Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
The Applied AI org builds the systems that turn human expertise into training data for frontier models, task pipelines, expert workflows, evaluation infrastructure, and the services that tie them together. We have synthetic pipelines and modular quality control systems that run in unison to generate highest quality tasks and at scale. All of it runs on backend systems that have to stay correct, fast, and observable while the volume behind them grows every month.
As a Software Engineer on Backend Systems, you'll own services in that stack: designing the data models, building the APIs, services, data pipelines that move work through the platform. This is a build role. You'll take a problem that's roughly scoped, make the design calls, ship it to production, and own it afterward.
We're hiring for depth in backend fundamentals rather than any particular domain. If you've built and operated real services, handled the schema migration that couldn't take downtime, found the query that fell over at 10x traffic, designed the retry logic that made a flaky dependency invisible to users, or build a system that recover when things break that's the experience that matters here. You'll work with a talent dense group of engineers who will review your designs and push your thinking, and you'll be expected to grow into owning larger surfaces quickly.
Design, build, and operate backend services in the Applied AI stack including APIs, data models, background jobs, and the pipelines that connect them.
Own features end to end: scope the problem, write the design, ship the code, instrument it, and keep it healthy in production.
Build and tune high-throughput data and job pipelines: queuing, batching, idempotency, retries, and backpressure.
Make the system fast and reliable by adding failure recovery in pipelines, profile hot spots, Agent token and cost attribution, caching issues, and set latency, error, cost budgets you actually hold to.
Instrument what you ship: observability, metrics, logging, tracing, and alerts that proactively catch problems.
Work on modern cutting edge tools, libraries and frameworks.
Manage and launch 10s of 1000s of containers, sandbox environments, manage resource allocation and system health.
Manage infrastructure as code using Terraform.
Participate in on-call for the systems you own, debug production incidents, and write up what you learn in RCCA.
Write clear design docs and give useful code review, we make technical decisions in writing and expect everyone to take part.
Work directly with product, operations, and research partners to turn ambiguous requirements into systems that ship.
2–5 years of professional backend engineering experience building and operating production systems.
Strong fundamentals in backend engineering: data structures, algorithms, concurrency, and writing code that's clear enough for the next person to change.
Hands-on experience with API design - REST, gRPC, or GraphQL, and an understanding of versioning, contracts, and backward compatibility.
Solid database skills: relational data modeling, indexing, query performance, transactions and isolation, and safe migrations. Familiarity with at least one NoSQL or key-value store and when it's the right choice.
Practical experience with distributed systems basics: queues and event streams, caching, idempotency, rate limiting, and designing for partial failure.
Experience with Data Orchestration and workflow management systems like Airflow, Temporal, Dagster.
Be able to roll your sleeves up and dig deeper into the lower level infrastructure issues container, permissions, logs, traces and find the needle in the haystack.
Experience running services in production: containers, CI/CD, monitoring and alerting, and debugging issues under real traffic.
Comfort with ambiguity you can take a loosely defined problem, ask the right questions, and come back with a plan.
Genuine excitement for agentic development and new technology, fluency with modern AI dev tools (e.g. Claude Code, Cursor, Copilot), and a real passion for writing good code.
Clear written and verbal communication. High ownership, pragmatism, and a bias toward shipping.
Experience building or integrating with LLM-backed services in production (evaluation, orchestration, or serving).
Familiarity with AI infrastructure providers like Modal, Fireworks, Baseten, Temporal
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As an Infrastructure Engineer at Mercor, you’ll build and scale the systems that power our rapid growth. You’ll ensure our infrastructure is highly available, cost-effective, and able to handle explosive traffic and compute demands. You’ll work closely with engineers across product, research, and operations to design scalable architectures, streamline deployments, and improve observability.
This is a software engineering role. You'll spend most of your time designing and writing the services, platforms, and tooling that the rest of engineering builds on, and the rest making sure they hold up in production.
We're hiring across Infrastructure: Platform, Developer Productivity, Production Engineering, Storage and Databases. We team-match after the first screen, so apply even if your background leans toward one area.
What You'll Work On
Design and build the platforms that sit between our engineers and the outside world: multi-tenant services that give dozens of teams isolated capacity, routing, quotas, and observability on demand, owned from architecture review through production.
Build the internal platforms and solutions that product and research engineers rely on every day, from deploy tooling to on-call automation, and treat them with the same design and testing rigor as customer-facing code.
Scale our multi-tenant services that fronts every model provider we use, so dozens of internal teams and products get isolated quotas, routing, observability, and capacity on demand without filing a ticket.
Run Temporal, Postgres, MongoDB, and our Kubernetes fleet at a scale where \"it worked last month\" isn't a guarantee, and design for the next 10x.
Own the reliability program: define SLOs that matter, kill noisy alerts, make CI/CD deploys boring, and turn every incident into a durable fix rather than a runbook entry.
Build the developer platform for an engineering org that ships dozens of times a day, and where coding agents are now first-class users of our CI, sandboxes, and deploy pipelines.
Design network and identity boundaries across production, preprod, and research compute so teams move fast without cross-environment risk.
Make the cost picture legible: attribute spend across data centers, and inference providers, and find the architectural changes that bend the curve.
Build the tooling that lets the rest of engineering self-serve: our on-call is already AI-triaged and auto-assigned; you'll decide what gets automated next.
What We're Looking For
We care far more about how you reason about systems than which tools you've used. Strong candidates typically have:
A deep grasp of reliability and scalability fundamentals: failure modes, backpressure, idempotency, capacity planning, and how distributed systems actually break under load.
Experience operating production systems that real users depend on, and the scars to prove it.
Strong software engineering fundamentals: you design systems before you build them, write code you're proud of in Python or Go, test it, and review others' code with care. Most of your recent work has been shipping software, not clicking through consoles.
Familiarity with cloud infrastructure (we're on AWS) and infrastructure-as-code (we use Terraform). You don't need to be an expert; you need to be curious and fast to pick it up.
Working knowledge of containers and how they're deployed. Kubernetes experience is a plus, not a gate.
High ownership: you see a gap, you write the proposal, you ship it, you carry the pager for it.
You Might Be a Great Fit If
You're a backend engineer with strong infra fundamentals who keeps getting pulled toward the platform layer because that's where the hardest problems are.
You've been the person who understood why the system fell over when nobody else did.
You've built internal platforms or tooling that other engineers loved using.
You've operated databases, message queues, or workflow engines at meaningful scale.
You've come from backend or DevOps and want to own infrastructure end to end.
How We Work
Small, senior team with direct access to the head of infra and to engineering leadership.
In-person five days a week in SF. Infra is a team sport for us.
We use AI coding agents heavily and expect you to as well; the interesting work is deciding what they should do, not typing.
Weekly on-call rotation with structured handoffs; on-call load is a metric we actively drive down.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Silicon Valley’s leading AI companies partner with Mercor to scale high-quality data operations. As an SPL, you will:
Drive the tactical execution of multi-million-dollar projects.
Build deep client relationships with researchers at top AI labs.
Orchestrate the work of 1,000+ contributors.
Ensure flawless operational execution under demanding timelines.
This is a hands-on operations role for candidates excited by process optimization, rapid iteration, and high-intensity problem solving. We're an early-stage startup that operates with intensity. That means being responsive on weekends and always holding a high bar for output. The upside — performance incentives, career trajectory, and meaningful equity — reflects that.
Design and manage end-to-end data pipelines, from customer specifications to final delivery.
Diagnose bottlenecks, restructure workflows, and implement solutions that improve quality, throughput, and cost-efficiency.
Examples include: creating incentive systems, re-sequencing workflows, refining instructions, and scaling review processes.
Act as the primary point of contact for leading AI labs.
Deliver clear, consistent reporting and proactively anticipate client needs.
Build long-term trust and identify opportunities for expansion.
Manage 1,000+ distributed contributors in Slack-based workspaces.
Source, vet, train, and performance-manage domain experts.
Maintain high execution standards across all stages of production.
Run daily internal syncs (“war rooms”) to stay ahead of issues.
Provide regular, transparent progress updates to customers.
Experience: Background in consulting, finance, startups, or other operationally intense environments.
Skills: Strong analytical and communication abilities; proven track record of managing complex projects.
Customer-Facing Experience: Comfortable working directly with high-profile clients.
Mindset: Excited by “gritty” process optimization and large-scale execution.
SPLs generate $10M+ in project revenue annually.
Customer requests are high-pressure and time-sensitive (e.g., onboarding 1,000 contributors in 3 days, delivering 10+ hours of quality data per contributor within 48 hours).
The role is explicitly operations-focused—not strategy, product, or GTM.
SPLs begin as individual contributors, running projects end-to-end.
High performers may advance to Senior SPL (SSPL) roles, managing multiple projects and teams of SPLs.
Base cash comp from $120K-$200k
Aggressive bi-annual performance bonus structure
Generous equity grant vested over 4 years
$10K proximity bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
Up to $15k Relocation bonus
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\n\nABOUT THE ROLE\n\nSilicon Valley’s leading AI companies partner with Mercor to scale high-quality data operations. As an SPL, you will:\n\n - Drive the tactical execution of multi-million-dollar projects.\n\n - Build deep client relationships with researchers at top AI labs.\n\n - Orchestrate the work of 1,000+ contributors.\n\n - Ensure flawless operational execution under demanding timelines.\n\nThis is a hands-on operations role for candidates excited by process optimization, rapid iteration, and high-intensity problem solving. We're an early-stage startup that operates with intensity. That means being responsive on weekends and always holding a high bar for output. The upside — performance incentives, career trajectory, and meaningful equity — reflects that.\n\n\n\n\nCORE RESPONSIBILITIES\n\n\n\n\nOPERATIONAL EXCELLENCE\n\n - Design and manage end-to-end data pipelines, from customer specifications to final delivery.\n\n - Diagnose bottlenecks, restructure workflows, and implement solutions that improve quality, throughput, and cost-efficiency.\n\n - Examples include: creating incentive systems, re-sequencing workflows, refining instructions, and scaling review processes.\n\n\n\n\nCUSTOMER RELATIONSHIPS\n\n - Act as the primary point of contact for leading AI labs.\n\n - Deliver clear, consistent reporting and proactively anticipate client needs.\n\n - Build long-term trust and identify opportunities for expansion.\n\n\n\n\nLARGE-SCALE COORDINATION\n\n - Manage 1,000+ distributed contributors in Slack-based workspaces.\n\n - Source, vet, train, and performance-manage domain experts.\n\n - Maintain high execution standards across all stages of production.\n\n\n\n\nQUALITY REPORTING\n\n - Run daily internal syncs (“war rooms”) to stay ahead of issues.\n\n - Provide regular, transparent progress updates to customers.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - Experience: Background in consulting, finance, startups, or other operationally intense environments.\n\n - Skills: Strong analytical and communication abilities; proven track record of managing complex projects.\n\n - Customer-Facing Experience: Comfortable working directly with high-profile clients.\n\n - Mindset: Excited by “gritty” process optimization and large-scale execution.\n\n\n\n\nKEY FACTS\n\n - SPLs generate $10M+ in project revenue annually.\n\n - Customer requests are high-pressure and time-sensitive (e.g., onboarding 1,000 contributors in 3 days, delivering 10+ hours of quality data per contributor within 48 hours).\n\n - The role is explicitly operations-focused—not strategy, product, or GTM.\n\n\n\n\nGROWTH PATH\n\n - SPLs begin as individual contributors, running projects end-to-end.\n\n - High performers may advance to Senior SPL (SSPL) roles, managing multiple projects and teams of SPLs.\n\n\n\n\nCOMPENSATION\n\n - Base cash comp from $120K-$200k\n\n - Aggressive bi-annual performance bonus structure\n\n - Generous equity grant vested over 4 years\n\n - $10K proximity bonus (if you live within 0.5 miles of our office)\n\n - $1.5K monthly stipend for meals\n\n - Free Equinox membership\n\n - $200 monthly laundry reimbursement\n\n - $200 monthly personal wellness reimbursement\n\n - Health, Dental, Vision insurance\n\n - 401(k) with company match\n\n - Up to $15k Relocation bonus \n \n \n\nWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request."},{"id":"e79473b9-d661-4f7b-8a4c-27a3834afabb","title":"Strategic Projects Lead, Deeptune","department":"Deeptune","team":"Operations","employmentType":"FullTime","location":"New York City","secondaryLocations":[],"publishedAt":"2026-08-10T16:42:28.966+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/e79473b9-d661-4f7b-8a4c-27a3834afabb","applyUrl":"https://jobs.ashbyhq.com/mercor/e79473b9-d661-4f7b-8a4c-27a3834afabb/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Deeptune is an RL environments lab within Mercor that builds training gyms for AI agents: high-fidelity simulations where AI learns to perform real-world tasks through reinforcement learning. We work with the leading AI labs to help them train the next generation of agentic models, and our environments have already contributed to recent breakthroughs in computer use, code generation, and multi-step task completion.
We're looking for a Strategic Projects Lead to own and scale the data operations that power frontier AI training. This is a high-ownership role for someone with strong agency, comfortable making decisions with incomplete information, and able to build processes that hold up under pressure.
As an SPL, you will own projects end to end, from scoping through final delivery. You'll manage a distributed team, forecast timelines, meet throughput targets, and maintain a high bar for everything that ships. You'll face ambiguous problems and are expected to solve them in ways that scale across the org. Your work will directly shape frontier models and how they're deployed.
We are hiring for Strategic Projects Associates, Strategic Projects Leads, and Senior Strategic Projects Leads. If you apply through this link, we'll evaluate you for the role that best fits your level of experience.
Own delivery end-to-end: You're accountable for data delivery end-to-end, including deadlines, throughput, and quality
Solve ambiguous problems: When you find a broken or inefficient process, you will build a scalable solution that the whole org will benefit from
Build and lead contributor teams: Recruit, train, and manage a distributed workforce; turn new hires into high performers.
Partner cross-functionally: Work closely with our engineers to scope technical requirements, flag blockers, and ship improvements to our pipeline infrastructure
Drive continuous improvement: Identify bottlenecks, inefficiencies, and quality gaps, and then build the solution.s
SPLs are obsessed with both quality and velocity. You'll combine analytical rigor, quantitative thinking, strong judgment, and creative problem-solving to move data efficiently through complex systems – often with imperfect information.
2+ Years of experience: Background in consulting, finance, startups, or other operationally intense environments.
Skills: Strong analytical and communication abilities; proven track record of managing complex projects.
Customer-Facing Experience: Comfortable working directly with high-profile clients.
Mindset: Excited by \"gritty\" process optimization and large-scale execution.
You're a self-directed operator who takes ownership without being asked.
You'd rather build a system than do the same task twice.
You're motivated by the chance to shape how frontier AI gets built.
You are motivated by ownership, impact, and building frontier tech.
Your work is a craft you want to master.
You thrive in ambiguity and love hard problems.
You appreciate diverse perspectives and uncommon ideas.
You are excited to build in person, 5 days a week, from our office at One World Trade.
SPLs generate $10M+ in project revenue annually.
Customer requests are high-pressure and time-sensitive (e.g., onboarding 1,000 contributors in 3 days, delivering 10+ hours of quality data per contributor within 48 hours).
The role is explicitly operations-focused—not strategy, product, or GTM.
SPLs begin as individual contributors, running projects end-to-end.
High performers may advance to Senior SPL (SSPL) roles, managing multiple projects and teams of SPLs.
Base cash comp from $120K-$150k for SPL, and up to $200k for an SSPL
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
$15K relocation bonus (for moving to the New York metropolitan area)
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\n\nABOUT DEEPTUNE\n\nDeeptune is an RL environments lab within Mercor that builds training gyms for AI agents: high-fidelity simulations where AI learns to perform real-world tasks through reinforcement learning. We work with the leading AI labs to help them train the next generation of agentic models, and our environments have already contributed to recent breakthroughs in computer use, code generation, and multi-step task completion.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Strategic Projects Lead to own and scale the data operations that power frontier AI training. This is a high-ownership role for someone with strong agency, comfortable making decisions with incomplete information, and able to build processes that hold up under pressure.\n\nAs an SPL, you will own projects end to end, from scoping through final delivery. You'll manage a distributed team, forecast timelines, meet throughput targets, and maintain a high bar for everything that ships. You'll face ambiguous problems and are expected to solve them in ways that scale across the org. Your work will directly shape frontier models and how they're deployed.\n\nWe are hiring for Strategic Projects Associates, Strategic Projects Leads, and Senior Strategic Projects Leads. If you apply through this link, we'll evaluate you for the role that best fits your level of experience.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own delivery end-to-end: You're accountable for data delivery end-to-end, including deadlines, throughput, and quality\n\n - Solve ambiguous problems: When you find a broken or inefficient process, you will build a scalable solution that the whole org will benefit from\n\n - Build and lead contributor teams: Recruit, train, and manage a distributed workforce; turn new hires into high performers.\n\n - Partner cross-functionally: Work closely with our engineers to scope technical requirements, flag blockers, and ship improvements to our pipeline infrastructure\n\n - Drive continuous improvement: Identify bottlenecks, inefficiencies, and quality gaps, and then build the solution.s\n\nSPLs are obsessed with both quality and velocity. You'll combine analytical rigor, quantitative thinking, strong judgment, and creative problem-solving to move data efficiently through complex systems – often with imperfect information.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 2+ Years of experience: Background in consulting, finance, startups, or other operationally intense environments.\n\n - Skills: Strong analytical and communication abilities; proven track record of managing complex projects.\n\n - Customer-Facing Experience: Comfortable working directly with high-profile clients.\n\n - Mindset: Excited by \"gritty\" process optimization and large-scale execution.\n\n\n\n\nABOUT YOU\n\n - You're a self-directed operator who takes ownership without being asked.\n\n - You'd rather build a system than do the same task twice.\n\n - You're motivated by the chance to shape how frontier AI gets built.\n\n - You are motivated by ownership, impact, and building frontier tech.\n\n - Your work is a craft you want to master.\n\n - You thrive in ambiguity and love hard problems.\n\n - You appreciate diverse perspectives and uncommon ideas.\n\n - You are excited to build in person, 5 days a week, from our office at One World Trade.\n\n\nKEY FACTS\n\n - SPLs generate $10M+ in project revenue annually.\n\n - Customer requests are high-pressure and time-sensitive (e.g., onboarding 1,000 contributors in 3 days, delivering 10+ hours of quality data per contributor within 48 hours).\n\n - The role is explicitly operations-focused—not strategy, product, or GTM.\n\n\nGROWTH PATH\n\n - SPLs begin as individual contributors, running projects end-to-end.\n\n - High performers may advance to Senior SPL (SSPL) roles, managing multiple projects and teams of SPLs.\n\n\nCOMPENSATION\n\n - Base cash comp from $120K-$150k for SPL, and up to $200k for an SSPL\n\n - Bi-annual performance bonus structure\n\n - Generous equity grant vested over 4 years\n\n - $15K relocation bonus (for moving to the New York metropolitan area)\n\n - $10K housing bonus (if you live within 0.5 miles of our office)\n\n - $1.5K monthly stipend for meals\n\n - Free Equinox membership\n\n - $200 monthly laundry reimbursement\n\n - $200 monthly personal wellness reimbursement\n\n - Health, Dental, Vision insurance\n\n - 401(k) with company match\n \n \n\nWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request."},{"id":"982a0751-e9eb-4b96-ac93-a1fd1d2f9152","title":"Data Scientist","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2025-08-30T16:26:54.074+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/982a0751-e9eb-4b96-ac93-a1fd1d2f9152","applyUrl":"https://jobs.ashbyhq.com/mercor/982a0751-e9eb-4b96-ac93-a1fd1d2f9152/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
In your first year you’ll ship analyses and experiments that move core product metrics, match quality, time-to-hire, candidate experience, and revenue. You’ll:
Define north-star and feature-level metrics for our ranking, interview analytics, and payouts systems.
Design/run A/B tests and quasi-experiments; turn results into product decisions the same week.
Build source-of-truth dashboards and lightweight data models so teams can self-serve answers.
Instrument events with engineers; improve data quality and latency from ingestion to insight.
Prototype quick models (from baselines to gradient boosting) to improve matching and scoring.
Help evaluate LLM-powered agents: design rubrics, human-in-the-loop studies, and guardrail canaries.
You have solid fundamentals (statistics, SQL, Python) and projects you’re proud to demo. You iterate fast, frame the question, test, and ship in day, and care as much about clarity of communication as you do about p-values. Curiosity about LLM evaluation, retrieval, and ranking is a bonus; you’ll learn alongside folks who’ve shipped at Jane Street, Citadel, Databricks, and Stripe.
0–10 years in data science/analytics or similar; BS/BA in a quantitative field (or equivalent work).
Strong SQL; Python for analysis; comfort with experiment design and causal thinking.
Communicates crisply with engineers, PMs, and leadership; turns analysis into action.
Nice-to-haves: dbt, dashboarding (Hex/Mode/Looker), marketplace or search/recommendation metrics, LLM/agent evaluation.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Support Workplace Operations
Help keep the office running day-to-day; supplies, logistics, and making sure things are organized and in order
Be a go-to resource for in-office needs and help resolve issues quickly as they come up
Assist with vendor coordination and facilities tasks as needed
Assist with Event Coordination
Help plan and execute team events — from logistics and timelines to day-of execution
Support candidate dinners, team offsites, and internal events
Coordinate communications and scheduling around events
Recruiting Coordination Coverage
Step in to support the recruiting coordination team as needed — scheduling interviews, managing Ashby, and ensuring a smooth candidate experience
Assist with onsite logistics for candidate interviews
Help keep the pipeline organized and moving when the team needs extra bandwidth
HR & People Ops Support
Assist with HR administrative tasks including onboarding logistics and people operations
Help keep documentation and processes organized as the team scales
General Admin & Fill-In Support
Back up other admin and ops team members when they're out of office or overloaded
Handle ad hoc tasks across the team — you're the person who figures things out when something pops up
Support documentation, templates, and process work as needed
Early-career candidate; new grads strongly encouraged to apply
High energy and a genuinely positive attitude that makes the team around you better
Strong organizational skills and attention to detail
Comfortable managing multiple things at once and switching contexts quickly
Events or coordination experience a plus; whether professional, academic, or extracurricular (sorority event planning, team coordination, etc. all count)
Clear, concise communicator (written and verbal)
Present, available, and eager to learn in a fast-paced environment
Based in San Francisco or ready to relocate immediately (start date is asap)
Excited to be in-office and thrive in a high-ownership, high-intensity startup environment
Amazing tech stack and AI fluency; Notion, Slack, Claude, etc.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
We're looking for a strong engineer who can build agentic products that scale. You will work with:
Backend: Python, FastAPI, Django, Pydantic
Frontend: Next.js, React, TypeScript, Tailwind
Data: PostgreSQL, MySQL, Snowflake, DuckDB, Redis
Orchestration/Infra: Kubernetes, Temporal, Modal, Woz
Agents/LLM: LangGraph, LangChain, FastMCP, Harbor, NemoGym
Observability: Datadog, PostHog, LangSmith
At the end of the process, you’ll be team-matched to where you can have the most impact, on one of the following:
Automation – We build intelligent systems and agents that automate operational work at scale—handling talent management, decision-making insights, and knowledge access—so humans can focus on higher-level thinking.This is a newly formed, CEO-facing team focused on 0→1 product development, with a strong emphasis on business impact. The work is highly cross-functional, touching nearly every system across the company.
Studio – We own Mercor’s evaluation system & annotation platform for RL environments and tasks. We build harnesses, agents, verifiers, and the end-to-end infrastructure for producing frontier data. Our mission is to scale up high quality RL environments/tasks and expand their capabilities. We work closely with researchers at frontier AI labs to jointly shape the direction of next-generation models.
What You’ll Do
Own agentic features end-to-end — from scoping with researchers/ops partners through implementation, launch, and iteration on real customer feedback.
Design and ship LLM agents, harnesses, and verifiers — including the tools, prompts, and policies that make them reliable.
Build the Python/FastAPI services and Temporal/Modal pipelines that orchestrate agent runs, human-in-the-loop review and iterations.
Build state of the art RL environments that expand the capabilities of frontier agents, with realistic enterprise apps, simulated coworkers, and rich company data rooms that support tasks spanning hours to days.
Build tooling that turns agent trajectories into insight, from statistical analysis to automated failure mode detection.
Build and refine the full-stack surfaces and data infrastructure — craft Next.js/React interfaces where operators and experts work with agents, evolve data models to give agents the structured context and audit trails they need.
Define agent quality and drive continuous improvement — build evals, instrument traces, analyze failure modes, and iterate on prompts, tools, and guardrails while raising the bar for reliability, cost, latency, and UX.
Partner cross-functionally to shape agent autonomy — work with Product, Design, Research and Ops to draw the lines between autonomous action, propose-and-approve flows, and human-in-the-loop decisions.
Why Mercor
Impact: Your work powers how the world’s leading AI labs train and test their models.
Learning: Get early insights into frontier model capabilities months before the market.
Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Product Manager, you'll build products that help the world's leading AI labs and enterprises transform human expertise into better AI models.
You'll own a major product area with significant autonomy, working directly with engineering and leadership to turn ambiguous problems into shipped products. You'll balance long-term strategy with rapid execution, making decisions that directly shape the company's trajectory and bottom line.
Advance the frontier of AI: Mercor is organizing humanity's expertise into better AI models for every lab and enterprise. You'll build and own the products that make this possible.
Understand User Needs: Work directly with expert annotators, customers, and internal operators to deeply understand their needs.
Understand the Business: Work backwards from business outcomes to make product decisions that impact business health and growth.
End-to-end ownership: Own product and feature lifecycles end-to-end, from conception to execution to sunsetting when necessary .
Get in the weeds: Write specs and PRDs but also build dashboards and make small PRs to unblock yourself.
Collaborate: Partner closely with engineering, research, operations, and design to ship products quickly.
This is a general listing for all levels and product areas at Mercor. Candidates will be matched at a later stage to one of the following groups. We are willing to make exceptional offers to outlier candidates.
Expert Network: Build products that grow and improve the world's highest-quality network of AI experts.
Annotation and Eval Interface: Build the system of record for creating and analyzing datasets
Research: Productize advances in eval science, model-in-the-loop, and post-training to improve the value of our offerings.
New Bets: Launch 0 -> 1 product bets.
Experience: 2+ years as a product manager, prior experience in SWE, ML, or DS preferred.
High Ownership: You take full accountability for outcomes, not just outputs.
Independence: Able to self-direct in ambiguous contexts, creating clarity for others.
Technical Fluency: Comfortable building scrappy MVPs yourself when needed to validate direction, unblock engineering, or accelerate iteration.
Strategic Vision: Strong ability to connect user needs and business context to long-term product direction.
User Obsession and Understanding: Talks to users frequently, knows how to effectively conduct user research and customer interviews.
Balance of Metrics & Vision: Equally comfortable running rigorous experiments and pushing forward visionary bets.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
In the Research Operations role at Mercor, you will work at the intersection of engineering and applied AI research. This role will own multi-million-dollar data programs end to end with responsibilities to:
Reason about opportunities for frontier coding models, and translate that into the data that will make it stronger.
Shape how data gets produced, including human-expert workflows, synthetic generation pipelines, and model-in-the-loop systems.
Turn designs into scaled, high-quality data pipelines and own deliveries to customers.
Build deep relationships with lab researchers and become the person they trust to tell them what data they actually need.
Bachelor’s degree in Computer Science, a STEM field, or an equivalent technical discipline.
At least two years of experience in software development or a forward deployed engineering role.
A track record of running complex, high-stakes projects end to end, and genuine energy for large-scale execution and gritty process optimization under pressure.
Strong analytical and communication skills; comfortable owning high-profile relationships with technical customers.
Experience designing scalable data or automation pipelines
Research fluency: connecting model/benchmark literature to what data would move a frontier model; having created a benchmark or published analysis of model behavior.
Backgrounds that often fit: data scientists, software engineers, or forward deployed engineers who love operating, technical PMs, research engineers, or strong generalist operators with real technical range. Backgrounds from consulting, finance, or high-growth startups can work if paired with real technical fluency.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K proximity bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
We’re looking for someone who wants to bring a full-stack perspective to data. As a Software Engineer supporting our Data function, you will be responsible for creating and maintaining pipelines that enable our Data Science, Engineering, and Product teams, and the wider Mercor organization.
Your focus will be on data reliability, availability, and timeliness, with a focus on collaboration (and significant operational crossover with) our Data Science team and the many partner functions.
What You’ll Work On
Building robust pipelines to ingest, transform, and consolidate data from diverse sources (e.g., MongoDB, Airtable, PostHog, production databases).
Designing dbt models and transformations to standardize and unify many disparate tables into clean, production-ready schemas.
Implementing scalable, fault-tolerant data workflows with Fivetran, dbt, SQL, and Python.
Partnering with engineers, data scientists, and business stakeholders to ensure data availability, accuracy, and usability.
Owning data quality and reliability across the stack, from ingestion through to consumption.
Continuously improving pipeline performance, monitoring, and scalability.
What We’re Looking For
Proven experience in data engineering, with strong knowledge of SQL, Python, and modern data stack tools (Fivetran, dbt, Snowflake or similar).
Experience building and maintaining large-scale ETL/ELT pipelines across heterogeneous sources (databases, analytics platforms, SaaS tools).
Strong understanding of data modeling, schema design, and transformation best practices.
Familiarity with data governance, monitoring, and quality assurance.
Comfort working cross-functionally with engineering, product, and operations teams.
Bonus: prior experience supporting machine learning workflows or analytics platforms.
Why Mercor
Impact: Your work powers how the world’s leading AI labs train and test their models.
Learning: Get early insights into frontier model capabilities months before the market.
Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Silicon Valley’s top AI companies work with Mercor to find domain experts who can help train and evaluate their models. As a Strategic Project Associate (SPA) at Mercor, you will work with Strategic Project Leads to drive the tactical execution of these projects, ensure top-notch service to customers, and single-handedly drive millions of dollars in revenue. In doing so, you will have a significant impact on Mercor’s long-term growth. Strategic Project Associates will report to a Strategic Project Lead.
Our Strategic Project Associate program is designed for exceptional recent and upcoming grads (targeted graduation date of December '26 or May/June '27) and will provide a fast-paced introduction to running large scale human data projects. Promotions to Strategic Project Lead will be considered on a quarterly basis (with a target of ~6-12 months). We're an early-stage startup that operates with intensity. That means being responsive on weekends and always holding a high bar for output. The upside — performance incentives, career trajectory, and meaningful equity — reflects that.
Generate $10M+ in revenue by executing large-scale projects on behalf of leading AI labs and tech companies
Source, vet, and manage the performance of hundreds of domain experts from different disciplines (e.g., software engineering, medicine, law)
Foster strong relationships with researchers at leading AI labs and tech companies, anticipating client needs and identifying opportunities for project expansion
Collaborate closely with the wider Operations team to execute project strategies, meet client objectives, and drive process optimizations
Interface with the Engineering & Machine Learning team to improve the Mercor platform
Experience in consulting, finance, startups, or similar organizations
Strong analytical and communication skills
Experience working with customers
Base cash compensation $120k
Generous equity grant vested over 4 years
A $7.5K relocation bonus (if moving to the Bay Area)
$10K proximity bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance401(k) with company match
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\n\n\n\nABOUT THE ROLE\n\nSilicon Valley’s top AI companies work with Mercor to find domain experts who can help train and evaluate their models. As a Strategic Project Associate (SPA) at Mercor, you will work with Strategic Project Leads to drive the tactical execution of these projects, ensure top-notch service to customers, and single-handedly drive millions of dollars in revenue. In doing so, you will have a significant impact on Mercor’s long-term growth. Strategic Project Associates will report to a Strategic Project Lead.\n\nOur Strategic Project Associate program is designed for exceptional recent and upcoming grads (targeted graduation date of December '26 or May/June '27) and will provide a fast-paced introduction to running large scale human data projects. Promotions to Strategic Project Lead will be considered on a quarterly basis (with a target of ~6-12 months). We're an early-stage startup that operates with intensity. That means being responsive on weekends and always holding a high bar for output. The upside — performance incentives, career trajectory, and meaningful equity — reflects that.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Generate $10M+ in revenue by executing large-scale projects on behalf of leading AI labs and tech companies\n\n - Source, vet, and manage the performance of hundreds of domain experts from different disciplines (e.g., software engineering, medicine, law)\n\n - Foster strong relationships with researchers at leading AI labs and tech companies, anticipating client needs and identifying opportunities for project expansion\n\n - Collaborate closely with the wider Operations team to execute project strategies, meet client objectives, and drive process optimizations\n\n - Interface with the Engineering & Machine Learning team to improve the Mercor platform\n \n \n\n\nWHAT ARE WE LOOKING FOR?\n\n - Experience in consulting, finance, startups, or similar organizations\n\n - Strong analytical and communication skills\n\n - Experience working with customers\n \n \n\n\nCOMPENSATION\n\n - Base cash compensation $120k\n\n - Generous equity grant vested over 4 years\n\n - A $7.5K relocation bonus (if moving to the Bay Area)\n\n - $10K proximity bonus (if you live within 0.5 miles of our office)\n\n - $1.5K monthly stipend for meals\n\n - Free Equinox membership\n\n - $200 monthly laundry reimbursement\n\n - $200 monthly personal wellness reimbursement\n\n - Health, Dental, Vision insurance401(k) with company match\n \n \n\nWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request."},{"id":"6de56f0d-46a2-4103-abca-97332824b02d","title":"Strategic Finance Lead","department":"Finance ","team":"Finance","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-11T20:08:17.669+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/6de56f0d-46a2-4103-abca-97332824b02d","applyUrl":"https://jobs.ashbyhq.com/mercor/6de56f0d-46a2-4103-abca-97332824b02d/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About The Role
As we scale, we’re building out a Strategic Finance team to elevate how we plan, allocate resources, and assess performance across the business. This role will help shape a finance function in rapid-growth mode and directly influence product strategy, investment decisions, and long-term planning.
You will own the financial health of key product lines and customers, including through forecasting, budgeting, market analysis, and full P&L ownership. You’ll partner closely with GMs, product leaders, and executives, bringing analytical rigor, clear communication, and strong judgment.
This role is ideal for someone who enjoys building from scratch, thrives in ambiguity, and wants outsized scope early in their career.
Key Responsibilities
Own product-line P&Ls: Manage revenue, margins, opex, and unit economics with a clear view into performance drivers.
Serve as the primary finance partner: Support GMs and product stakeholders with analysis, insights, and financial guidance.
Lead forecasting, planning & financial modeling: Build revenue models, size opportunities, and contribute to quarterly and annual plans.
Develop budgets and manage operating expenses: Create product-level budgets, monitor spend, and identify risks and opportunities.
Support capital allocation decisions: Evaluate returns on product investments, pricing changes, and operational initiatives.
Surface insights for leadership: Translate data into recommendations that shape product and company strategy.
Improve financial reporting and processes: Enhance dashboards, workflows, and systems to increase accuracy and scalability.
What We’re Looking For
5+ years of relevant experience in investment banking, private/growth equity, consulting, or strategic finance at a high-growth tech company. Prior startup experience preferred.
Strong analytical and modeling skills, with comfort working with incomplete or complex data.
High ownership and execution, able to run workstreams end-to-end in a fast-paced environment.
Clear communicator and cross-functional partner who can synthesize insights and influence decisions.
Process-oriented and adaptable, with interest in building and improving systems and workflows.
Compensation
Base cash comp from $165K-$225k
Generous equity grant
$15K relocation bonus (for moving to the Bay Area)
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance401(k) with company match
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\n\n\nAbout The Role\n\n\n\nAs we scale, we’re building out a Strategic Finance team to elevate how we plan, allocate resources, and assess performance across the business. This role will help shape a finance function in rapid-growth mode and directly influence product strategy, investment decisions, and long-term planning.\n\nYou will own the financial health of key product lines and customers, including through forecasting, budgeting, market analysis, and full P&L ownership. You’ll partner closely with GMs, product leaders, and executives, bringing analytical rigor, clear communication, and strong judgment.\n\nThis role is ideal for someone who enjoys building from scratch, thrives in ambiguity, and wants outsized scope early in their career.\n\n\n\nKey Responsibilities\n\n - Own product-line P&Ls: Manage revenue, margins, opex, and unit economics with a clear view into performance drivers.\n\n - Serve as the primary finance partner: Support GMs and product stakeholders with analysis, insights, and financial guidance.\n\n - Lead forecasting, planning & financial modeling: Build revenue models, size opportunities, and contribute to quarterly and annual plans.\n\n - Develop budgets and manage operating expenses: Create product-level budgets, monitor spend, and identify risks and opportunities.\n\n - Support capital allocation decisions: Evaluate returns on product investments, pricing changes, and operational initiatives.\n\n - Surface insights for leadership: Translate data into recommendations that shape product and company strategy.\n\n - Improve financial reporting and processes: Enhance dashboards, workflows, and systems to increase accuracy and scalability.\n\n\n\nWhat We’re Looking For\n\n - 5+ years of relevant experience in investment banking, private/growth equity, consulting, or strategic finance at a high-growth tech company. Prior startup experience preferred.\n\n - Strong analytical and modeling skills, with comfort working with incomplete or complex data.\n\n - High ownership and execution, able to run workstreams end-to-end in a fast-paced environment.\n\n - Clear communicator and cross-functional partner who can synthesize insights and influence decisions.\n\n - Process-oriented and adaptable, with interest in building and improving systems and workflows.\n\n\n\nCompensation\n\n - Base cash comp from $165K-$225k\n\n - Generous equity grant\n\n - $15K relocation bonus (for moving to the Bay Area)\n\n - $10K housing bonus (if you live within 0.5 miles of our office)\n\n - $1.5K monthly stipend for meals\n\n - Free Equinox membership\n\n - $200 monthly laundry reimbursement\n\n - $200 monthly personal wellness reimbursement\n\n - Health, Dental, Vision insurance401(k) with company match\n\n\n\nWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request."},{"id":"97b8c17e-e438-4b61-bab1-9ae18e2c3f34","title":"Research Engineer - Environments, Data and Post-Training","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-03-25T01:43:06.783+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/97b8c17e-e438-4b61-bab1-9ae18e2c3f34","applyUrl":"https://jobs.ashbyhq.com/mercor/97b8c17e-e438-4b61-bab1-9ae18e2c3f34/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Research Engineer at Mercor, you’ll work at the intersection of engineering and applied AI research. You’ll contribute directly to post-training and RLVR, synthetic data generation, and large-scale evaluation workflows that meaningfully impact frontier language models.
Your work will be used to train large language models to master tool use, agentic behavior, and real-world reasoning in real-world production environments. You’ll shape rewards, run post-training experiments, and build scalable systems that improve model performance. You’ll help design and evaluate datasets, create scalable data augmentation pipelines, and build rubrics and evaluators that push the boundaries of what LLMs can learn.
Work on post-training and RLVR pipelines to understand how datasets, rewards, and training strategies impact model performance.
Design and run reward-shaping experiments and algorithmic improvements (e.g., GRPO, DAPO) to improve LLM tool-use, agentic behavior, and real-world reasoning.
Quantify data usability, quality, and performance uplift on key benchmarks.
Build and maintain data generation and augmentation pipelines that scale with training needs.
Create and refine rubrics, evaluators, and scoring frameworks that guide training and evaluation decisions.
Build and operate LLM evaluation systems, benchmarks, and metrics at scale.
Collaborate closely with AI researchers, applied AI teams, and experts producing training data.
Operate in a fast-paced, experimental research environment with rapid iteration cycles and high ownership.
Strong applied research background, with a focus on post-training and/or model evaluation.
Strong coding proficiency and hands-on experience working with machine learning models.
Strong understanding of data structures, algorithms, backend systems, and core engineering fundamentals.
Familiarity with APIs, SQL/NoSQL databases, and cloud platforms.
Ability to reason deeply about model behavior, experimental results, and data quality.
Excitement to work in person in San Francisco, five days a week (with optional remote Saturdays), and thrive in a high-intensity, high-ownership environment.
Real-world post-training team experience in industry (highest priority).
Publications at top-tier conferences (NeurIPS, ICML, ACL).
Experience training models or evaluating model performance.
Experience in synthetic data generation, LLM evaluations, or RL-style workflows.
Work samples, artifacts, or code repositories demonstrating relevant skills.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Senior Growth Lead, you will own candidate pipeline performance end-to-end for some of Mercor’s most important initiatives. You’ll operate with significantly autonomy and lead a pod of Associates, making judgment calls on prioritization, channel strategy, and execution.
This role is ideal for someone who has mastered the fundamentals of sales and outbound work and is ready to drive outcomes. You will still be hands-on, but you’ll also shape strategy, improve systems, and help raise the bar for the broader team.
Own Expert Sourcing Pods: Lead expert sourcing for a defined set of projects, owning outcomes across quality, speed, and throughput
Manage Capacity & Throughput: Plan and balance your own workload and the capacity of Growth Associates to consistently meet demand
Scale & Optimize Sourcing Channels: Evaluate, experiment with, and scale sourcing channels to maximize yield and efficiency
Build & Maintain Expert Relationships: Develop durable relationships with high-performing experts to drive repeat engagement
Oversee Talent Pipelines: Manage multiple pipelines end-to-end, identifying bottlenecks and proactively reallocating resources
Partner Cross-Functionally: Work closely with Project Managers, Product, and Engineering to align sourcing strategy with project needs
Drive Growth Outcomes: Ensure your pod’s sourcing efforts directly support revenue growth and delivery at scale
Experience
3–5 years of experience in GTM, outbound sales, or growth roles
Demonstrated success owning pipelines and delivering results at scale
Strong familiarity with LinkedIn Recruiter, Sales Navigator, and similar tools
Skills & Mindset
Strong judgment and ability to prioritize under pressure
Highly data-driven: comfortable tracking, analyzing, and optimizing funnel metrics
Excellent communication and relationship-building skills
Self-directed, accountable, and comfortable operating with ambiguity
Thrives in fast-paced, performance-oriented environments
Nice to Have
Experience mentoring or onboarding junior teammates
Exposure to marketplaces, platforms, or two-sided businesses
Comfort working cross-functionally with technical teams
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As Sales Lead you will build and scale Mercor’s external partnerships from zero to one. You’ll own the full lifecycle—from identifying opportunities and sourcing partners to negotiating contracts and managing long-term relationships.
This role sits at the intersection of business development, data strategy, contracting, and stakeholder management. It is highly autonomous, deeply strategic, and intentionally scrappy. You will be trusted to figure things out, move fast, and create leverage where none exists yet.
Build Partnerships from Scratch (0 → 1)
Identify, outreach, design, and launch new partnership models with external organizations, networks, and institutions
Test and iterate on partnership structures before scaling what works
Create early frameworks and playbooks where none exist today
Business Development & Deal Ownership
Lead outbound and inbound partnership conversations end-to-end
Qualify partners, define mutual value, and drive deals to close
Structure commercial terms that align incentives and support long-term collaboration
Contracting & Negotiation
Own negotiations across pricing, scope, timelines, and obligations
Work closely with Legal and Finance to move quickly without sacrificing rigor
Balance speed, flexibility, and scalability in early-stage agreements
Stakeholder Management
Act as the primary point of contact for external partners and senior stakeholders
Manage complex, multi-party relationships with clarity and credibility
Align internal teams (Product, Research, Ops, Legal) around partnership priorities
Operate Scrappily, Then Systematize
Start hands-on: build lists, run outreach, draft docs, close deals yourself
Identify patterns and convert them into repeatable processes over time
Help shape the tools, metrics, and systems needed as the function scales
Experience
5+ years in Business Development, Strategic Partnerships, or Commercial Roles
Proven experience negotiating and closing contracts
Track record of managing high-stakes external stakeholders
Direct experience working with data products
Mindset & Skills
Builder mentality: excited by ambiguity and 0→1 problems
Scrappy, resourceful, and comfortable doing unglamorous work early
Strong commercial instincts and negotiation skills
Clear, concise communicator with executive presence
Able to operate independently while partnering closely with internal teams
Nice to Have
Experience in marketplaces, platforms, or high-growth startups
Exposure to data-driven products, AI, or technical stakeholders
Background working cross-functionally with legal and finance teams
Familiarity with compliance and data rights
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As an Ops Recruiter at Mercor, you’ll own full-cycle hiring for critical roles across a variety of organizations, with a particular focus on our Delivery org. You will partner directly with General Managers and Account Leads to find high performing operators that will partner directly with the leading AI Labs in the world, playing an instrumental role in scaling one of the fastest-growing companies in the world. This is a true 0→1 motion, with an opportunity to lay the foundation for the future of recruiting at Mercor.
Own full-cycle recruiting (sourcing → close) across a variety of organizations (such as marketing, finance, people ops, with a prominent focus on operations)
Partner with b to map out needs and implement continual process improvements
Build top-of-funnel using creative outbound, talent intelligence, and Mercor’s own product (structured screens, automated work samples, and calibrated rubrics)
Coach hiring managers and interviewers on structured interviewing, leveling, and decision hygiene
Operationalize hiring systems: track and optimize key funnel metrics (pass-through rates, time-in-stage, source yield)
Champion speed and quality: drive SLAs for same-day debriefs, fast offers, and strong candidate experience
Build brand: campaigns, referrals, and events that attract top engineers and operators
Represent Mercor externally, you’ll be a face of the brand for an exceptionally competitive talent market
Collaborate on dashboards, metrics, and process automation within Ashby and other recruiting systems
Refinement of technical recruiting motion as the Ops org shifts to hire more frequently from technical backgrounds
Experience with full-cycle recruiting across IC and leadership roles
Proven ability to build and scale hiring systems, identify key metrics, and make data-driven decisions
High motor, outcome-oriented approach; Mercor is in hypergrowth, and hiring is viewed as a key strategic driver of that growth
Strong communication skills; able to work efficiently with General Managers, Account Leads, and internal leadership
Familiarity with a range of roles, emphasis on GTM, Strategy, Operations, ideally with some mastery of technical roles such as SWEs or FDEs
Confident representing the Mercor brand to top candidates
Familiarity with Ashby or ability to quickly adopt new tools and systems
Experience as a founding recruiter or early-stage startup builder
Interest in the human data / AGI space
Technical recruiting expertise - Mercor's business is trending in an increasingly technical perspective over time, and we are hiring a greater percentage of technical professionals into client facing operator roles
Agility / Adaptability - ability to move fast, pivot with business shifts, and maintain best-in-class outcomes
Operational Rigor - ability to bring order to an unstructured environment
Growth Mindset - You don’t need to be an expert on AI, but you do need to have a strong desire to learn and continue learning in a rapidly evolving, frontier industry
Commitment to the Outcome - Ownership mentality; will hold themselves accountable to an extremely high standard of work
Love for the Craft - we are building a zero to one motion; this hire will bring a low ego attitude to the table with a genuine love for building a best-in-class talent acquisition motion
$15K relocation bonus (for moving to the Bay Area)
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As an Engagement Manager, you will own key customer relationships across application-layer companies, research labs, and enterprise clients, serving as the primary point of contact from evaluation through delivery. You’ll partner closely with technical and business stakeholders to guide training and deployment, resolve issues, and ensure a high-quality customer experience.
You’ll work cross-functionally with product, operations, and engineering to manage timelines, support execution, and surface insights that drive account growth. This role also plays a key part in expanding revenue—leading commercial processes for new and existing customers and helping leadership identify and unblock growth opportunities in a fast-moving AI environment.
Job Description
Manage and grow a portfolio of relationships across application-layer companies, research labs, and enterprise customers
Serve as the primary point of contact for customer questions, issues, and escalations; triage internally and drive resolution.
Lead commercial processes to close net-new and existing business
Manage technical relationships with research teams and help guide evaluation and training strategy
Work cross-functionally with product, operations, and engineering to track delivery and timelines
Forecast revenue growth and help leadership understand how to unblock additional growth opportunities
Ideally you’d have:
4+ years of total work experience, with experience in consulting or as a technical program management role in industry
Technical BS/MS (or equivalent practical experience) and comfort working with ML/engineering stakeholders
Experience in a top-tier Consulting Firm and fast-growth technology startup
A proven track record in enterprise client facing roles and expanding customer relationships
Excellent verbal and written communications
Ability to understand the ML training and evaluation lifecycle and build trusted relationships with technical customers.
Great cross-functional experience and collaborative ability
Competitive salary w/ aggressive bi-annual performance bonus structure + meaningful equity (aligned with a venture-backed, rapidly scaling AI company)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry/housekeeping reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
Up to $15k Relocation bonus
$10K proximity bonus (if you live within 0.5 miles of our office)
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Program Manager for Quality Team, you will devise cross-functional quality processes through developing automated, technical solutions and managing an operational team of quality control specialists who evaluate our human data deliverables before they are sent to our customers. The ideal candidate is a scrappy, data-first, and results-driven leader with a track record of excellence.
Responsibilities:
Own quality programs for designated accounts or projects in various human data domains.
Own outcomes end to end for quality programs on projects: from initial brainstorming and operational execution to final, detailed delivery of audit results and quality insights.
Develop technical solutions to auto-evaluate quality of our datasets and proactively root-cause issues. Actively identify opportunities for automation and technical simplification — leveraging LLMs, databases, and scripting where applicable.
Devise systems to evaluate auditor and human data talent performance, ensuring adherence to quality standards and identifying process improvement opportunities.
Report on quality through regular monitoring and maintenance of quality performance metrics and KPIs.
Develop, update, and regularly present leadership-facing reports to inform company operations and strategy on human data deliveries. Work cross-functionally across engineering, account operations, and other stakeholders to execute on delivering SLAs for high-priority projects.
Help hire and maintain a 30+ auditor workforce for quality control; coach and develop specialists in the auditor pool to achieve high-impact outcomes that drive quality in our customer engagements
Ideal requirements:
3+ years of experience owning high-impact technical and operational outcomes
A strong bias for being results-driven, and experience being entrepreneurial/scrappy: building systems from scratch, including technical and operational solutions, and working under pressure in high-urgency environments
Strong communication skills across leadership, strategic project leads, cross-functional stakeholders, and our auditor workforce
Ability to develop scalable solutions to difficult operational problems — which often require going close to the ground on projects in order to root-cause.
Robust project management experience, including the ability to manage a distributed team through ruthless prioritization and a high-urgency mindset.
A data-first approach to problem-solving, with demonstrated qualitative and quantitative analytical ability
Bonus:
STEM background
Experience with LLMs, databases, and scripting
Experience developing and growing a 30+ distributed workforce
Professional experience at a high-growth startup or fast-paced tech environment
Base cash comp from $120K-$200k
Aggressive bi-annual performance bonus structure
Generous equity grant vested over 4 years
$15K relocation bonus (for moving to the Bay Area)
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
Mercor is building benchmarks and evaluation systems that help measure and improve frontier AI models. As a Research Program Manager, you will play a central role in coordinating the development, release, and communication of these benchmarks. You’ll work across research, operations, and marketing to ensure evaluations are executed rigorously, results are shared with the broader AI community, and new benchmarks launch smoothly. This is a hands-on role that requires strong attention to detail, high-intensity problem-solving, and a passion for building scalable processes that support cutting-edge AI research.
Core Responsibilities
As a research program manager, you will:
Coordinate the release of new benchmarks
Maintain and update Mercor’s leaderboards and website
Submit results to leaderboards, competitions and community pages (e.g., Hugging Face)
Run and monitor new evals
Support with marketing for benchmarks and evals, including new blogs and socials
Develop the messaging for new benchmark releases
Coordinate delivery of eval reports
Build relationships in the AI evals + data ecosystem
What We’re Looking For
Experience: Background in consulting, tech, project management or research support, ideally 2-3 years of professional experience.
Skills: Strong analytical and communication abilities; proven track record of managing complex projects.
Mindset: Excited by “gritty” process optimization and large-scale execution.
Compensation
Base cash comp from $120K-$200k
Competitive equity grant
$15K relocation bonus (for moving to the Bay Area)
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Free Equinox membership
Health, Dental, Vision insurance401(k) with company match
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As an Enterprise AI Lead, you will work directly with our VP of Enterprise AI to build and scale Mercor's enterprise business. This is a senior, high-ownership role that sits at the intersection of commercial and operational work, designed for someone who moves fast, communicates well, and has a genuine interest in what AI can do for large organizations.
Responsibilities
Own relationships with enterprise customers from initial engagement through renewal and expansion
Build and execute on commercial strategy, including pipeline development, proposals, and negotiations
Lead cross-functional initiatives across sales, product, and operations
Drive internal planning and operating cadence for the Enterprise team
Develop and deliver materials for executive-level audiences, including readouts, business cases, and strategic analyses
Identify and pursue new business opportunities in partnership with the VP of Enterprise AI
Requirements
3 or more years of experience in a client-facing role, such as management consulting, enterprise sales, private equity, or a GTM or operations role at a technology company
Strong written and verbal communication skills with experience presenting to senior stakeholders
Demonstrated ability to manage complex workstreams independently and deliver results
Genuine curiosity about AI and how it is reshaping enterprise organizations
High agency and comfort operating in a fast-moving, ambiguous environment
Nice to Haves
Experience in strategy consulting at a top-tier firm, particularly in technology sectors
Prior exposure to enterprise AI or SaaS commercial motions
Background in venture capital or private equity with client-facing responsibilities
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor builds the datasets that frontier AI labs train on. Doing this well requires solving difficult, often undefined problems in data quality, measurement, and large-scale execution.
You will own deliveries end to end—from turning customer requirements into an execution plan to resolving technical and operational issues, validating quality, and delivering on time. You will work across operations, commercial, engineering, research, and customers, often under tight deadlines and with incomplete information.
What we’re looking for
Exceptional attention to detail and a high bar for quality
Strong quantitative judgment
The technical ability to write queries and scripts, investigate issues independently, and understand complex data pipelines; a computer science background is preferred
The ability to coordinate people with different priorities and drive work to completion
Clear, concise communication with technical teams, business teams, and customers
Benefits
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As a Software Engineer on the Automations team at Mercor, you’ll join a small, high-leverage engineering group building the autonomous systems that run Mercor’s internal operations — and eventually, operations at scale for the companies we serve.
This is not a research role. You’ll design and ship production agents that take real actions: scheduling interventions, executing operational playbooks, managing talent pipelines, and surfacing decisions that previously required hours of manual click-ops. From day one, you’ll own systems end-to-end — from MCP server design to evaluation frameworks — working directly with operators and platform engineers to turn repeatable human workflows into reliable, autonomous ones.
You’ll reason about correctness, rollback, observability, and trust in systems that touch payments, contracts, and people’s livelihoods. This is greenfield agentic infrastructure with immediate real-world impact.
What You’ll Do
Build and maintain MCP servers that give agents structured access to Mercor’s platform reading project state, taking management actions, and triggering communications.
Design and implement evaluation frameworks to measure agent decision quality and drive continuous improvement through feedback loops.
Develop action queues and playbook orchestration systems that allow agents to execute multi-step workflows with conditional logic.
Instrument agent systems end-to-end — capturing outcomes, closing feedback loops, and enabling hill-climbing on eval metrics.
Collaborate directly with operators to identify high-leverage automation opportunities and translate them into robust agent behaviors.
Debug and harden agent systems in production, designing for reliability at scale.
Contribute to foundational patterns and infrastructure that the rest of the company will build on.
What We’re Looking For
Strong backend engineering fundamentals in Python (or equivalent modern language).
Experience building with LLM APIs — including tool use, structured outputs, and multi-step reasoning workflows.
Comfort designing evaluation frameworks and thinking rigorously about agent failure modes.
Ability to ship quickly and iterate on systems that interact with the real world.
Understanding of distributed systems, APIs, and production infrastructure.
Full-stack experience is a plus — owning features end-to-end will increase your impact.
Why Mercor
Impact: Your work powers how the world’s leading AI labs train and test their models.
Learning: Get early insights into frontier model capabilities months before the market.
Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Payments is the core infrastructure of our marketplace, not a back-office function. As our AI systems scale to evaluate, place, and compensate millions of workers across geographies, we are investing in making our financial systems deterministic, observable, and resilient because the models that route talent are only as good as the infrastructure that pays them. In a matter of months, we've gone from moving hundreds of thousands of dollars to hundreds of millions across our platform: what used to work at $200K won't work at $200M.
The mission of the Payments group at Mercor is to be the financial and commercial backbone of the company.
We ensure that:
Money moves deterministically and reliably at scale
Failures are surfaced proactively, not reactively
Ledger, payout, and settlement systems are observable end-to-end
Root causes are fixed, not patched
Automation replaces manual intervention wherever possible
We operate at the intersection of Engineering, Finance, Product, Ops, and Fraud. Our mandate is to transform payments from manual orchestration into resilient financial infrastructure.
This role exists to help build the financial backbone that supports the next 1000x. We are looking for a senior engineer to help harden and scale Mercor’s payments platform.
You will work on:
Flow-level observability across payout → settlement → reconciliation
Reliability engineering for distributed payment systems
Instrumentation and monitoring of financial primitives (ledger, payout orchestration, settlement ingestion)
Automation to eliminate manual treasury and payout workflows
Root-cause driven system redesign
This role requires someone who understands that payments infrastructure is both a technical and financial system, where correctness matters as much as uptime.
We’ve grown from ~$200K in payment volume to ~$200M in a short window. The systems weren’t designed for this scale, and that’s exactly why this role matters. If you like building planes mid-flight, this will feel familiar. We are no longer building “payment features.” We are designing sustainable financial infrastructure for a rocketship. If that sounds energizing, keep reading.
You’ll be working at the core of Mercor, scaling the core systems used by thousands of experts working on the frontier of AI.
That means:
Automating payout orchestration (no more human-triggered scripts)
Building a real operational ledger (immutable, auditable, boringly correct)
Designing settlement ingestion + reconciliation pipelines
Improving observability across payout → processor → bank flows
Eliminating recurring payment bugs at the root cause
Reducing manual treasury overhead
Abstracting processor dependencies so we’re not locked in
If you want to join a rocket ship and build the systems that let it keep accelerating, this is that role.
We are seeking engineers who embody an operational mindset and system-level thinking, prioritizing reliability, correctness, and automation.
Experience & Domain Expertise: 6+ years in building scalable backend systems, with a strong preference for experience in high-stakes domains such as payments, fintech, billing, or financial infrastructure.
Must Haves:
Backend Expertise: 3+ years of industry experience in backend/platform engineering (or equivalent), including ownership of production systems.
Payment Infrastructure Expertise: Demonstrated ability to integrate with and manage third-party payment gateways (e.g., Stripe, Adyen) and/or direct banking APIs.
Compliance and Security: Understanding of financial regulations, including adherence to PCI-DSS, and the secure handling and encryption of sensitive banking and customer data.
Technical Proficiency: 3+ years of professional experience building around:
transactional databases like MySQL or PostgreSQL
compiled languages like Go, Rust, or C++
Experience with message queues or streaming platforms (e.g., RabbitMQ, SQS, Kafka).
distributed systems frameworks like temporal, k8s, etc..
Operational Excellence: Proven ability to manage and operate production systems under significant load. This includes balancing the velocity of development with maximum reliability, evidenced by a commitment to detailed observability and sophisticated payment agents.
Mindset: Comfortable working with high intensity in fast-growing, ambiguous environments. Thinks in terms of systems and strategic solutions, not just individual tickets.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the role
As Healthcare Data Partnerships Lead, you'll build and own Mercor's data partnerships engine in healthcare from the ground up. An integral part of our strategy is partnering with health systems, payers, EHR vendors, and other organizations that hold large, high-quality healthcare datasets to access new kinds of data at scale.
You'll identify, reach out to, and close partnerships with a wide range of organizations, then manage those relationships long-term. You'll create the playbooks, build the pipeline, and define how we measure success. This is a high-ownership role for someone who has done healthcare data partnerships before.
What you'll do
Identify and prioritize potential data partners: health systems, payers, EHR vendors, life sciences companies, and other organizations with large, structured healthcare datasets
Own the full partnership cycle, outbound prospecting, pitch development, deal negotiation, and close
Structure and negotiate data licensing and data sharing agreements, including pricing, access terms, compliance requirements, and usage rights
Build repeatable processes, playbooks, and metrics for the partnerships function from scratch
Manage ongoing partner relationships to expand scope, renew agreements, and maintain trust over time
Work cross-functionally with product, engineering, and legal to ensure smooth data integration and regulatory compliance (HIPAA, de-identification, FHIR/HL7)
Represent Mercor at digital health conferences and industry forums to build brand and relationships in the HLS ecosystem
Segment the healthcare market across provider, payer, BioPharma, and medical devices — and develop differentiated partnership strategies for each
What we're looking for
3–7 years in partnerships, BD, or enterprise sales with exposure to the healthcare or health tech ecosystem
Track record of sourcing and closing complex healthcare deals, ideally in a role where you built something from scratch or operated with significant autonomy
Existing relationships in the provider, payer, or BioPharma data ecosystem
Familiarity with data licensing, IP deal structures, or de-identification frameworks is a must
Deep understanding of the healthcare data landscape: EHR vendors, data standards (FHIR, HL7), HIPAA compliance, and data governance considerations
Strong executive presence, you're comfortable building relationships with C-suite stakeholders at large health systems and institutional buyers
Highly self-directed; comfortable with ambiguity and moving fast in a startup environment
Strong communicator, you'll be the face of Mercor to external partners
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.
About the Role
Frontier AI companies are increasingly bottlenecked on expert judgment and high-quality data workflows. This team builds the production systems that capture, coordinate, and validate that work at scale — directly between a customer request and the output that ships.
These are long-running, stateful systems. A single job can stay live for days, interleaving automated steps, model inference, and expert review. A step marked \"done\" can be reopened, re-reviewed, and redone — so \"completed\" is not always final, state has to tolerate late mutation, and correctness has to survive humans and models disagreeing with each other.
This is a backend systems and orchestration problem: distributed state machines, not pipelines. The architecture is not set. Early engineers will decide what it becomes, and the loop between \"I shipped this\" and \"this mattered\" is short.
What You'll Do
Design services and state models for multi-stage workflows that fan out across automated processing and expert reviewers, then reconcile results into a coherent whole
Build orchestration primitives — retries, failure recovery, idempotency, auditable state transitions — for jobs that run far longer than a request and can be partially redone after the fact
Integrate model inference into production workflows without sacrificing debuggability or human oversight
Build the APIs and tooling that let product, operations, and ML teams operate, debug, and trust these systems at scale
Own reliability and observability for workflows where a silent failure means a corrupted result, not just a 500
What Makes This Role Different
You are building the core infrastructure that sits directly between customer requests and the outputs that ship — not internal tooling, not a support system
This product area is young and strategically central; early engineers are deciding the architecture, not inheriting it
The inputs are non-deterministic by nature — you are building durable orchestration over humans and models that can disagree with each other on hour 40 of a multi-stage job
Day-to-Day
Moving fast on genuinely hard systems problems — ambiguity is the default, not the exception
Working closely with product, operations, and ML teams to translate a tangle of constraints into clean system design
Debugging complex stateful workflows where the failure surface spans automated steps, model calls, and human reviewers
Owning your systems end-to-end: design, ship, operate, improve
What We're Looking For
Production backend experience with strong opinions about what ages well and why
Sharp instincts for system design, service boundaries, and where to put complexity — and where to refuse it
Fluency with the distributed systems toolkit: async workflows, queues, idempotency, retries, and long-running jobs as practice, not resume line items
Ability to take ambiguous product, operational, and ML constraints and turn them into a system that is clean and debuggable
Comfort working in Python on AWS with Postgres; experience with Temporal or similar workflow engines is a plus
You're likely someone who:
Gets frustrated by systems that are hard to debug and takes that personally enough to fix it
Has strong opinions about where state should live and can defend them in a design review
Moves fast but doesn't treat reliability as someone else's problem
Wants your work to have a short, visible line to outcomes that actually matter to customers
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
We're building the infrastructure that powers one of the world's largest expert networks and delivers expert data at unprecedented scale. We're looking for exceptional engineering leaders to help us protect the integrity of that ecosystem — building the fraud, risk, and compliance systems that make a global expert marketplace trustworthy at scale.
We value builders who have repeatedly chosen difficult problems, thrived in environments with high expectations, and can point to concrete examples where their leadership materially changed the trajectory of a team, product, or company.
Why This Role
We're still early.
Fraud is one of Mercor's most important business challenges. Every day, we process enormous volumes of applications, assessments, identity verifications, and work activity across a global talent network. Protecting that ecosystem requires sophisticated systems that can identify fraudulent behavior, evaluate risk, and make accurate decisions at scale — and the playbooks for doing it on an AI-native expert marketplace don't yet exist.
Fraud is an adversarial problem. The solutions that work today may not work six months from now. You'll lead engineering efforts focused on:
Fraud detection and platform integrity — identity verification, abuse prevention, risk scoring, and the LLM-powered decision engines and evaluation pipelines that catch fraudulent behavior as attackers adapt
Compliance and operational infrastructure — the reliability, scalability, and core foundations that allow Mercor to operate globally and meet the obligations of working with the world's leading AI organizations
You'll be responsible for building systems that sit at the center of the AI ecosystem and protect the trust that makes expert knowledge usable at scale.
What You'll Do
Lead and grow a high-performing team of engineers responsible for fraud detection, identity verification, abuse prevention, and platform integrity
Define and execute Mercor's fraud and compliance engineering roadmap in partnership with product, operations, and company leadership
Build systems that generate fraud signals, evaluate risk, make automated decisions, and continuously improve through human review and feedback loops
Drive the development of AI-powered detection systems, including LLM-based decision engines, scoring models, and review workflows
Establish rigorous evaluation frameworks to measure detection performance, confidence calibration, false positive/negative tradeoffs, and business impact
Recruit exceptional engineers and raise the talent bar across the organization
Partner closely with product, operations, and company leadership
Drive engineering excellence, velocity, and operational rigor in an adversarial, fast-moving domain
Basic Qualifications
Educational Requirements: Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics or Statistics
5+ years of backend software engineering experience building and operating production systems at scale
3+ years of engineering management experience leading high-performing software engineering teams
Experience leading teams through periods of significant scale, ambiguity, or rapid change, with clear examples of the impact you've personally driven
Nice-to Have Qualifications
2+ years delivering infrastructure for fraud, trust & safety, risk, identity, payments, abuse prevention, or other adversarial domains
2+ years working with machine learning, AI systems, decision engines, or risk-scoring platforms
Benefits
Generous equity, vested over 4 years
Up to $15K relocation bonus
$10K housing bonus (if you live within 0.5 miles of the office)
$1,500/month meals stipend
Free Equinox membership
$200/month laundry reimbursement
$200/month personal wellness reimbursement
Health, Dental, and Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor is bringing on our first dedicated Revenue Operations hire to build the foundation of our billing and operational infrastructure. You'll own the end-to-end revenue operations workflow and build scalable, sustainable systems that drive Mercor’s rapid growth. This is a high-impact, foundational role: you won't just be running existing systems, you'll be designing them from scratch. You'll work at the intersection of Finance, Operations, and Engineering, with direct exposure to how our business scales. If you like building order out of ambiguity and want to see your work directly tied to company growth, this is the role.
You’ll also lead collaborative work across multiple members of the team and cross functional partners from operations and engineering who are responsible for day-to-day support of all of GenAI revenue and billing.
Customer Reporting & Analysis: Oversee the accurate tracking of all customer-facing work. Build and maintain dashboards and reports that give leadership clear visibility into revenue health, billing trends, and operational metrics.
Revenue Reconciliation: Leverage strong analytical skills and AI tools to Investigate and resolve revenue discrepancies by reconciling large datasets across billing systems, CRM, and internal tooling. Identify root causes and implement fixes, not just band-aids.
Build Scalable Systems and Processes: Design scalable processes from the ground up. Identify manual bottlenecks, scope automation opportunities, and collaborate with Engineering to build tooling that reduces manual operations.
Data Management: Maintain clean, reliable revenue data. Build and enforce data hygiene practices across the systems that touch revenue (CRM, billing platforms, internal databases).
Cross-Functional Collaboration: Partner closely with Finance, Operations, and Engineering to ensure alignment on billing logic, contract terms, and reporting. Serve as the connective tissue between teams on anything revenue-related.
Customer Procurement & Billing: Work with customers to manage contracts and purchase orders for future work. Own the invoicing process across our customer base, ensuring accuracy, timeliness, and clear communication with customers and internal stakeholders.
4-10 years of experience in revenue operations, finance operations, accounting, or an analytically rigorous role at a tech company, startup, or professional services firm.
Strong SQL skills; you should be comfortable writing queries to investigate data issues and pull your own reporting.
Experience working with billing or invoicing systems, CRM platforms, and spreadsheets at scale, especially at high-growth companies.
A detail-oriented, systems-thinking mindset. You notice when numbers don't add up and you don't let it go.
Deep understanding of invoicing processes, monthly close processes, etc.
Comfort operating in ambiguity.
A degree ideally in a quantitative or analytical field (e.g., finance, economics, computer science, accounting, math).
Can-do attitude!
Experience at a high-growth startup or in a role where you built rev ops processes from scratch.
Familiarity with billing models in the human data space.
Competitive salary + meaningful equity (aligned with a venture-backed, rapidly scaling AI company)
Medical, dental, and vision coverage
401(k)
Monthly meal and wellness stipends
Excellent in-office culture
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
We’re hiring Engineering Managers to lead teams within our Applied AI organization.
Applied AI builds systems that directly improve model quality, including evaluation infrastructure, annotation products, and emerging multimodal capabilities. You’ll lead a team of engineers, partner with product and research, and help define how Mercor stays at the frontier of AI.
You will also build partnerships with leading AI labs and directly contribute to improving the quality of frontier models through data, evaluation, and systems.
This role requires high ownership and abstraction: setting direction, driving outcomes, and staying hands-on while leading.
Manage and grow a team of 6–10 engineers
Coach and develop high-potential engineers
Establish strong ownership, culture, and execution standards
Shape the team: define hiring processes, establish engineering practices, and scale a high-performing team from the ground up
Drive insights and methodology behind evaluation systems that benchmark and improve model performance
Lead development while driving improvements in data quality, operational efficiency, system stability, and scalability
Scale products that generate high-quality training data and improve human-in-the-loop workflows
Lead system design for complex AI systems
Stay close to the technical work and guide engineers through ambiguous problems
Translate high-level AI goals into clear engineering roadmaps and execution plans
Partner with product, research, operations, and external AI labs
Work across systems, data insights, and custom partnerships to drive model quality
Introduce lightweight processes as the organization scales
Hire and develop strong engineering talent
Help define engineering management at Mercor
Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics or Statistics
6–10 years in engineering; 2–3+ years managing teams
Strong background in building scalable systems
Ability to lead in ambiguous environments with sound technical judgment
Proven ability to coach engineers and drive execution
Strong ownership mindset with pragmatic decision-making
Who Thrives Here
We’re looking for engineering leaders who take ownership in ambiguous environments, make pragmatic decisions, and consistently deliver measurable impact.
Build high-performing, well-supported teams
Hire and retain strong engineers
Improve team velocity and execution quality
Contribute to systems that measurably improve model performance
San Francisco (preferred) or New York
Relocation assistance will be provided as needed
Direct impact on frontier AI development
Build partnerships with leading AI labs and shape how frontier models improve
High ownership across team, systems, and hiring
Opportunity to shape a rapidly scaling organization
Work at the intersection of engineering, product, data, and AI
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Software Engineer on Applied AI, you’ll build, deploy, and operate systems that sit directly between frontier AI research and data delivery.
This is a high-ownership, deeply technical role. You’ll work through ill-defined problems, prototype quickly with researchers and customers, and take systems from early experiments to reliable, scalable production. You’ll own projects end-to-end: spanning requirements gathering, creating data creation pipelines, and improving model-adjacent infrastructure, while partnering closely with frontier AI labs and Mercor’s internal teams to ship high-impact applied AI solutions.
Partner closely with frontier AI labs to understand their data, post-training, and evaluation needs
Build and operate scalable data pipelines for post-training workflows and model evaluations
Design and build scalable systems for synthetic data generation and data quality, and work directly with customers to understand requirements and develop technical solutions
Prototype new data types, benchmarks, and evaluation frameworks
Lead technical discussions with customers
Direct frontier exposure. You’ll work closely with researchers at leading AI labs, building infrastructure that directly accelerates cutting-edge research.
Coding + customer work. This role blends deep technical execution with customer interaction. Engineers who enjoy both building and communicating tend to thrive.
Fast-moving, high-ownership environment
Technically demanding, collaborative work
“Building the plane while flying it”
In-person culture (SF, 181 Fremont)
Aligned with frontier research timelines
Strong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.)
Experience with model training and inference
Strong grounding in statistical analysis and experimental design for measuring model performance and improvements
Familiarity with evaluation methods for large language models
Comfort working through ambiguity and shipping iteratively
Enjoys ownership and customer-facing problem solving
Thinks entrepreneurially and moves quickly
Balances speed with engineering rigor
Communicates clearly with technical and non-technical users
Direct exposure to frontier AI research
Real ownership and visible impact
Technical depth paired with human interaction
Fast feedback loops and high leverage
There are very few roles that combine this level of technical rigor, customer proximity, and research exposure.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K proximity bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
You'll own cloud and infrastructure security at a company where tenant isolation is a critical enterprise requirement. Mercor's customers - including frontier AI labs - need hard guarantees that their data stays within strict boundaries. This is not a compliance checkbox role. You'll architect multi-account AWS isolation, harden Kubernetes clusters, deploy cloud security posture management, and build the infrastructure that lets Mercor serve enterprise clients who demand the highest security bar.
We use AI heavily in our own security work. You should be comfortable building alongside AI code-gen tools, using LLMs to accelerate infrastructure review and policy authoring, and automating away the repetitive work that slows infrastructure security down. If you'd rather write a Terraform module than fill out a spreadsheet, you'll fit in here.
We're in-person five days a week at our SF headquarters, with first Fridays remote.
Multi-account AWS tenant isolation architecture - dedicated accounts, SCPs, network boundaries, and data segregation for enterprise clients
Cloud security posture management using Wiz CSPM - continuous monitoring, misconfiguration detection, and automated remediation
Kubernetes security hardening - pod security standards, network policies, secrets management, and runtime protection
Infrastructure-as-code security guardrails - Terraform/CloudFormation policies that prevent insecure deployments before they reach production
IAM architecture and least-privilege access controls across AWS, Snowflake, and internal services
Incident response infrastructure - logging pipelines, forensic readiness, and blast radius containment
Deep AWS security expertise - you've architected multi-account strategies, written SCPs, and hardened production environments
Experience with Kubernetes security in production - not just tutorials, you've secured real clusters running real workloads
Strong infrastructure-as-code skills - Terraform, CloudFormation, or Pulumi - you think in code, not console clicks
Experience with CSPM/CNAPP platforms (Wiz, Prisma Cloud, or similar) - deploying, tuning, and driving remediation
Understanding of network security at the cloud level - VPCs, security groups, transit gateways, PrivateLink
You've designed tenant isolation for multi-tenant SaaS - data segregation, compute isolation, network boundaries
5+ years of professional experience in cloud security, infrastructure security, or platform/SRE engineering with a strong security focus
Experience with Snowflake security - schema-level isolation, access controls, data sharing governance
Familiarity with container runtime security (Falco, SentinelOne Cloud Workload Protection, or similar)
Offensive cloud security skills - you've exploited misconfigurations and understand the attacker's perspective
Experience building compliance-ready infrastructure (SOC 2, ISO 27001, FedRAMP)
You've handled cloud security incidents - forensics, containment, and root cause analysis in AWS
Contributions to open source infrastructure security tools
The deliverable is concrete. Enterprise clients require tenant isolation as a baseline. You'll build infrastructure that directly enables the business.
AI-native infrastructure security. You'll use frontier AI tools daily - for policy authoring, misconfiguration analysis, and anything that benefits from an AI co-pilot.
Ownership from day one. You'll own the entire cloud security domain - from AWS architecture to Kubernetes hardening to CSPM operations.
See the future early. Working alongside AI labs means you'll understand frontier model capabilities months before the market.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
You’ll be the operational backbone behind Mercor’s engineering hiring engine. You will partner directly with at lease one technical recruiter to jointly own a portfolio of requisitions from initial intake through offer and onboarding.
In this role, your recruiter partner owns candidate execution and closing; you own the infrastructure, systems, candidate experience, analytics, and process rigor that make high-velocity hiring possible. Together, you operate as a strategic pair responsible for quality, speed, and continuous improvement across your reqs.
Our team works 6 days per week (5 days in-office in SF).
Drive scheduling and coordination across screens, take-homes, onsites, debriefs, and offers.
Ensure interview loops are structured, calibrated, and frictionless for both candidates and interviewers.
Maintain pristine ATS hygiene and candidate tracking across every stage.
Proactively identify bottlenecks and unblock processes before they escalate.
Collaborate closely with a dedicated technical recruiter to co-own a set of requisitions.
Participate in intake discussions, funnel diagnostics, and prioritization decisions.
Ensure alignment between sourcing volume, interview capacity, and hiring goals.
Serve as the operational counterweight to recruiter execution.
Design and implement lifecycle improvements across screening, onsite structure, feedback loops, and offer workflows.
Run pilots on new interview formats, tooling, automation, or candidate experience upgrades.
Standardize documentation, templates, rubrics, and workflows.
Build scalable systems that reduce interviewer load while increasing signal quality.
Monitor conversion rates across stages and identify drop-offs.
Analyze scheduling velocity, interviewer bandwidth, and pipeline health.
Surface insights to hiring managers and leadership.
Maintain dashboards and structured reporting for hiring syncs.
Ensure high-touch, thoughtful communication at every stage.
Anticipate logistical friction and resolve it before candidates feel it.
Maintain a consistent, premium experience for senior technical candidates.
Support post-offer touchpoints and onboarding warm-up logistics as needed.
Work closely with Engineering, interviewers, and leadership to maintain alignment on hiring goals.
Help run hiring syncs, retros, and process audits.
Coordinate across recruiters to ensure consistency across roles and teams.
1-4 years of experience in recruiting coordination, recruiting operations, talent ops, or high-volume scheduling roles.
Exceptional organizational rigor and attention to detail.
Strong systems thinker; you naturally see inefficiencies and redesign them.
Comfort managing multiple fast-moving requisitions simultaneously.
Analytical mindset with the ability to interpret funnel data and identify improvement opportunities.
Clear, professional written and verbal communication.
Experience working closely with recruiters or hiring managers in a high-growth environment.
High ownership mentality; you operate as if the hiring outcomes are yours.
Bonus:
Experience supporting engineering or technical hiring.
Familiarity with ATS systems and automation tools.
Experience running process experiments or pilots.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.
About the Role
As a Backend Engineer at Mercor, you will build core platform systems that make our operations secure, reliable, and scalable. This role focuses on two critical areas: Contracts and Identity & Access.
Contracts: Build the backend infrastructure that enables flexible ways for our network of Experts to perform work and get paid. This work expands our product capabilities and supports the development of higher-quality foundational models.
Identity & Access: Design and maintain systems that provision and deprovision access just-in-time, ensuring Experts can securely perform a wide range of tasks across the platform.
You’ll work on foundational systems that sit at the heart of Mercor’s platform, requiring strong ownership, sound architectural judgment, and a focus on security and reliability.
This role is a strong fit for a generalist backend engineer who enjoys building core systems end-to-end. Experience with identity systems or enterprise access management is a strong plus.
You will:
Develop robust infrastructure for platform operations, including systems that support complex contract-related workflows, payouts, fraud, and more.
Work closely with engineering leads and cross-functional partners to translate operational needs into reliable, scalable backend services.
Improve security, reliability, and developer ergonomics across the systems that underpin Mercor's platform.
Contribute to a fast-moving engineering organization where strong backend engineers may flex across teams and high-priority platform initiatives.
What We're Looking For
2+ years experience building building production systems at scale.
Experience with identity, access control, or enterprise access management systems is a strong plus.
Ability to work across ambiguous requirements and deliver practical, reliable systems quickly.
High ownership mindset and willingness to work on foundational problems that support many parts of the business.
Why Mercor
Impact: Your work will strengthen the core systems that power Mercor's platform and enable secure, scalable operations.
Breadth: You'll work on foundational backend problems with exposure to identity, security, internal tooling, and platform infrastructure.
Growth: You'll join a fast-moving team with significant ownership and room to expand into increasingly critical technical challenges.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
We are building the definitive talent infrastructure for top-tier enterprises. As an Enterprise Account Executive, you will own the full sales cycle for Fortune 100 accounts, selling our AI-powered talent solutions and agentic recruiting offerings to the largest and most sophisticated buyers in the market. You will work with Talent Acquisition Directors, Contingent Workforce Program Leaders, Procurement VPs, and C-suite executives to displace incumbent staffing vendors and establish us as their strategic workforce partner.
What You Will Do
Own and drive new business for Mercor. Find your way to the right people at prospective customers, educate them about AI-powered recruiting solutions, and help them succeed. You'll own the full sales cycle, from first call to close
Build and run a high-velocity outbound motion with daily activities across cold call, email, LinkedIn and strategic networking
Lead complex, multi-stakeholder sales cycles involving TA, Procurement, Legal, IT, and business unit leaders
Develop tailored proposals including markup structures, SLA frameworks, compliance models, and MSA terms
Navigate RFP/RFI processes and vendor consolidation decisions
Partner with Delivery to ensure seamless onboarding of new enterprise accounts
Become a trusted advisor to clients on workforce strategy, contingent talent structures, market trends, and talent intelligence
What You Bring
7-12+ years of quota-carrying sales experience across tech sales or staffing, RPO, MSP, or contingent workforce solutions
Documented history of closing $5M-$10M+ ACV deals with Fortune 500 accounts
Bias toward speed: default urgency in everything
Exceptional executive presence and consultative selling ability
Deep understanding of VMS platforms (SAP Fieldglass, Beeline, Coupa), MSP models, and workforce compliance is a plus
Existing relationships with senior TA, HR, and Procurement leaders at target accounts
Bachelor's degree required; MBA or relevant certifications (CCWP, SIA) a plus
Compensation & Benefits:
Competitive salary and commission earning potential + meaningful equity
Medical, dental, and vision coverage
401(k)
Monthly meal stipend
Excellent in-office culture
Compensation
OTE: $250,000 - $350,000
Offers commission
Offers Equity
Currently only hiring in San Francisco
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
We are building the definitive talent infrastructure for top-tier enterprises. As our Mid-Market Account Executive, you will own the sales cycle for companies with 1,000-5,000 employees, selling our AI-powered talent solutions and agentic recruiting offerings. These are fast-moving deals with VP-level decision makers who need talent solutions that are both high-quality and fast. You will be a one-person revenue engine: building pipeline, running discovery, presenting solutions, negotiating terms, and ensuring successful account launches.
What You Will Do
Own and drive new business for Mercor. Find your way to the right people at prospective customers, educate them about AI-powered recruiting solutions, and help them succeed. You'll own the full sales cycle, from first call to close
Build and run a high-velocity outbound motion with daily activities across cold call, email, LinkedIn and strategic networking
Conduct discovery calls, solution presentations, and commercial negotiations with stakeholders across TA, Procurement, Legal, IT, and business unit leaders
Build repeatable playbooks for mid-market segments and verticals
Develop tailored proposals including markup structures, SLA frameworks, compliance models, and MSA terms
Partner with Delivery to ensure seamless onboarding of new enterprise accounts
Become a trusted advisor to clients on workforce strategy, contingent talent structures, market trends, and talent intelligence
What You Bring
5-8 years of quota-carrying sales experience across tech sales or staffing, RPO, MSP, or contingent workforce solutions
Consistent track record of meeting or exceeding quota (top 20% performer)
Experience selling to VP-level buyers, existing relationships with senior TA, HR, and Procurement leaders is a plus
Bias toward speed: default urgency in everything
Strong outbound prospecting skills and pipeline generation discipline
Exceptional executive presence and consultative selling ability
Bachelor's degree required; MBA or relevant certifications (CCWP, SIA) a plus
Compensation & Benefits:
Competitive salary and commission earning potential + meaningful equity
Medical, dental, and vision coverage
401(k)
Monthly meal stipend
Excellent in-office culture
Compensation
OTE: $200,000 - $280,000
Offers commission
Offers Equity
Currently only hiring in San Francisco
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Technical Recruiter at Mercor, you’ll own full-cycle hiring across critical technical functions, partnering directly with the VP of Engineering, CTO, and engineering leadership. You’ll play a foundational role in shaping our engineering organization as we scale one of the fastest-growing companies in the world.
Own full-cycle recruiting (sourcing → close) across software, machine learning, infrastructure, and leadership roles.
Partner directly with VP of Engineering, CTO, and Engineering Managers to define headcount plans, hiring bar, and process improvements.
Build top-of-funnel using creative outbound, talent intelligence, and Mercor’s own product (structured screens, automated work samples, and calibrated rubrics).
Design assessments that predict on-the-job performance and improve signal quality.
Coach hiring managers on structured interviewing, leveling, and decision hygiene.
Operationalize hiring systems: track and optimize key funnel metrics (pass-through rates, time-in-stage, source yield).
Champion speed and quality: drive SLAs for same-day debriefs, fast offers, and strong candidate experience.
Build brand: campaigns, referrals, and events that attract top engineers and operators.
Represent Mercor externally, you’ll be a face of the brand for top technical candidates.
Collaborate on dashboards, metrics, and process automation within Ashby and other recruiting systems.
Experience with full-cycle recruiting across IC and leadership roles.
Deep familiarity with technical roles: SWE, MLE, Applied AI, Security, Infrastructure, and TLM.
Proven ability to build and scale hiring systems, identify key metrics, and make data-driven decisions.
Strong communication skills; able to work efficiently with the VP of Engineering, CTO, engineering leadership, and cross-functional teams.
Confident representing the Mercor brand to top candidates.
Familiarity with Ashby or ability to quickly adopt new tools and systems.
Experience as a founding technical recruiter or early-stage startup builder.
Interest in the human data / AGI space.
Technical degree or professional experience in engineering.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As a Software Engineer, Applied AI on Mercor's Enterprise team, you'll operate at the intersection of engineering, product, and customer success. Engineers on this team are builders first, embedding directly with enterprise clients to design and implement technical solutions that unlock the full value of Mercor's platform while applying strong systems and product thinking where it matters. The work spans everything from architecting integrations and writing production-grade code to deploying scalable solutions in production environments, always tied closely to measurable business outcomes. You'll collaborate with customer stakeholders and internal teams to deliver systems that directly shape how AI-powered human intelligence integrates into complex enterprises.
You will:
Embed with enterprise customers to understand technical requirements and business goals.
Architect and implement custom integrations, APIs, and workflows on top of Mercor’s platform.
Deploy scalable solutions in client environments and drive successful launches and expansions.
Build internal tools and reusable components that accelerate future deployments.
Translate ambiguous enterprise needs into clear technical plans and shipped systems.
What We’re Looking For
Computer Science background or a degree in a related field (Electronics Engineering, Physics, Mathematics, Statistics, etc.)
Strong software engineering fundamentals in at least one modern language (Python, Go, Rust, etc.).
Experience building and deploying production systems in cloud environments (AWS/GCP/Azure).
Comfort working directly with customers and explaining technical concepts to non-technical stakeholders.
High ownership mindset with the ability to navigate ambiguity and operate autonomously in high-stakes environments.
Why Mercor
Impact: Your work defines how leading enterprises deploy AI-powered human intelligence systems.
Learning: Gain deep exposure to real-world applications of AI across industries and use cases.
Growth: Work across engineering and product with fast paths to ownership.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor’s mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can’t be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million per day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced, and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems redefining society.
Mercor is a profitable Series C company valued at $10 billion. We work in person five days a week from our San Francisco, New York, and London offices.
Mercor is seeking a Business Development Representative to join our Partnerships team. This team is responsible for identifying and securing access to high-value datasets and proprietary information that power frontier AI systems. You’ll be responsible for building pipeline, generating opportunities, and opening doors with enterprises that own valuable data assets.
This is a highly outbound role. You’ll spend your time identifying target accounts, researching industries, crafting outreach strategies, and engaging decision makers across mid-market and enterprise organizations.
The ideal candidate is a relentless hunter who enjoys building pipeline from scratch, thrives on rejection, and is motivated by creating opportunities where none previously existed.
Identify and prospect companies with valuable proprietary data assets
Build and manage outbound campaigns across email, phone, LinkedIn, and other channels
Generate qualified meetings for the Partnerships team
Develop account strategies for target organizations and industries
Maintain a healthy pipeline of opportunities across multiple verticals
Conduct high-volume outbound outreach to senior decision makers
Craft personalized messaging that drives engagement and responses
Navigate complex organizations to identify key stakeholders
Qualify opportunities and advance them through the sales process
Consistently exceed activity and pipeline targets
Research emerging industries, companies, and data-rich organizations
Identify new acquisition opportunities and market trends
Gather competitive intelligence and share insights with the broader team
Continuously test and refine outreach strategies
Partner closely with Partnerships Leads to transition qualified opportunities
Collaborate with Operations, Product, and Research teams as needed
Contribute to playbooks, processes, and tooling as the function scales
3+ years of experience in Business Development, SDR, BDR, Sales Development, Account Executive, or similar outbound sales roles
Demonstrated success prospecting into mid-market and enterprise organizations
Proven track record of consistently achieving or exceeding quota
Experience managing complex outbound sales motions
Exceptional written and verbal communication skills
Strong commercial instincts and business judgment
Highly competitive and results-oriented
Comfortable with ambiguity and fast-changing priorities
Persistent, resilient, and energized by challenging outreach environments
Strong organizational and pipeline management skills
Experience selling technical products or services
Experience with data products, SaaS, AI, developer tools, cloud infrastructure, or enterprise software
Familiarity with technical stakeholders including engineering, data, product, or IT teams
Experience selling into large enterprises
Startup or high-growth company experience
Consistently generating qualified opportunities for the Partnerships team
Building a repeatable pipeline generation engine across target industries
Opening relationships with strategic enterprise accounts
Creating leverage for the broader team through disciplined outbound execution
Becoming a trusted first point of contact for prospective partners
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K proximity bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As an Enterprise AI Associate, you'll work at the intersection of customer engagement, product management, and go-to-market operations — helping Mercor's largest enterprise customers successfully deploy and scale AI solutions. This role is built for someone with a structured, analytical mindset who thrives on high agency, moving quickly, and taking ownership of ambiguous problem statements.
You'll be embedded in active customer engagements, working alongside senior Enterprise leads in conversations with senior stakeholders about their top organizational AI priorities and pain points, and translating those needs into engagement delivery. You will play a critical part in shaping our offerings by supporting our go-to-market motion, brand positioning, and relaying customer feedback to engineering.
What You'll Do
Support the end-to-end delivery of enterprise AI engagements - scoping workstreams, tracking milestones, and coordinating across internal and client-side stakeholders
Join client meetings to document AI pain points, synthesize top organizational priorities, and identify specific workflows where Mercor can drive value
Translate qualitative client feedback and edge cases into structured execution plans, working directly with engineering teams to shape new AI agent capabilities
Step into ambiguous problem spaces - scope unowned internal initiatives, define clear goals, and drive projects forward when there is no established playbook
Refine go-to-market messaging and sales collateral - converting real-world customer interactions into updated pitch decks, company blurbs, and brand positioning
Contribute to internal process improvements - building playbooks, templates, and frameworks that make the team more effective at scale
Stay current on trends in frontier AI, enterprise AI deployment, and data operations to bring an informed perspective to client conversations
What We're Looking For
1–3 years of experience in management consulting, operations, strategy, product management, or a similarly structured analytical environment
Strong ability to break down complex problems, structure work plans, and communicate findings clearly to diverse audiences
Excellent operational instincts - you track details without losing sight of the bigger picture
Comfortable navigating ambiguity and proposing solutions when there's no clear playbook
Genuine intellectual curiosity about AI - you don't need to be an engineer, but you should want to understand how these systems work and why they matter
Collaborative by nature, with the ability to build trust quickly with both clients and internal teammates
Bonus: prior exposure to AI, data operations, or technology-adjacent work
How You Work
High-agency operator: you proactively insert yourself into undefined challenges
Structured thinker: you approach messy problems with frameworks and clear hypotheses
Strong communicator: you write and speak with precision, adjusting your style for technical and non-technical audiences
Delivery-oriented: you take ownership of workstreams and see them through to completion
Curious and adaptable: you learn quickly and bring energy to new domains
Nice to Haves
Experience in strategy consulting at a top-tier firm, particularly in technology sectors
Prior exposure to enterprise AI or SaaS commercial motions
Background in venture capital or private equity with client-facing responsibilities
Compensation and Benefits
Competitive salary and bonus earning potential + meaningful equity (aligned with a venture-backed, rapidly scaling AI company)
Medical, dental, and vision coverage
401(k)
Monthly meal stipend
Excellent in-office culture
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Own the design of core user journeys across the product, from initial flows to polished UI
Collaborate with engineering and product to implement new features and refine existing ones
Bring clarity to complex user experiences as our product evolves and scales
Create and maintain a clean, modern visual language inspired by tools like Notion and powered by elements like Tailwind
Work closely with our Head of Design to articulate and evolve Mercor’s design philosophy & culture
Help tutorialize the product experience — ensuring that users know what to do without needing to be told
Strong portfolio that demonstrates both visual polish and UX depth
Passion for building products that are intuitive, beautiful, and a joy to use
4+ years in product design, ideally at fast-moving startups or high-bar product teams
Proven ability to operate autonomously
Bonus: Experience building AI-driven products or marketplaces
At Mercor, we recognize that exceptional ability comes in all forms, a core philosophy on which we built our platform. Because of this, we welcome candidates from diverse backgrounds with unique experiences and transferable skill sets, even if they don’t meet all the preferred qualifications listed above.
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
You'll be the first GRC hire at a company that processes some of the most sensitive data on earth: training data, evals, and human-feedback pipelines for the frontier AI labs, plus payments and KYC for 300K+ experts.
This is not an audit-theater role. You'll own the operating cadence of a continuously-audited company: continuous SOC 2 monitoring, the active ISO 27001 buildout, an annual customer audit every quarter, and a sub-48-hour questionnaire SLA. You'll write controls in code where it makes sense, push back on tools that fight you, and own the artifacts that close enterprise deals.
We use AI heavily in our own GRC work. You should be comfortable using LLMs to draft, review, and respond at speed. If you've ever copy-pasted the same answer into 14 vendor questionnaires by hand, you'll appreciate not having to.
We're in-person five days a week at our SF headquarters, with first Fridays remote.
The Mercor compliance operating cadence: SOC 2 Type 2 (continuous), ISO 27001 (standing up now), and the next two frameworks customers ask for (HIPAA, FedRAMP Moderate, EU AI Act conformity - your call on sequencing)
A customer-audit machine that responds tocustomers
The third-party risk program - formal intake, recurring review cadence, evidence requirements - tied into procurement so vendors can't be onboarded around it
Policy lifecycle owned end-to-end: version, attestation, exception handling, review cycle - not a SharePoint graveyard
Controls-as-code where it makes sense: integrations, policy packs, rules tied to SOC 2 CC categories, automated evidence collection
Data-handling procedures: the customer-data-deletion gap, DSAR workflow, KMS scheduled destruction, offboarding handlers
The internal trust narrative: customer trust pages, security one-pagers, executive-ready disclosure templates when something goes sideways
7+ years in security GRC, compliance engineering, or audit, with at least 2 years owning a SOC 2 Type 2 program end-to-end at a company under audit by enterprise customers
You've shipped at least one ISO 27001 certification from kickoff to issued certificate, including Stage 1 and Stage 2 with a real registrar
Fluent in Vanta (or Drata, Secureframe, Sprinto) at the integration and admin level, not just the reviewer UI - you've configured connectors, written custom tests, debugged broken evidence
You translate cloud-security language to auditor language and back without losing precision - you can read a Wiz finding, a Panther rule, an IAM policy, and say what control it maps to
You write controls as code or query evidence with SQL when the platform falls short - Python, SQL, or shell, whatever it takes
You know the difference between \"we don't have a control for that\" and \"we have a compensating control\" and you don't fabricate the second one
Direct experience with the customer-trust surface: SIG, CAIQ, custom enterprise questionnaires, on-site auditor sessions, disclosure letters under legal review
Built or operated a GRC program inside an AI lab, ML platform, or company serving frontier labs as customers
Familiar with AI-specific frameworks: NIST AI RMF, EU AI Act conformity, ISO 42001
Experience with FedRAMP Moderate, HIPAA, PCI DSS, or SOC 2 + HITRUST dual scope
You've automated questionnaire response with an LLM and know where it works and where it fails
Prior experience standing up a third-party risk program from zero - vendor intake, recurring review, contract teeth
Written a public trust page that customers actually trust
Build the function, don't inherit it. This is the first GRC seat. You set the operating cadence, pick the tools (we're already on Vanta), define the rituals.
Compliance work that closes deals. Every audit you nail is a contract that signs. You'll see the revenue downstream of your work in the same week.
AI-native GRC. You'll use frontier models daily - evidence review, questionnaire drafting, control mapping - and have engineering support to build whatever tooling the off-the-shelf platforms won't.
Direct line to the auditor and the customer. No layers between you and the people who matter - the audit firm, the customer security team, our outside counsel. You own the relationship end-to-end.
A real security org behind you. TachTech (cloud), Latacora (MDR), Mandiant (IR), HackerOne (BB) are already running. You're not building the security program from scratch - you're putting the governance and assurance layer on top of one that already ships.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
We're hiring our first IT Operations Lead to own the reliability, security, and scalability of our identity, endpoint, and IT infrastructure systems. You'll partner directly with the Head of IT to transform reactive support into strategic, automated systems that prevent problems before they occur — balancing speed, security, and an exceptional user experience for technical teams building the future of AI.
You'll be based in our San Francisco or New York office, collaborating closely with Security, Engineering, and People Ops.
Handle day-to-day operations and incident response
Triage and resolve Tier 2/3 tickets with a focus on automation and improving response and resolution times
Manage and troubleshoot Apple devices at hyper-scale
Trace root causes across complex, multi-system failures (Rippling → Okta → Kandji → Google Workspace), identify patterns in recurring tickets, and propose automation or self-service solutions
Analyze downstream impacts before making changes; map dependencies and blast radius for SSO, MDM, and access-control changes
Build and maintain runbooks, troubleshooting guides, and knowledge base articles that elevate team capabilities
Lead small projects that address operational pain points (BYOD policies, international provisioning, compliance evidence collection)
Translate technical issues for non-technical stakeholders (People Ops, Finance, Legal) during incidents and changes
Mentor future IT team members on troubleshooting methodology and systems thinking
Participate in an on-call rotation and help establish sustainable escalation procedures as the team grows
5–7 years in IT Operations or Technical Support roles, ideally supporting technical teams (SaaS, cloud, AI/ML environments)
Systems thinker who naturally traces dependencies, considers second-order effects, and asks \"why did this break?\" not just \"how do I fix it?\"
Strong incident management skills: triage, root-cause analysis, blameless postmortems, pattern recognition
Understanding of compliance controls (access management, logging, change management)
Clear communicator who can explain technical issues to both engineers and non-technical stakeholders and write excellent documentation
Self-directed with a bias to action and strong judgment on when to escalate versus resolve independently
Solves problems others gave up on through creative, systematic troubleshooting
Thinks through second- and third-order effects before making changes
Documents solutions that help everyone, not just yourself
Builds trust through technical competence and calm, clear communication under pressure
Expert troubleshooting across the Apple ecosystem, including MDM (Kandji, Jamf, Intune)
Advanced Google Workspace and Okta administration (SAML/OIDC, lifecycle automation, SCIM provisioning)
Multi-cloud Support (AWS, Azure, GCP)
Network troubleshooting (DNS, VPNs, VLANs)
Scripting and automation (Python, Bash) and APIs for repetitive tasks and integrations, plus low-code automation tools (Okta Workflows, Zapier)
You'll spend most of your day handling tickets and incidents, but you won't just fix problems, you'll ask why they exist and work to prevent them. If you see the same issue three times, you'll write the runbook, propose the automation, or flag the upstream fix. As we scale, you'll hire and mentor the next IT Operations team members, shaping how we support a fast-growing AI company.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role:
Frontier AI companies are increasingly bottlenecked on expert judgment — capturing it reliably, validating it at scale, and turning it into durable model behavior. This role sits at the center of that problem.
You'll build the ML systems that power Mercor's Frontier Data Products: the infrastructure that scores, validates, and improves complex work products where correctness is rarely binary and labels are often noisy, delayed, or disputed. A single job can stay live for days, interleaving model inference, automated checks, expert review, disagreement resolution, and feedback loops. Your work determines how models reason over ambiguous inputs, when they should defer to humans, how quality is measured, and how feedback compounds into better systems over time.
This is applied ML product engineering under real production constraints — incomplete ground truth, shifting requirements, latency and cost tradeoffs, and workflows where a silent model failure corrupts the final output. It is not an offline benchmarks role.
What You'll Do
• Build ML systems that score, validate, and improve complex work products where correctness is nuanced and labels are imperfect.
• Design evaluation frameworks for ambiguous tasks where ground truth is partial, delayed, or disputed.
• Build feedback loops that turn review, disagreement, correction, and adjudication into measurable model and system improvements.
• Own production ML behavior end-to-end: precision/recall tradeoffs, regression detection, drift, latency, cost, and explainability.
• Improve model quality using the right tool for the job — prompting, fine-tuning, retrieval, active learning, heuristics, and error analysis.
• Partner with backend engineers to integrate inference into durable, long-running workflows without sacrificing debuggability or human oversight.
What Makes This Role Different
• The architecture is not set — early engineers will define how quality is measured, how models and humans interact, where automation is trusted, and how the system compounds over time.
• The feedback loop is short: shipping a model behavior change directly and visibly affects what customers receive.
• You're working on a strategically central product area at Mercor at a moment when frontier AI companies have no good solution to the problem you're solving.
Day-to-Day
• Moving fast on a young, high-ownership codebase where your decisions have long-term architectural weight.
• Operating across models, data, backend systems, and product surfaces — context switching is the default, not the exception.
• Debugging production ML failures in live, long-running workflows where silent errors matter.
• Working closely with backend engineers on a stack of Python, Temporal, Postgres, AWS, and LiteLLM.
• Balancing automation confidence with human review — knowing when to defer is as important as knowing when to ship.
What We're Looking For
• Track record of shipping ML systems that improved a real product, workflow, or business metric.
• Strong instincts for model quality, evaluation design, error analysis, and production failure modes.
• Comfort operating in ambiguous problem spaces where labels are imperfect and correctness evolves.
• Sound judgment about when to reach for prompting, fine-tuning, heuristics, retrieval, human review, or a simpler product constraint.
• Solid engineering fundamentals across the full ML stack — not just modeling.
• Familiarity with LLM applications, model-assisted workflows, evaluation frameworks, or human-in-the-loop ML is a strong plus.
You're likely someone who:
• Defaults to simple, inspectable ML systems that improve quickly and fail in understandable ways — not the most impressive architecture.
• Gets uncomfortable when a model ships without a clear evaluation story.
• Can hold ambiguity without paralysis and make reasonable bets with incomplete information.
• Cares about the real-world output of the system, not just the benchmark.
Benefits
• Bi-annual performance bonus structure.
• Generous equity grant vested over 4 years.
• Up to $15k Relocation bonus.
• $10K housing bonus (if you live within 0.5 miles of our office).
• $1.5K monthly stipend for meals.
• Free Equinox membership.
• $200 monthly laundry reimbursement.
• $200 monthly personal wellness reimbursement.
• Health, Dental, Vision insurance.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\nAbout the Role:\n\nFrontier AI companies are increasingly bottlenecked on expert judgment — capturing it reliably, validating it at scale, and turning it into durable model behavior. This role sits at the center of that problem.\n\nYou'll build the ML systems that power Mercor's Frontier Data Products: the infrastructure that scores, validates, and improves complex work products where correctness is rarely binary and labels are often noisy, delayed, or disputed. A single job can stay live for days, interleaving model inference, automated checks, expert review, disagreement resolution, and feedback loops. Your work determines how models reason over ambiguous inputs, when they should defer to humans, how quality is measured, and how feedback compounds into better systems over time.\n\nThis is applied ML product engineering under real production constraints — incomplete ground truth, shifting requirements, latency and cost tradeoffs, and workflows where a silent model failure corrupts the final output. It is not an offline benchmarks role.\n\n\n\nWhat You'll Do\n\n• Build ML systems that score, validate, and improve complex work products where correctness is nuanced and labels are imperfect.\n\n• Design evaluation frameworks for ambiguous tasks where ground truth is partial, delayed, or disputed.\n\n• Build feedback loops that turn review, disagreement, correction, and adjudication into measurable model and system improvements.\n\n• Own production ML behavior end-to-end: precision/recall tradeoffs, regression detection, drift, latency, cost, and explainability.\n\n• Improve model quality using the right tool for the job — prompting, fine-tuning, retrieval, active learning, heuristics, and error analysis.\n\n• Partner with backend engineers to integrate inference into durable, long-running workflows without sacrificing debuggability or human oversight.\n\nWhat Makes This Role Different\n\n• The architecture is not set — early engineers will define how quality is measured, how models and humans interact, where automation is trusted, and how the system compounds over time.\n\n• The feedback loop is short: shipping a model behavior change directly and visibly affects what customers receive.\n\n• You're working on a strategically central product area at Mercor at a moment when frontier AI companies have no good solution to the problem you're solving.\n\n\n\nDay-to-Day\n\n• Moving fast on a young, high-ownership codebase where your decisions have long-term architectural weight.\n\n• Operating across models, data, backend systems, and product surfaces — context switching is the default, not the exception.\n\n• Debugging production ML failures in live, long-running workflows where silent errors matter.\n\n• Working closely with backend engineers on a stack of Python, Temporal, Postgres, AWS, and LiteLLM.\n\n• Balancing automation confidence with human review — knowing when to defer is as important as knowing when to ship.\n\nWhat We're Looking For\n\n• Track record of shipping ML systems that improved a real product, workflow, or business metric.\n\n• Strong instincts for model quality, evaluation design, error analysis, and production failure modes.\n\n• Comfort operating in ambiguous problem spaces where labels are imperfect and correctness evolves.\n\n• Sound judgment about when to reach for prompting, fine-tuning, heuristics, retrieval, human review, or a simpler product constraint.\n\n• Solid engineering fundamentals across the full ML stack — not just modeling.\n\n• Familiarity with LLM applications, model-assisted workflows, evaluation frameworks, or human-in-the-loop ML is a strong plus.\n\nYou're likely someone who:\n\n• Defaults to simple, inspectable ML systems that improve quickly and fail in understandable ways — not the most impressive architecture.\n\n• Gets uncomfortable when a model ships without a clear evaluation story.\n\n• Can hold ambiguity without paralysis and make reasonable bets with incomplete information.\n\n• Cares about the real-world output of the system, not just the benchmark.\n\n\n\nBenefits\n\n• Bi-annual performance bonus structure.\n\n• Generous equity grant vested over 4 years.\n\n• Up to $15k Relocation bonus.\n\n• $10K housing bonus (if you live within 0.5 miles of our office).\n\n• $1.5K monthly stipend for meals.\n\n• Free Equinox membership.\n\n• $200 monthly laundry reimbursement.\n\n• $200 monthly personal wellness reimbursement.\n\n• Health, Dental, Vision insurance."},{"id":"88e8c31f-8197-4948-8d8c-ff3ceee367ce","title":"Enterprise AI Lead","department":"Enterprise Agents","team":"Enterprise Agents","employmentType":"FullTime","location":"New York City","secondaryLocations":[],"publishedAt":"2026-05-26T19:48:35.763+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/88e8c31f-8197-4948-8d8c-ff3ceee367ce","applyUrl":"https://jobs.ashbyhq.com/mercor/88e8c31f-8197-4948-8d8c-ff3ceee367ce/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As an Enterprise AI Lead, you will work directly with our VP of Enterprise AI to build and scale Mercor's enterprise business. This is a senior, high-ownership role that sits at the intersection of commercial and operational work, designed for someone who moves fast, communicates well, and has a genuine interest in what AI can do for large organizations.
Responsibilities
Own relationships with enterprise customers from initial engagement through renewal and expansion
Build and execute on commercial strategy, including pipeline development, proposals, and negotiations
Lead cross-functional initiatives across sales, product, and operations
Drive internal planning and operating cadence for the Enterprise team
Develop and deliver materials for executive-level audiences, including readouts, business cases, and strategic analyses
Identify and pursue new business opportunities in partnership with the VP of Enterprise AI
Requirements
3 or more years of experience in a client-facing role, such as management consulting, enterprise sales, private equity, or a GTM or operations role at a technology company
Strong written and verbal communication skills with experience presenting to senior stakeholders
Demonstrated ability to manage complex workstreams independently and deliver results
Genuine curiosity about AI and how it is reshaping enterprise organizations
High agency and comfort operating in a fast-moving, ambiguous environment
Nice to Haves
Experience in strategy consulting at a top-tier firm, particularly in technology sectors
Prior exposure to enterprise AI or SaaS commercial motions
Background in venture capital or private equity with client-facing responsibilities
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Studio is one of Mercor's highest-priority initiatives. It is the internal platform that powers every workflow our teams use to generate, manage, quality-review, and deliver data to the world's leading AI labs — and its quality directly shapes the frontier models that billions of people interact with.
As a Product Engineer on the Studio Platform team, you'll own the Studio user journeys end-to-end: the React frontend used daily by thousands of expert contributors and internal Strategic Project Leads, and the backend services powering data pipelines and delivery of outputs to customers. You'll also build and maintain the foundational layer that Mercor depends on to rapidly deploy new data types and task formats across the company. Four distinct stakeholders — AI labs, SPLs, expert contributors, and engineers— rely on what you build.
This is a role for someone who cares equally about engineering craft and product impact: shipping scalable, reliable systems and intuitive interfaces that make everyone who touches Studio faster and more effective.
Own the Studio platform across the full stack — from contributor-facing and operator-facing React interfaces to the backend APIs and pipelines driving data ingestion, QA review, and AI lab delivery.
Lead engineering best practices across the team, setting the bar for frontend architecture, component design, and performance, and establishing patterns that others can build on reliably.
Build the foundational layer that other teams depend on to support new data types, task formats, and customer configurations quickly and without rework.
Ship high-leverage product features that improve throughput and quality across our core data generation and delivery pipelines.
Translate ambiguous requirements into well-scoped technical solutions through close collaboration with Applied AI researchers, product, design, and operations.
5+ years of fullstack engineering experience building and shipping production software.
Deep proficiency in JavaScript/TypeScript (React + Next.js) and a strong grasp of frontend architecture, state management, and design patterns.
Solid backend experience in Python and/or Node.js — experience designing and building relational databases, REST APIs, and async task infrastructure.
Strong design sense and empathy for end-users; you hold a high bar for usability.
Experience with complex, high-throughput systems — pipelines, large data volumes, or multi-tenant architectures.
High ownership mindset; able to navigate ambiguity and drive projects from design through delivery.
Strong communication skills and ability to articulate technical and product tradeoffs clearly.
Experience building tooling for data labeling, annotation, or human-in-the-loop AI workflows.
Background in design systems, developer-facing APIs, or internal platform engineering.
Exposure to AI tools, LLM-powered products, or real-time data and visualization.
Experience at top-tier tech companies or fast-scaling startups.
Every improvement to Studio impacts the quality and speed of data delivered to leading AI labs.
The systems you build will be used daily by thousands of experts and operators.
You'll help define how new evaluation environments, RL tasks, and data products are created at Mercor.
Your work directly influences the training and evaluation of frontier AI models
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K proximity bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Growth Associate, you’ll connect leading AI companies with the specialized experts they need—from engineers to medical professionals—to train and evaluate cutting-edge models. Your work will directly drive millions in revenue and shape the future of AI.
Source & Recruit Experts: Use platforms like LinkedIn Recruiter and Sales Navigator to find, vet, and recruit top professionals across multiple industries.
Scale Sourcing Channels: Discover and experiment with new sourcing channels to expand reach and attract diverse talent.
Build Relationships: Engage and maintain strong connections with experts to ensure long-term collaboration.
Manage Talent Pipelines: Oversee multiple recruiting and sourcing pipelines to deliver qualified experts at scale.
Collaborate Across Teams: Partner with Project Managers, Product, and Engineering to improve sourcing workflows and deliver high-quality results.
Drive Growth: Your recruiting and sourcing efforts will be a core driver of Mercor’s rapid expansion.
1-2 years of prior experience in lead generation, outbound sales, or recruiting
Strong familiarity with LinkedIn Recruiter / Sales Navigator and other sourcing tools
Comfortable driving high conversion rates and managing funnels effectively
Excellent communication and relationship-building skills.
A track record of thriving in fast-paced, results-driven environments (startups, consulting, finance, or similar).
A motivated, goal-oriented mindset with the resilience to meet ambitious targets.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K proximity bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Growth Associate, you’ll connect leading AI companies with the specialized experts they need—from engineers to medical professionals—to train and evaluate cutting-edge models. Your work will directly drive millions in revenue and shape the future of AI. Our team works 6 days per week (5 days in-office in London).
Source & Recruit Experts: Use platforms like LinkedIn Recruiter and Sales Navigator to find, vet, and recruit top professionals across multiple industries.
Scale Sourcing Channels: Discover and experiment with new sourcing channels to expand reach and attract diverse talent.
Build Relationships: Engage and maintain strong connections with experts to ensure long-term collaboration.
Manage Talent Pipelines: Oversee multiple recruiting and sourcing pipelines to deliver qualified experts at scale.
Collaborate Across Teams: Partner with Project Managers, Product, and Engineering to improve sourcing workflows and deliver high-quality results.
Drive Growth: Your recruiting and sourcing efforts will be a core driver of Mercor’s rapid expansion.
1-2 years of prior experience in lead generation, outbound sales, or recruiting
Strong familiarity with LinkedIn Recruiter / Sales Navigator and other sourcing tools
Comfortable driving high conversion rates and managing funnels effectively
Excellent communication and relationship-building skills.
A track record of thriving in fast-paced, results-driven environments (startups, consulting, finance, or similar).
A motivated, goal-oriented mindset with the resilience to meet ambitious targets.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Silicon Valley’s leading AI companies partner with Mercor to scale high-quality data operations. As an SPL, you will:
Drive the tactical execution of multi-million-dollar projects.
Build deep client relationships with researchers at top AI labs.
Orchestrate the work of 1,000+ contributors.
Ensure flawless operational execution under demanding timelines.
This is a hands-on operations role for candidates excited by process optimization, rapid iteration, and high-intensity problem solving. We're an early-stage startup that operates with intensity. That means being responsive on weekends and always holding a high bar for output. The upside — performance incentives, career trajectory, and meaningful equity — reflects that.
Design and manage end-to-end data pipelines, from customer specifications to final delivery.
Diagnose bottlenecks, restructure workflows, and implement solutions that improve quality, throughput, and cost-efficiency.
Examples include: creating incentive systems, re-sequencing workflows, refining instructions, and scaling review processes.
Act as the primary point of contact for leading AI labs.
Deliver clear, consistent reporting and proactively anticipate client needs.
Build long-term trust and identify opportunities for expansion.
Manage 1,000+ distributed contributors in Slack-based workspaces.
Source, vet, train, and performance-manage domain experts.
Maintain high execution standards across all stages of production.
Run daily internal syncs (“war rooms”) to stay ahead of issues.
Provide regular, transparent progress updates to customers.
Experience: Background in consulting, finance, startups, or other operationally intense environments.
Skills: Strong analytical and communication abilities; proven track record of managing complex projects.
Customer-Facing Experience: Comfortable working directly with high-profile clients.
Mindset: Excited by “gritty” process optimization and large-scale execution.
SPLs generate $10M+ in project revenue annually.
In-office Mon–Fri
Customer requests are high-pressure and time-sensitive (e.g., onboarding 1,000 contributors in 3 days, delivering 10+ hours of quality data per contributor within 48 hours).
The role is explicitly operations-focused—not strategy, product, or GTM.
SPLs begin as individual contributors, running projects end-to-end.
High performers may advance to Senior SPL (SSPL) roles, managing multiple projects and teams of SPLs.
Base cash comp from £89,500 to £111,900 for SPL, £111,900 – £149,200 for SSPL
Aggressive bi-annual performance bonus structure
Generous equity grant vested over 4 years
£8K proximity bonus (if you live within 0.5 miles of our office)
£1.2K monthly stipend for meals
Free Gym membership
£160 monthly laundry reimbursement
£160 monthly personal wellness reimbursement
Private medical, dental insurance
Income protection, group life assurance, and critical illness cover
Pension with company match
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\n\nABOUT THE ROLE\n\nSilicon Valley’s leading AI companies partner with Mercor to scale high-quality data operations. As an SPL, you will:\n\n - Drive the tactical execution of multi-million-dollar projects.\n\n - Build deep client relationships with researchers at top AI labs.\n\n - Orchestrate the work of 1,000+ contributors.\n\n - Ensure flawless operational execution under demanding timelines.\n\nThis is a hands-on operations role for candidates excited by process optimization, rapid iteration, and high-intensity problem solving. We're an early-stage startup that operates with intensity. That means being responsive on weekends and always holding a high bar for output. The upside — performance incentives, career trajectory, and meaningful equity — reflects that.\n\n\n\n\nCORE RESPONSIBILITIES\n\n\n\n\nOPERATIONAL EXCELLENCE\n\n - Design and manage end-to-end data pipelines, from customer specifications to final delivery.\n\n - Diagnose bottlenecks, restructure workflows, and implement solutions that improve quality, throughput, and cost-efficiency.\n\n - Examples include: creating incentive systems, re-sequencing workflows, refining instructions, and scaling review processes.\n\n\n\n\nCUSTOMER RELATIONSHIPS\n\n - Act as the primary point of contact for leading AI labs.\n\n - Deliver clear, consistent reporting and proactively anticipate client needs.\n\n - Build long-term trust and identify opportunities for expansion.\n\n\n\n\nLARGE-SCALE COORDINATION\n\n - Manage 1,000+ distributed contributors in Slack-based workspaces.\n\n - Source, vet, train, and performance-manage domain experts.\n\n - Maintain high execution standards across all stages of production.\n\n\n\n\nQUALITY REPORTING\n\n - Run daily internal syncs (“war rooms”) to stay ahead of issues.\n\n - Provide regular, transparent progress updates to customers.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - Experience: Background in consulting, finance, startups, or other operationally intense environments.\n\n - Skills: Strong analytical and communication abilities; proven track record of managing complex projects.\n\n - Customer-Facing Experience: Comfortable working directly with high-profile clients.\n\n - Mindset: Excited by “gritty” process optimization and large-scale execution.\n\n\n\n\nKEY FACTS\n\n - SPLs generate $10M+ in project revenue annually.\n\n - In-office Mon–Fri\n\n - Customer requests are high-pressure and time-sensitive (e.g., onboarding 1,000 contributors in 3 days, delivering 10+ hours of quality data per contributor within 48 hours).\n\n - The role is explicitly operations-focused—not strategy, product, or GTM.\n\n\n\n\nGROWTH PATH\n\n - SPLs begin as individual contributors, running projects end-to-end.\n\n - High performers may advance to Senior SPL (SSPL) roles, managing multiple projects and teams of SPLs.\n\n\n\n\nCOMPENSATION\n\n - Base cash comp from £89,500 to £111,900 for SPL, £111,900 – £149,200 for SSPL\n\n - Aggressive bi-annual performance bonus structure\n\n - Generous equity grant vested over 4 years\n\n - £8K proximity bonus (if you live within 0.5 miles of our office)\n\n - £1.2K monthly stipend for meals\n\n - Free Gym membership\n\n - £160 monthly laundry reimbursement\n\n - £160 monthly personal wellness reimbursement\n\n - Private medical, dental insurance\n\n - Income protection, group life assurance, and critical illness cover\n\n - Pension with company match\n \n \n\nWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request."},{"id":"a778f283-d596-4fa9-a81e-93161eb5399c","title":"Software Engineer, Identity","department":"Engineering","team":"Core Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-01T21:23:40.199+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/a778f283-d596-4fa9-a81e-93161eb5399c","applyUrl":"https://jobs.ashbyhq.com/mercor/a778f283-d596-4fa9-a81e-93161eb5399c/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
We build systems that make billions of authorization decisions a week for hundreds of thousands of users, most of them contractors and experts rather than employees. A typical company's IdP models a few thousand employees. Ours models a global expert network where membership turns over constantly, every client engagement needs its own isolation boundary, and a wrong permission can expose a frontier lab's data.
The team is small, led by one of Mercor's earliest engineers, and operates with a high degree of ownership. There's no spec handed to you: you own the product scope and direction, with the team weighing in on prioritization and technical detail.
IAM-Service is our authorization service for first-party surfaces. It sits in the hot path of every request across our own products, backed by SpiceDB, an open-source implementation of Google's Zanzibar. We model access as relationships rather than roles (ReBAC instead of RBAC), which is what lets us answer \"can this person see this channel, in this workspace, on this project?\" consistently and fast. Every millisecond here is felt across the platform.
Audiences is our rule engine for identity orchestration across third-party services. You declare who should have access to what; Audiences resolves that into concrete grants, pushes them into twenty downstream providers (Slack, Google Workspace, GitHub, and the rest), and keeps them reconciled as membership changes underneath. It turns \"this expert joined this project\" into working access everywhere within minutes, and \"this contract ended\" into revocation everywhere.
One Slack workspace per client project. It's provisioned automatically on Slack Enterprise Grid, and experts join as multi-channel guests scoped only to the channels their work requires, so a project brief in the morning can be a staffed workspace by the afternoon, and no expert carries information across client boundaries. More than 2,000 workspaces, over 85,000 active Okta accounts, one administrator. Slack wrote up how it works: How Mercor Coordinates a Global AI Workforce With Slack.
First-party authentication on WorkOS. Sign-in, session handling, and directory data for our own products move onto WorkOS, so they have one owner instead of being handled in several places. The interesting part is the migration: no flag day, no single moment where everything switches. People are logging in the whole time, so the existing paths keep serving traffic while the new one runs alongside them.
Moving GitHub to Enterprise Managed Users. EMU makes our IdP the source of truth for GitHub accounts: identities are provisioned, deprovisioned, and auditable the same way they are everywhere else we govern, and removing someone from the directory removes their GitHub access. The hard part is the cutover: mapping existing accounts to the identities we govern, and keeping a live engineering org and a large external contributor population pushing code the whole way through.
Data-loss prevention across thousands of workspaces. Each client engagement carries its own confidentiality terms, so there is no single ruleset. There are thousands of overlapping ones, scoped per grid, per workspace, per project, and those are created and torn down automatically. The hard part is distributing and evaluating policy at that scale: getting the right rules onto every new workspace, channel, and DM as it appears, re-scoping when a project changes shape, and enforcing consistently without slowing communication down. Audiences decides who gets into a workspace; the same rule engine has to decide what can be said inside it.
Keep a billion-plus weekly permission checks correct and fast. Own the hot path: the SpiceDB schema, the relationship graph, and the caching, denormalization, and consistency tradeoffs that decide whether authorization is invisible or the reason a page is slow
Model authorization in SpiceDB. Design the definitions, relations, and permissions expressing how experts, employees, workspaces, channels, projects, and client engagements relate, and evolve that schema without breaking live checks
Extend the Audiences rule engine. Add providers, express new access rules, and make the fan-out reliable enough that operations trusts it without a human checking
Scale the downstream providers themselves (Slack Enterprise Grid, GitHub, Google Workspace, DLP and monitoring), including the bulk operations, quota engineering, and reconciliation that none of them make easy
Own provisioning fan-out end to end, with reconciliation that catches drift rather than trusting that every write succeeded
Close the gap between HR truth and system truth. Joiner/mover/leaver is driven by upstream systems that lag real org change. Build lifecycle automation that degrades safely when the source of truth is wrong or late, because at our scale it will be
Extend identity to non-human principals. Agents and services increasingly need first-class identities, scoped credentials, and auditable authorization: the same rigor as human access, with none of the same assumptions
Talk directly with ops teams to understand business requirements, then translate them into large-scale distributed systems designed with security in mind from the start
Design for the security implications of what you're building. Not auditing after the fact, but thinking through how gaps in system design compound at scale
Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics, Computer Engineering, Information Systems or Statistics
2–5 years in engineering
Strong product engineering fundamentals. You've built and operated systems in production, you care about correctness and reliability, and you're comfortable owning scope without a lot of hand-holding
Large-scale distributed systems experience. This is the most identifiable signal on a resume and a strong filter; the problems here are genuinely unprecedented in scale
Comfort with data modeling under consistency constraints. You've reasoned about stale reads, cache invalidation, and eventual consistency in a system where being wrong has real consequences
Experience pushing third-party platforms past their intended limits. Rate limits, quotas, bulk APIs, and the reconciliation you build when a vendor's guarantees run out
Security-minded thinking. Not a formal background necessarily, but the instinct to ask \"how does this break, and what are the consequences?\" when designing a system
Adaptability. We don't want someone who will come in and replicate what they've done before; Mercor's landscape is unique and requires genuine intellectual flexibility
None of these are prerequisites. We hire strong product engineers into this team and teach the domain. But any will accelerate you:
Direct experience with SpiceDB, Zanzibar, OpenFGA, Ory Keto, or an in-house ReBAC/policy engine (Cedar, OPA, Oso)
Having built or operated SCIM provisioning, SSO integrations (SAML, OIDC/OAuth 2.0), or an internal IdP integration layer
Operating Slack Enterprise Grid, Google Workspace, or GitHub Enterprise at multi-tenant scale, or across hundreds of thousands of live access grants
DLP, data governance, or insider-risk tooling deployed across a large and largely external population
Work on workload or machine identity: SPIFFE/SPIRE, short-lived credentials, service-to-service authz
Having migrated an org onto a managed identity provider, or replaced a role-based permission system with a relationship-based one, and lived through it
Generous equity, vested over 4 years
Up to $15K relocation bonus
$10K housing bonus (if you live within 0.5 miles of the office)
$1,500/month meals stipend
Free Equinox membership
$200/month laundry reimbursement
$200/month personal wellness reimbursement
Health, Dental, and Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Machine Learning Engineer on the Marketplace team, you will build the models and decision systems that power Mercor's hiring engine. This includes search and ranking, candidate-job matching, marketplace recommendations, personalization, and allocation decisions across a rapidly growing talent network.
This is an applied ML role with direct product and revenue impact. You will work on problems shaped by real marketplace constraints: sparse and delayed labels, cold start, noisy feedback, heterogeneous supply and demand, and the need to optimize across speed, quality, and conversion simultaneously.
Ranking and matching systems that determine which candidates and opportunities are surfaced
Models for recommendation, personalization, and marketplace optimization
Retrieval, scoring, and decision pipelines operating at global scale
Feedback loops that learn from downstream hiring outcomes, not just top-of-funnel engagement
Real-time and batch inference systems embedded in product-critical workflows
Improve candidate-job matching using embeddings, structured attributes, and behavioral signals
Optimize ranking toward long-term hiring outcomes under delayed and incomplete labels
Design models that balance marketplace objectives such as fill rate, quality, speed, and conversion
Build systems for candidate allocation, opportunity routing, and liquidity optimization
Develop evaluation and experimentation frameworks that connect model performance to business results
Strong track record of shipping ML systems into production
Experience with ranking, recommendation, search, matching, or marketplace problems
Good judgment on model design, objective functions, evaluation, and tradeoffs
Comfort working across the full applied ML stack: data, features, training, inference, and iteration
Strong engineering fundamentals and a bias toward simple, robust systems
This role sits on a core decision layer of the product. Your work will directly shape how talent is discovered, matched, and hired, and will influence fundamental marketplace outcomes across quality, speed, and revenue.
Python, Go, embeddings, fine-tuning, RAG, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Software Engineer on the Marketplace team, you will own the core systems that bring human intelligence to AI opportunities You'll work on search, matching, allocation, and workflow infrastructure at the heart of the marketplace, where systems deliver the world’s top experts to staff our cutting edge projects.
The problems are technically demanding and tightly coupled to business outcomes: latency, reliability, throughput, and system quality all directly affect marketplace performance.
Backend services that power candidate-job matching, routing, and marketplace workflows
APIs and internal systems for search, eligibility, scoring, allocation, and fulfillment
Data models and system abstractions for a rapidly evolving labor marketplace
Infrastructure for real-time and asynchronous decisioning at high volume
Operational systems and tooling that keep product-critical workflows reliable, observable, and easy to evolve
• Build the systems that determine which candidates are eligible for which opportunities
• Design matching and allocation infrastructure that balance speed, quality, and fill rate
• Improve the performance and reliability of APIs serving marketplace decisions in real time
• Develop workflow engines for onboarding, vetting, routing, and placement
Design backend abstractions that let product and ML teams iterate quickly without degrading system quality
• Track record of building and operating reliable backend systems in production
• Strong judgment in system design, performance, reliability, and data modeling
• Comfort working on high-throughput APIs, distributed systems, and asynchronous workflows
• Ability to translate product and marketplace requirements into clean technical systems
• High engineering standards and a bias toward simple, durable abstractions
• Experience with search, recommendation, matching, scheduling, or marketplace systems
• Experience supporting ML-powered products or integrating model inference into production systems
• Familiarity with event-driven architecture, queues, caching, and observability tooling
This role sits on a core decision layer of the product. Your work will directly shape how the marketplace operates: which opportunities get filled, how quickly hiring happens, and how reliably the system scales as volume and complexity increase.
Python, Go, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Events are one of Mercor's highest-leverage surfaces: the rooms where we build relationships with frontier labs and enterprise customers, host our own conferences, reach the experts we recruit, and bring our team together. We're doing far more of them, and we need someone to own the motion.
You'll own Mercor's events end to end — part strategist, part operator. You set the strategy and the quality bar, then make it happen: deciding which events are worth our time, what format makes each one land, and who's in the room. A junior events and admin team is there to help you scale, not to run things for you.
The events strategy and annual calendar across four areas: enterprise and human-data GTM, customer/lab GTM, recruiting, and internal.
The creative point of view and quality bar for every event — the difference between a forgettable dinner and the room people clear their calendar for.
Our own conferences, plus Mercor's presence at the ones that matter (NeurIPS, ICML, and the like).
High-signal executive and customer programs: intimate dinners, partner roundtables, and gatherings timed to our biggest moments.
Recruiting events, from a university program to hackathons, that help us reach and win elite talent.
Internal events, from team moments up to company-wide offsites.
Hands-on execution: managing vendors, coordinating across marketing, recruiting, and workplace, and keeping every detail on track.
Follow-through with GTM and recruiting partners, so events produce relationships, pipeline, and talent — not just attendance.
Measurement and repeatable playbooks, so every program gets sharper over time.
6–8 years in events, field marketing, or experiential — ideally for technical, executive, or otherwise discerning audiences.
Deep expertise and conviction: strong, defensible opinions on what makes an event land, and the confidence to push back on stakeholders.
An entrepreneurial executor who finds the leverage and goes after it — not an order-taker. High energy, hands-on with vendors, details, and run-of-show.
A structured thinker who turns ambiguity into clear plans and presents them well across marketing, recruiting, and vendors.
Steady under ambiguity: you prefer a plan, but you don't stall without one.
Polished enough to represent Mercor to founders, lab leaders, and senior executives.
Events experience in AI, human data, or the Bay Area startup scene.
Design taste: you can shape an aesthetic, pick a menu, and give sharp feedback on vendor work.
A client-facing, outgoing presence — comfortable in the room, not just behind it.
A network in the AI ecosystem: labs, researchers, founders.
You've stood up an owned event or program from scratch.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role:
Mercor’s Data team is looking for a Project Manager to own the end-to-end execution of data initiatives, from intake and scoping through delivery and post-launch handoff. You’ll be the connective tissue across data engineering, analytics, and cross-functional stakeholders, ensuring every project is delivered on time, within budget, and at the level of quality our clients and internal teams expect.
What You’ll Do:
Own end-to-end project management for data initiatives, including intake and scoping, requirements gathering, readiness reviews, cross-functional approvals, and launch/post-launch handoff.
Take direct responsibility for the successful execution of projects, including meeting project goals, client/stakeholder service, quality of work, resource utilization, and profitability.
Lead, motivate, and build a strong team environment for project contributors, inspiring a shared vision, enabling others to act, and taking ownership of team outcomes.
Partner with team leads to vet, scope, and kick off assignments, and own all due dates and milestones.
Develop and maintain accurate project documentation, including timelines, budgets, and scoping documents.
Lead communications and change management across the project lifecycle, from kickoff briefings for stakeholders through end-user notifications ahead of launches, ensuring the right people have the right information at the right time.
Serve as the primary coordination point across functional teams (Data Engineering, Analytics, Legal, Finance, etc.), aligning workstreams and driving decisions and accountability against timelines.
Anticipate and manage the downstream implications of project decisions before they create risk; proactively surface dependencies, resolve blockers, and escalate when needed.
Build and continuously improve the infrastructure that makes data project delivery scalable: intake forms, templates, checklists, SOPs/playbooks, and retrospectives that feed into process improvement.
Manage relationships with key stakeholders to promote trust and future opportunities.
Knowledge, Skills, & Abilities:
Excellent leadership, communication, and stakeholder management skills.
Ability to work collaboratively across departments (engineering, data science, leadership, legal, finance).
Superb attention to detail, sound judgment, and strong listening skills.
Comfortable driving process improvement and proposing more efficient ways of working.
Passion for data-driven products and cross-functional collaboration.
Minimum Qualifications:
3-5+ years of project management experience or related experience.
Bachelor’s degree or equivalent experience in a related field.
Preferred Qualifications:
Proven track record managing large, cross-functional data or technical projects.
Experience managing a high volume of projects in parallel.
Experience with data, engineering, or analytics project types.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
We’re looking for someone to join as Executive Operations, partnering directly with the GM of Growth to drive strategy, OKRs, and execution across product, growth, operations, and hiring. Unlike a Product Manager, who owns a defined roadmap and engineering delivery, this person flexes across whatever the Growth org needs — solving ambiguous problems, driving cross-functional initiatives, and filling gaps wherever they show up.
Key Responsibilities
You’ll lead high-impact, cross-functional initiatives and special projects, turning ambiguous ideas into structured plans and measurable outcomes
Establish operating rhythms and align teams across product, growth, marketing, and operations
Remove blockers and keep top priorities on track as the Growth org scales
Drive key workstreams across hiring and go-to-market
Act as a flexible strategic partner to the GM, jumping into whatever needs attention, whether that’s a stalled initiative or a tricky stakeholder conversation
Support stakeholder management across teams like Product, Marketing, Data, and Sales, keeping people aligned without formal authority.
What We’re Looking For
Four or more years of experience in operations, strategy, or consulting, including prior experience as a Chief of Staff or similar role supporting a leader over an org of five or more people.
Highly analytical and execution-focused, thriving in fast-paced, ambiguous environments. Scrappy, with a strong bias to action — comfortable moving quickly from strategy to action with minimal direction.
Solution-oriented with sharp, PM-like instincts for structuring ambiguous problems, but energized by breadth rather than owning a single roadmap.
A strong communicator who can work across functions and with stakeholders, with a trustworthy, low-ego style.
Success in This Role Looks Like
Cross-functional initiatives move forward instead of stalling, and top priorities stay on track as the org scales. The GM has a trusted partner who can be handed an ambiguous problem and run with it. Stakeholders across the org see this person as a credible, capable proxy for the GM.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the role
Mercor is building a team to centralize planning and reporting across its rapidly growing Human Data business. This team sits at the intersection of Delivery Operations, Engagement Management, Finance, and Talent Sourcing. As the business scales, this function becomes the single system every team plans against, replacing fragmented, account-by-account approaches with one consistent standard.
The Head of Operations Planning will stand up this function from the ground up: the team, the workflows, and the tools that turn a signed deal into a fully staffed, forecasted, and tracked production plan. That means catching data quality issues as opportunities enter the pipeline, checking staffing plans against actual delivery capacity before commitments are made, and giving leadership a single source of truth on where every project stands.
What you'll own
Build and lead the function: Design the operating model for Operations Planning — what the team owns, how it's staffed, and how it scales as new accounts and business lines come online.
Demand and forecast accuracy: Set the standard for how customer demand gets captured, at what granularity, and how it flows into production plans and revenue forecasts. Own the weekly cadence with account and supply teams to catch drift early.
Staffing and capacity strategy: Own the framework for translating forecasted demand into staffing decisions across accounts. Build models that stress-test headcount scenarios and flag risk before it hits a client conversation. Partner with Finance and account leadership on cost and margin implications.
Opportunity pipeline integrity: Own the process that governs how new opportunities get scoped, logged, and moved from signal to committed forecast. Set the bar for consistency across accounts so leadership can trust the number without checking the math.
Systems and reporting infrastructure: Decide what gets tracked, how, and where. Build the dashboards, account playbooks, and planning tools that make account status visible without a meeting.
Cross-functional operating rhythm: Represent Operations Planning in account reviews, finance syncs, and leadership forecasting sessions.
What we're looking for
5+ years in operations, program management, or business operations, with direct experience in demand planning, staffing, or forecasting at a company with complex, multi-account delivery
Experience building a team or function from scratch, not just operating within one someone else designed
Direct experience managing people
Strong command of spreadsheets and reporting tools; comfort building the system rather than waiting for someone to build it for you
A track record of standardizing messy, inconsistent processes into something repeatable and auditable
Comfortable being the source of truth in a room full of people who disagree about the numbers
Experience in AI training data, human data operations, or a comparable high-growth operations environment is a plus, not a requirement
Compensation
Base cash comp from $200K-$250k
Equity starting at $1.5m / 4 years
$10K proximity bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
Up to $15k Relocation bonus
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.
About the Role
As a Member of Technical Staff of talent experience, you'll own the shared backend architecture that underpins every user journey for talent network at Mercor.
Mercor's products—talent matching, assessment, expert workflows—are growing faster than any single team can architect for. You'll define the technical direction of the systems they all depend on: core services, data models, APIs, and infrastructure patterns that must scale with a network of tens of thousands of experts and the demands of the world's leading AI labs. You'll set the standards that dozens of engineers build on, pay down the architectural decisions that no longer fit, and make the ones that will still be right three years from now.
This is a hands-on technical leadership role, not a management role. You'll write code, review the designs that matter most, and act as the connective tissue between product teams—partnering directly with engineering leadership to shape how the organization builds.
What You’ll Do
Own the architecture of Mercor's shared backend systems—core services, data models, APIs, and cross-product infrastructure.
Define and drive the long-term technical strategy for backend architecture across the organization.
Design systems for scale, reliability, and evolvability, and lead the highest-stakes technical decisions and design reviews.
Identify and pay down architectural debt that slows product teams, and lead complex cross-team migrations.
Establish backend engineering standards, patterns, and best practices adopted across all product teams.
Stay hands-on: prototype critical systems, ship production code, and unblock teams on their hardest technical problems.
Mentor senior engineers and raise the technical bar across the engineering organization.
Partner with engineering and product leadership on build-vs-buy decisions, platform investments, and technical hiring.
What We’re Looking For
8+ years of professional backend engineering experience, including 3+ years operating at a Senior level or above.
Deep expertise in distributed systems, service architecture, data modeling, and API design at scale.
A track record of owning architecture across multiple teams or an entire organization—and of decisions that aged well.
Experience leading large, complex technical migrations in production without stopping the business.
Strong opinions, loosely held: you drive alignment through technical judgment and clear writing, not authority.
Fluent in using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, or similar) to improve engineering productivity.
Experience mentoring senior engineers and raising the technical bar across an organization.
Excellent communication skills—able to make complex tradeoffs legible to both engineers and leadership.
High ownership, pragmatism, and a bias toward shipping.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Healthcare Data Partnerships Associate, you'll help build out Mercor's data partnerships engine in healthcare. An integral part of our strategy is partnering with health systems, payers, EHR vendors, and other organizations that hold large, high-quality healthcare datasets to access new kinds of data at scale.
You'll be on the front lines of outbound — calling, emailing, and prospecting to build pipeline — while supporting deal-building and relationship management with a wide range of organizations. This is a great fit for someone early in their career who wants to learn hardcore sales and deal-making in a fast-moving, high-ownership environment.
Run high-volume outbound: calling, emailing, and prospecting to build and fill the partnership pipeline from scratch
Help identify and prioritize potential data partners: health systems, payers, EHR vendors, life sciences companies, and other organizations with large, structured healthcare datasets
Support the partnership cycle — outbound prospecting, pitch development, and deal coordination — alongside senior team members
Book meetings and manage an active outreach cadence across calls, email, and LinkedIn to keep pipeline moving
Help draft and organize materials for data licensing and data sharing agreements, including pricing, access terms, compliance requirements, and usage rights
Contribute to building repeatable outbound processes, playbooks, and tracking metrics for the partnerships function
Support ongoing partner relationships, helping with renewals, check-ins, and maintaining trust over time
Work cross-functionally with product, engineering, and legal to support smooth data integration and regulatory compliance (HIPAA, de-identification, FHIR/HL7)
Help represent Mercor at digital health conferences and industry forums to build brand and relationships in the HLS ecosystem
Support market research and segmentation across provider, payer, BioPharma, and medical devices
2-4 years of experience in partnerships, BD, or sales, with real outbound / hardcore sales experience — you're not afraid of the phone
Track record of hitting outbound activity targets (calls, emails, meetings booked) in a fast-paced sales environment
Strong interest in healthcare data partnerships and eagerness to learn deal sourcing and negotiation
Excellent written and verbal communication skills, comfortable interfacing with external stakeholders
Familiarity with or strong interest in data licensing, IP deal structures, or de-identification frameworks
Willingness to build knowledge of the healthcare data landscape: EHR vendors, data standards (FHIR, HL7), HIPAA compliance, and data governance
Highly organized, detail-oriented, and comfortable managing multiple workstreams
Resilient and persistent — comfortable with rejection and high call/email volume
Self-motivated and comfortable with ambiguity in a startup environment
A team player who's excited to grow into a more client-facing, ownership-heavy role over time
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As a Member of Technical Staff, iOS, you'll help build the next generation of Mercor's mobile experience for tens of thousands of AI experts around the world.
Our mobile platform is becoming a core part of the expert experience—from discovering projects and completing onboarding to collaborating with AI-powered workflows. You'll work closely with Product, Design, AI, and Backend Engineering to build intuitive, reliable, and high-performance native iOS experiences that directly improve expert engagement, retention, and satisfaction.
You'll join a small, fast-moving engineering team with significant ownership. From your first week, you'll ship production code, contribute to technical decisions, and work directly with product leaders to shape the roadmap. This is an opportunity to help establish Mercor's US mobile engineering capability while building products used every day by thousands of AI experts.
What You'll Do
Design, build, and ship high-quality native iOS applications using Swift and SwiftUI.
Own features end-to-end—from product discussions and technical design to implementation, testing, and release.
Collaborate closely with Product, Design, AI, and Backend Engineering to deliver customer-facing experiences.
Build reusable SwiftUI components and create polished, intuitive user experiences.
Optimize application performance, reliability, testing, and release quality.
Leverage modern AI coding tools to accelerate development while maintaining a high engineering bar.
Contribute to the long-term architecture and engineering standards of Mercor's mobile platform.
Solve real customer problems and continuously improve expert engagement and experience.
What We’re Looking For
2–5+ years of professional software engineering experience building production iOS applications.
Strong proficiency in Swift and SwiftUI.
Experience shipping production applications through the App Store.
Strong understanding of modern mobile architecture and engineering best practices.
Comfortable building products using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, Codex, or similar) to accelerate software development.
Strong software engineering fundamentals, including testing, debugging, and performance optimization.
Excellent product intuition—you enjoy building products that people actually use.
Comfortable working in fast-moving environments with evolving priorities.
High ownership, curiosity, and a bias toward shipping.
Why Mercor
Impact: Build products used every day by tens of thousands of AI experts and directly shape the future of the AI workforce.
Ownership: Join a small, high-velocity engineering team where you'll own features end-to-end and influence product direction from day one.
Learning: Work alongside world-class engineers, product leaders, and AI researchers building products at the frontier of AI.
Growth: Rapid career progression with opportunities to expand ownership as the mobile platform and engineering organization scale.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Member of Technical Staff on the Talent Experience team, you'll build the systems that evaluate the skills and expertise of the world's top talent at scale.
Assessment is at the core of how Mercor works: every expert in our network is vetted, matched, and continuously evaluated through our assessment platform. You'll own backend-heavy, full-stack work across this platform—designing evaluation pipelines, building the services that power AI-assisted interviews and skill verification, and shipping the product surfaces that tens of thousands of candidates and experts interact with every day.
You'll work directly with the Assessment product lead on roadmap and execution, with significant ownership from day one. This is a high-leverage role: improvements to assessment quality and throughput compound across everything Mercor does.
Design, build, and ship backend services and APIs that power Mercor's assessment platform at scale.
Own features end-to-end—from product discussions and technical design to implementation, testing, and release.
Build evaluation pipelines and data models that combine human judgment with AI-powered scoring.
Contribute across the stack, including the candidate- and expert-facing product surfaces of assessment flows.
Partner closely with Product, AI, and Data teams to translate assessment research into production systems.
Leverage modern AI coding tools to accelerate development while maintaining a high engineering bar.
Improve the performance, reliability, and observability of assessment infrastructure.
Solve real customer problems and continuously improve candidate and expert experience.
3+ years of professional software engineering experience building production systems.
Strong backend fundamentals: API design, data modeling, distributed systems, and relational databases.
Comfortable working across the stack, including modern frontend frameworks (e.g. React/TypeScript) when the product needs it.
Experience building or integrating LLM-powered features in production is a strong plus.
Comfortable building products using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, Codex, or similar) to accelerate software development.
Strong software engineering fundamentals, including testing, debugging, and performance optimization.
Excellent product intuition—you enjoy building products that people actually use.
Comfortable working in fast-moving environments with evolving priorities.
High ownership, curiosity, and a bias toward shipping.
Impact: Build the evaluation systems that decide how tens of thousands of AI experts are matched to the world's most important AI work.
Ownership: Join a small, high-velocity engineering team where you'll own features end-to-end and shape the assessment roadmap from day one.
Learning: Work alongside world-class engineers, product leaders, and AI researchers building products at the frontier of AI.
Growth: Rapid career progression with opportunities to expand ownership as the assessment platform and engineering organization scale.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K proximity bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
Within Mercor, our Enterprise AI organization builds the infrastructure enterprises need to deploy continuously improving production AI systems. Rather than relying on hand-written prompts and manual workflows, we help organizations translate how their best people work into agent behavior, evaluate outputs against measurable quality standards, and create feedback loops that make agents smarter over time.
Our platform combines organizational context, evaluation systems, and quality guardrails into a stack that powers accelerated AI deployment in weeks instead of months. Proven at scale with the world’s leading frontier AI labs, our technology now powers AI deployments across Fortune 500 organizations.
This full-time leadership role sits within Applied AI (the Forward Deployed Engineering team of our Enterprise AI organization) and operates separately from Mercor's expert network.
We're hiring Applied AI Leads to build and scale the technical delivery team responsible for deploying Mercor's Enterprise AI platform for enterprise customers.
This is a highly customer-facing engineering leadership role that is tightly integrated with our Sales/GTM and delivery teams. You’ll lead engineers in the end-to-end technical delivery of production-grade AI systems, working hand-in-hand with customer stakeholders to solve technically complex business problems and contributing to the overall commercial relationship with the customer.
Success is measured by customer outcomes and overall commercial impact, not individual code output. You'll own technical delivery, coach engineers, remove blockers, and ensure deployments are reliable, scalable, and customer-ready. You have a deep understanding of customer workflows, use case requirements, and acceptance criteria. While you’re expected to be technically credible and capable of hands-on contribution, your primary responsibility is enabling your engineering team to execute.
What You'll Do
Partner directly with customers to align technical requirements with business objectives, acting as the critical bridge between engineering and Sales, GTM, and delivery
Co-lead a Technical team with an Operations counterpart to deliver scalable, production-ready AI systems for enterprise customers
Translate ambiguous workflows into scalable AI-powered solutions, integrating across enterprise systems, APIs, internal tools, and data sources
Guide the deployment of AI workflows, agent orchestration, evaluation systems, and continual learning feedback loops
Hire, mentor, and develop exceptional engineers while establishing rigorous engineering and technical delivery practices as the organization scales
Work closely with Sales/GTM, Product, Research, and Platform Engineering to bring new AI capabilities into production
What We're Looking For
Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics or Statistics
5+ years building production software systems, with strong software engineering fundamentals in Python, Go, Java, Rust, or similar languages
2+ years directly managing technical teams
Proven track record leading customer-facing technical delivery for enterprise software, AI products, or developer platforms
Deep experience designing designing distributed systems and cloud-native applications
Highly comfortable communicating complex technical concepts to both engineers and executive-level customer stakeholders
Demonstrated ability to lead through ambiguity, coach others, make decisive technical calls, and maintain high execution velocity in unstructured environments
Nice to Haves
AI agents or agent orchestration
LLM applications
Evaluation systems or benchmarking
Enterprise integrations
Workflow automation
Production ML systems
Who Thrives Here
You enjoy solving ambiguous technical problems with customers, building high-performing teams, and shipping production systems that create measurable business value.
You are a technical delivery leader first, and an individual contributor second. Your instinct is to remove blockers, build deep trust with enterprise stakeholders, and partner closely with sales to ensure mutual success.
Why Join Mercor
Build production AI systems deployed for some of the world's largest enterprises
Help define how organizations adopt agentic AI at scale
Lead a high-impact, forward-deployed engineering organization from its earliest stages
Work alongside elite engineers, researchers, and operators at the forefront of enterprise
Benefits
Participation in the Enterprise revenue sharing pool
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Frontier AI is going physical, and the labs building it are bottlenecked on one thing: high-quality data from the real world. Mercor pairs its operational scale with the specialized engineering that physical-world data demands.
As a Software Engineer on Robotics, you'll sit between Mercor's data systems and our customers' infrastructure. Every frontier lab wants something different: container format, schema, fields, and quality requirements. You'll build infrastructure general enough that a new customer becomes a quick configuration, and you'll work directly with customer engineering teams on bespoke requests, feeding what you learn into scalable platform architecture decisions. An example might be modifying the segmentation model derived from a customer request for stricter filtering on hands being in frame and building this into a configurable pipeline feature.
Prior robotics experience is not required. This is a backend and data engineering role at its core, developing pipelines, formats, and storage methods. If you've built high-volume data infrastructure anywhere and want depth in robotics data and directly, working directly with the engineers and researchers at the labs and robotics companies building physical AI, this role is for you.
Own the reusable infrastructure behind robotics data deliveries: the processing, packaging, and delivery systems
Format and transform datasets to per-client specification: MCAP and other container formats, custom schemas, field mappings, metadata, and versioning
Work directly with customer engineering teams to scope and build bespoke schemas, custom fields, and one-off transforms where requirements are custom
Build and operate the pipelines that move data from Mercor's systems into customer storage reliably at petabyte scale
Partner with operations and product to turn evolving requirements into shipped data deliveries, and prototype quickly when a new data type or customer arrives
Build automated validation techniques
Strong backend and data engineering fundamentals in a modern language (Python, Go, Rust) and comfort operating production systems on AWS and GCP
Experience building and owning high-volume data pipelines, not just contributing to them
Experience with large binary formats, streaming ingestion, distributed batch processing, and object storage economics
Customer-facing instincts: you can lead a technical conversation, ask the right questions, and push back when a request is unreasonable
Comfort working through ambiguity and shipping iteratively with a product team, where requirements evolve with the customers and data types
Experience with robotics/AV data formats and tooling such as MCAP, ROS, protobuf, Foxglove
Prior work on data engines, pipelines, or delivery for multimodal data
Multi-sensor data experience across video, depth, inertial, and audio, including calibration and synchronization
Forward-deployed, solutions, or delivery engineering experience at a data or infrastructure company
Computer vision or multimodal ML exposure: detection, tracking, or VLM-based labeling and QC
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Own the evolution of Mercor’s brand identity across every external and internal touchpoint, from campaigns and launches to web, social, and events
Translate complex ideas about AI, talent, and work into clear, compelling visual systems
Create polished, high-impact brand assets, including landing pages, decks, social graphics, ads, illustrations, event collateral, and product marketing visuals
Develop and maintain a distinctive, modern visual language
Partner closely with marketing, product, recruiting, and leadership to bring Mercor’s story to life across channels
Help build a scalable brand system, templates, and guidelines that make the company look consistently excellent as we grow
Bring strong taste, speed, and originality to a fast-moving team with a high creative bar
Strong portfolio demonstrating exceptional visual design, brand systems, typography, layout, and storytelling
Passion for building brands that feel distinctive, polished, and culturally relevant
4+ years in brand, visual, or graphic design, ideally at fast-moving startups, agencies, or high-bar creative teams
Experience designing across web, social, campaigns, decks, and marketing surfaces
Proven ability to operate autonomously, take ambiguous ideas, and turn them into excellent creative work
Strong taste, attention to detail, and ability to move quickly without sacrificing quality
Bonus: Experience designing for AI, marketplaces, recruiting, fintech, or other complex technical products
At Mercor, we recognize that exceptional ability comes in all forms, a core philosophy on which we built our platform. Because of this, we welcome candidates from diverse backgrounds with unique experiences and transferable skill sets, even if they don’t meet all the preferred qualifications listed above.
Generous equity grant vested over 4 years
Up to $15k relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
You’ll work with large enterprises to capture their data and transform it into high-fidelity RL environments for capability evaluations and training datasets for frontier labs. We focus on pushing the frontier of world-building, verifier engineering, and more alongside our partners.
Your goal will be to automate the process of building evals for real work in the economy.
Ship models for workflow extraction, classification, and grading.
Engineer autonomous task refinement processes which distill data taste into pipelines.
Deliver data to customers and deploy into real engagements.
Help define the future of agentic transformation for enterprises around the world.
Deeply learn about the intricacies of enterprises through building evaluations for all aspects of work.
Build end-to-end environments for labs & enterprises by platformizing sandbox app clones, load real data into the sandboxes, build prompts from real workflows, and write verifiers leveraging enterprise expertise & golden outputs.
Systematize the production of environments to scale throughput while maintaining high-quality worlds and verifiers.
Prior experience shipping environments – you’ve contributed to an OSS framework, built environments at previous companies, or worked on agentic evaluations.
Strong full-stack engineering skills – you’ll be responsible for everything from infrastructure to app code to analytics
Bias to action – this team is focused on shipping evals, not just philosophizing about them.
Curiosity – being biased towards understanding and digging deep into model behavior and actually looking at the data.
Sweat the details that make a simulation indistinguishable from the real thing and have systems-level thinking skills that allow you to scale up quality.
Experience with Temporal, Modal, or similar orchestration/compute services
Experience with synthetic data generation for frontier models.Past work auditing and scrutinizing industry-standard evaluations
Semi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As an Applied AI Product Manager, you'll sit at the intersection of Product, Engineering, Operations, GTM, and our customers - the world's leading AI labs. You'll help grow Mercor's most strategic accounts by scoping complex AI data projects during the sales process, developing the technical strategy behind account growth plans, and ensuring every committed project is set up to deliver.
As part of our Applied AI team, you'll own technical scoping upstream of commitment - turning ambiguous customer requests into sized, deliverable projects and serving as the voice of the customer inside the Product organization. You'll also own the roadmap for customer integrations and the processes that make delivery measurably more reliable with every cycle.
This is a highly technical, customer-facing role in the Product Management job family for someone who enjoys solving ambiguous problems, working directly with strategic customers, and building systems that scale.
Scope Customer Solutions: Partner with GTM and customers during the pre-sales process to scope complex AI data projects. Define technical requirements, break down and size the engineering effort, identify the ROI for each project.
Drive Account Growth: Work directly with AI researchers at leading labs and internal GTM leads to formulate and execute account growth plans. Leverage Mercor's evaluation infrastructure and data inventory to generate new demand, and track the competitive landscape to position Mercor to win.
Lead Customer Implementations: Assemble the right solution for every committed project - composing the teams, resources, and bandwidth it will take to deliver - and coordinate across Product, Engineering, GTM, and customer stakeholders to ensure successful launches.
Own Customer Integrations: Set the roadmap for integrations with customer platforms and data systems, expanding the integration surfaces that unblock new revenue and driving toward seamless, reliable delivery regardless of customer infrastructure.
Make Delivery Reliable: Lead delivery incident response and root-cause analysis, triage technical blockers to the right owners, and track corrective actions to resolution so the same issue never recurs.
Shape The Product: Identify recurring customer needs and translate them into product requirements. Own the roadmap for customer integrations and partner with Engineering to expand platform capabilities.
Experience: 2+ years in Product Management, Technical Program Management, Solutions Engineering, Forward Deployed Engineering, Implementation Consulting, or a similar technical, customer-facing role.
Technical Fluency: Familiar with coding agents. Comfortable using SQL/Python without agent assistance as well. Can break down large engineering problems into well-scoped roadmaps. Able to hold your own in technical conversations with AI researchers and engineers.
Ownership: Thrive in ambiguous environments and take ownership from problem definition through execution. Customer-focused with excellent written and verbal communication.
Commercial Judgment: Comfortable weighing revenue upside against delivery cost, and spotting the account opportunities others miss.
Systems Thinking: Strong project management and cross-functional communication skills. Passion for fixing problems at the source and building repeatable systems rather than one-off solutions.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor is building its first mobile app, and we're looking for a Product Manager to own it end to end. The app will be how experts apply for jobs on Mercor, track their contracts, and complete assessments, all from their phone. This is a brand-new surface, and you'll be the person who takes it from 0-1.
This is a rare opportunity for an experienced mobile focused PM. You get the blank canvas of a greenfield product with the built-in network and scale of a platform that already creates hundreds of thousands of jobs and pays out over $4 million a day. You'll shape the future of expert interaction with Mercor, and will own Mercor’s mobile strategy and validate the impact of marginal mobile users and usage.
Launch the mobile surface: Take Mercor's mobile app from concept to launch and beyond defining what it is, what it isn't, and what it becomes. This will start with the roadmap for how experts apply to jobs, track contracts, and submit assessments on mobile.
Own the full lifecycle: Drive the product end-to-end, from conception through launch and iteration, including release management, app store operations, mobile analytics and instrumentation, and post-launch growth.
Advance the frontier of AI: Mercor is organizing humanity's expertise into better AI models for every lab and enterprise. You'll build and own the products that make this possible.
Understand the Business: Work backwards from business outcomes to make product decisions that impact business health and growth.
Get in the weeds: Write specs and PRDs but also build dashboards and make small PRs to unblock yourself.
Mobile launch experience: You've shipped and scaled mobile apps before. You know what it takes to build native experiences, manage app store releases and review cycles, and grow a mobile product from zero to meaningful adoption.
Proven 0-to-1 track record: You've built and launched at least one product from scratch, and you're energized by a greenfield mandate with no existing playbook.
Experience: 5+ years as a product manager, with significant time spent on mobile products.
High Ownership: You take full accountability for outcomes, not just outputs.
Independence: Able to self-direct in ambiguous contexts, creating clarity for others.
Technical Fluency: Comfortable building scrappy MVPs yourself when needed to validate direction, unblock engineering, or accelerate iteration.
Strategic Vision: Strong ability to connect user needs and business context to long-term product direction.
User Obsession and Understanding: Talks to users frequently, knows how to effectively conduct user research and customer interviews.
Balance of Metrics & Vision: Equally comfortable running rigorous experiments and pushing forward visionary bets.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As a Member of Technical Staff of talent experience, you'll own the shared backend architecture that underpins every user journey for talent network at Mercor.
Mercor's products—talent matching, assessment, expert workflows—are growing faster than any single team can architect for. You'll define the technical direction of the systems they all depend on: core services, data models, APIs, and infrastructure patterns that must scale with a network of tens of thousands of experts and the demands of the world's leading AI labs. You'll set the standards that dozens of engineers build on, pay down the architectural decisions that no longer fit, and make the ones that will still be right three years from now.
This is a hands-on technical leadership role, not a management role. You'll write code, review the designs that matter most, and act as the connective tissue between product teams—partnering directly with engineering leadership to shape how the organization builds.
What You'll Do
Own the architecture of Mercor's shared backend systems—core services, data models, APIs, and cross-product infrastructure.
Define and drive the long-term technical strategy for backend architecture across the organization.
Design systems for scale, reliability, and evolvability, and lead the highest-stakes technical decisions and design reviews.
Identify and pay down architectural debt that slows product teams, and lead complex cross-team migrations.
Establish backend engineering standards, patterns, and best practices adopted across all product teams.
Stay hands-on: prototype critical systems, ship production code, and unblock teams on their hardest technical problems.
Mentor senior engineers and raise the technical bar across the engineering organization.
Partner with engineering and product leadership on build-vs-buy decisions, platform investments, and technical hiring.
What We're Looking For
8+ years of professional backend engineering experience, including 3+ years operating at a Senior level or above.
Deep expertise in distributed systems, service architecture, data modeling, and API design at scale.
A track record of owning architecture across multiple teams or an entire organization—and of decisions that aged well.
Experience leading large, complex technical migrations in production without stopping the business.
Strong opinions, loosely held: you drive alignment through technical judgment and clear writing, not authority.
Fluent in using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, or similar) to improve engineering productivity.
Experience mentoring senior engineers and raising the technical bar across an organization.
Excellent communication skills—able to make complex tradeoffs legible to both engineers and leadership.
High ownership, pragmatism, and a bias toward shipping.
Why Mercor
Impact: Own the architecture that every Mercor product is built on, at a company scaling faster than almost any in its category.
Ownership: Organization-wide technical scope with a direct line to engineering leadership and real authority over technical direction.
Learning: Work alongside world-class engineers, product leaders, and AI researchers building products at the frontier of AI.
Growth: Shape the engineering organization itself—its standards, its architecture, and its next generation of technical leaders.
Benefits
Generous equity grant vested over 4 years
A $20K relocation bonus (if moving to the Bay Area)
A $10K housing bonus (if you live within 0.5 miles of our office)
A $1.5K monthly stipend for meals
Free Equinox membership
Health insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Procurement at Mercor isn’t a back-office function—it’s a strategic lever for scaling one of the world’s largest AI-powered expert networks.
As a Senior Sourcing Manager, Technology, you’ll lead commercial sourcing and negotiations across a broad portfolio of technology, AI, infrastructure, and business-critical vendors. Partnering closely with Engineering, Security, Product, Finance, Legal, and Operations, you’ll help the business adopt new technologies quickly, negotiate commercial frameworks that scale with our growth, and ensure our supplier ecosystem is a competitive advantage.
This is a highly visible role with significant ownership. You’ll independently lead negotiations ranging from tactical purchases to multi-million-dollar strategic agreements. Your work will directly influence how quickly Mercor can adopt new technologies, scale its AI platform and expert network, and build durable commercial advantages.
Lead end-to-end sourcing and commercial negotiations across software, AI, cloud, infrastructure, security, developer tools, and business services.
Partner with stakeholders across Engineering, Security, Product, Finance, Legal, IT, and Operations to deliver commercial outcomes that enable the business to move quickly and scale efficiently.
Structure commercial agreements that balance speed, flexibility, cost, and long-term business value.
Independently negotiate agreements ranging from tactical purchases to $1M+ strategic vendor relationships.
Own competitive sourcing events, pricing strategy, contract negotiations, renewals, and supplier relationships.
Provide market insights and commercial guidance to influence vendor and investment decisions.
Help build scalable procurement processes that enable growth without creating friction.
7+ years of experience in strategic sourcing, procurement, vendor management, or commercial negotiations.
Proven experience negotiating complex software, SaaS, cloud, AI, infrastructure, or technology agreements, including $1M+ strategic deals.
Strong commercial judgment with the ability to structure creative, win-win agreements.
Exceptional stakeholder management skills and experience partnering with Engineering, Security, Product, Finance, and Legal teams.
Strong analytical, financial, and negotiation skills.
A builder’s mindset with the ability to thrive in a fast-paced, high-growth environment.
Passion for creating commercial frameworks that help the business move faster and scale smarter.
Base cash compensation from $150K – $200K
Generous equity grant vested over 4 years
Up to $15K relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a GTM Recruiter at Mercor, you'll own full-cycle hiring for the teams that drive our revenue: Growth, Data Acquisition, Account Executives, and Engagement Manager roles that sit at the front line of our relationships with the world's leading AI labs and enterprises. You'll partner directly with leadership to turn revenue targets into hiring plans, and you'll understand what makes a great Account Executive or Data Partnerships Lead as well as you understand Mercor's product. This is a 0→1 motion for GTM recruiting specifically - you're building the playbook, not inheriting one.
Own full-cycle recruiting for Mercor's GTM organization: Sales, Partnerships/BD, and Growth with occasional support across Operations and other business functions as priorities shift
Assess for what GTM roles actually require: quota attainment, deal-cycle ownership, territory/segment fluency, and consultative selling
Build top-of-funnel using creative outbound, talent intelligence, and Mercor's own product (structured screens, automated work samples, calibrated rubrics)
Coach hiring managers and interviewers on structured interviewing, leveling, and decision hygiene specific to revenue roles
Operationalize hiring systems: track and optimize funnel metrics by role and segment
Champion speed and quality: drive SLAs for fast decisions, fast offers, and a candidate experience that holds up in a highly competitive GTM talent market
Represent Mercor externally as a face of the brand in a market where AI labs and top startups are all competing for the same GTM talent
Collaborate on dashboards, metrics, and process automation within Hex and other recruiting systems
4-5 years of full-cycle recruiting experience specifically for GTM roles - Account Executives, Data Acquisition, Growth and GTM Associates
Fluency in what makes a GTM hire strong: market research and account prospecting, deal-cycle and territory dynamics, consultative vs. transactional sales motions
Proven ability to build and scale hiring systems, identify key metrics, and make data-driven decisions
High motor, outcome-oriented approach; Mercor is in hypergrowth, and GTM hiring is a direct driver of revenue growth
Strong communication skills; able to work efficiently with GTM leadership, Account Leads, and internal cross functional partners
Confident representing the Mercor brand to top GTM candidates in a competitive market
Familiarity with Ashby or ability to quickly adopt new tools and systems
Experience recruiting for AI, SaaS or enterprise software companies
Experience as a founding recruiter or early-stage startup builder
Interest in the human data / AGI space
Comfort with shifting hiring demands; support for Operations, Strategy, or other business functions as Mercor's needs evolve
Agility / Adaptability - ability to move fast, pivot with business shifts, and maintain best-in-class outcomes
Operational Rigor - ability to bring order to an unstructured environment
Growth Mindset - You don't need to be an expert on AI, but you do need a strong desire to learn in a rapidly evolving, frontier industry
Commitment to the Outcome - Ownership mentality; will hold yourself accountable to an extremely high standard of work
Love for the Craft - genuine enthusiasm for building a best-in-class GTM talent acquisition motion, not just recruiting operations
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Up to $15K in relocation assistance (for moving to the Bay Area)
Health, Dental, Vision insurance
401(k) with company match
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Talent Intelligence & Analytics Manager at Mercor, you'll be the person who knows the AI talent market better than anyone else on the team: where competitors are finding talent, how compensation is trending, and what it actually takes to win a candidate in this market. You'll build the data and research layer underneath all of Mercor's recruiting - GTM, Applied AI, Operations, and beyond - turning market signal and funnel data into decisions our recruiters and leadership can act on.
Track the competitive AI talent landscape: where frontier labs, Mag 7 companies, and direct competitors are sourcing talent, how their teams are structured, and how they're positioning offers
Analyze Mercor's own hiring funnel: pass-through rates, time-in-stage, source yield, and quality of hire, and turn that into recommendations recruiters and leadership can act on
Build dashboards and reporting that give recruiting leadership a real-time read on pipeline health and hiring capacity
Act as the analytics expert for Talent Acquisition, informing strategic decision making across the recruiting funnel
Partner with business leadership as well as recruiters across GTM, Applied AI, and Operations to answer their specific market and pipeline questions
Run research projects on talent-market trends: where the best AI talent is coming from, how compensation structures are evolving, and what's changing in how competitors hire
Build and maintain compensation benchmarking across roles and markets, keeping Mercor's offers competitive as the AI talent market shifts
Present findings directly to recruiting and company leadership, translating data into a clear point of view
5+ years of experience in people analytics, talent intelligence, or recruiting analytics, ideally at a high-growth tech or AI company
Strong SQL and data modeling skills; comfort building dashboards in tools like Hex, Looker, or Tableau
A genuine interest in the AI talent market: who's hiring, where they're finding people, how comp is trending, and what that means for Mercor's competitiveness
Ability to turn messy data into a clear narrative and a clear recommendation, not just a report
Strong communication skills; able to present data-backed points of view to recruiters and leadership with confidence
High motor, outcome-oriented approach; Mercor is in hypergrowth, and this role's insights directly shape hiring decisions across the company
Familiarity with Ashby or ability to quickly adopt new tools and systems
Experience in a strategy, market research, or competitive intelligence role prior to moving into talent/people analytics
Interest in the human data / AGI space
Experience building compensation benchmarking models or market-pay studies
Comfort supporting multiple recruiting functions (GTM, Applied AI, Operations) at once
Agility / Adaptability - ability to move fast, pivot with business shifts, and maintain best-in-class outcomes
Operational Rigor - ability to bring order to an unstructured environment
Growth Mindset - You don't need to be an expert on AI, but you do need a strong desire to learn in a rapidly evolving, frontier industry
Commitment to the Outcome - Ownership mentality; will hold yourself accountable to an extremely high standard of work
Love for the Craft - genuine enthusiasm for building a best-in-class talent function
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
The Role
We're looking for a Cloud Platform Engineer to own the internal IT infrastructure Mercor runs on — and to run it as code. You'll design and operate the platform layer beneath our identity, cloud, and SaaS systems: Okta configuration managed in Terraform, cloud IAM and account structure defined declaratively, and employee lifecycle provisioning automated end to end. You'll also own identity planning as we scale from hundreds to thousands of employees. This role reports directly to the Head of IT and is critical to our operational foundation.
What You'll Do
Own Mercor's identity infrastructure — Okta configuration and provisioning — managed as code in Terraform rather than clicked through a console
Design and implement SCIM integrations across our SaaS stack, automating user provisioning and deprovisioning
Own identity planning and architecture as we scale: access models, group strategy, and how entitlements evolve from hundreds to thousands of employees
Own cloud account structure, IAM roles, and permission boundaries across AWS, GCP, Azure, and Vercel, keeping access least-privilege as the org grows
Build and maintain Terraform for internal platforms so environments are reproducible and every change is reviewable
Build automation that cuts manual ticket volume for employee onboarding and offboarding
Design and own secrets management, key rotation, and service-account lifecycle
Troubleshoot identity and infrastructure issues, trace root causes, and implement systemic fixes
Document platform architecture, runbooks, and automation so the team can operate and extend it
Mentor future IT team members on infrastructure-as-code, automation practices, and systems thinking
Help establish sustainable escalation procedures as the team grows
You may be a good fit if you have:
Hands-on production experience with Terraform, managing real infrastructure as code
Production experience with Okta and SCIM integrations — ideally managed declaratively
Strong skills with IAM roles and permissions across at least two major cloud platforms — AWS, GCP, or Azure — with Vercel a plus
Proficiency in at least one programming language with demonstrated understanding of core coding principles
Experience building automated workflows across systems via APIs
Strong incident management skills: triage, root-cause analysis, and systems thinking
Strong documentation skills — able to write technical guides other team members can follow and learn from
Clear communication skills — able to explain technical identity and infrastructure concepts to non-technical stakeholders
A systems-thinking mindset that naturally traces dependencies and considers second-order effects
Location and Commitment
San Francisco, CA. Full-time, five days a week in office. This role participates in an on-call rotation for weekend emergencies.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\nThe Role\n\nWe're looking for a Cloud Platform Engineer to own the internal IT infrastructure Mercor runs on — and to run it as code. You'll design and operate the platform layer beneath our identity, cloud, and SaaS systems: Okta configuration managed in Terraform, cloud IAM and account structure defined declaratively, and employee lifecycle provisioning automated end to end. You'll also own identity planning as we scale from hundreds to thousands of employees. This role reports directly to the Head of IT and is critical to our operational foundation.\n\nWhat You'll Do\n\n - Own Mercor's identity infrastructure — Okta configuration and provisioning — managed as code in Terraform rather than clicked through a console\n\n - Design and implement SCIM integrations across our SaaS stack, automating user provisioning and deprovisioning\n\n - Own identity planning and architecture as we scale: access models, group strategy, and how entitlements evolve from hundreds to thousands of employees\n\n - Own cloud account structure, IAM roles, and permission boundaries across AWS, GCP, Azure, and Vercel, keeping access least-privilege as the org grows\n\n - Build and maintain Terraform for internal platforms so environments are reproducible and every change is reviewable\n\n - Build automation that cuts manual ticket volume for employee onboarding and offboarding\n\n - Design and own secrets management, key rotation, and service-account lifecycle\n\n - Troubleshoot identity and infrastructure issues, trace root causes, and implement systemic fixes\n\n - Document platform architecture, runbooks, and automation so the team can operate and extend it\n\n - Mentor future IT team members on infrastructure-as-code, automation practices, and systems thinking\n\n - Help establish sustainable escalation procedures as the team grows\n\nYou may be a good fit if you have:\n\n - Hands-on production experience with Terraform, managing real infrastructure as code\n\n - Production experience with Okta and SCIM integrations — ideally managed declaratively\n\n - Strong skills with IAM roles and permissions across at least two major cloud platforms — AWS, GCP, or Azure — with Vercel a plus\n\n - Proficiency in at least one programming language with demonstrated understanding of core coding principles\n\n - Experience building automated workflows across systems via APIs\n\n - Strong incident management skills: triage, root-cause analysis, and systems thinking\n\n - Strong documentation skills — able to write technical guides other team members can follow and learn from\n\n - Clear communication skills — able to explain technical identity and infrastructure concepts to non-technical stakeholders\n\n - A systems-thinking mindset that naturally traces dependencies and considers second-order effects\n\nLocation and Commitment\n\nSan Francisco, CA. Full-time, five days a week in office. This role participates in an on-call rotation for weekend emergencies."},{"id":"1a8f45a2-1ff6-412f-b7b7-715ebb4e3c84","title":"Technical Recruiter","department":"Deeptune","team":"Recruiting","employmentType":"FullTime","location":"New York City","secondaryLocations":[],"publishedAt":"2026-08-10T15:55:58.553+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/1a8f45a2-1ff6-412f-b7b7-715ebb4e3c84","applyUrl":"https://jobs.ashbyhq.com/mercor/1a8f45a2-1ff6-412f-b7b7-715ebb4e3c84/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Technical Recruiter, you'll own full-cycle hiring for critical roles across a range of organizations, with a particular focus on Member of Technical Staff roles. You'll report to Deeptune's Head of Talent and partner with hiring managers to translate ambiguous needs into clear search strategies.
We're looking for an NYC-based talent hire to join us five days a week at our new office in the heart of the Financial District. This is a high-ownership role for someone with strong agency, comfortable making decisions with incomplete information, and able to build processes that hold up under pressure.
You'll work directly with General Managers to identify high performers who go on to support the world's leading AI labs and play an instrumental role in scaling one of the fastest-growing companies. This is a true 0→1 motion and an opportunity to lay the foundation for the future of recruiting at Mercor.
Own full-cycle recruiting (sourcing → close) across a variety of organizations (such as marketing, finance, people ops, with a prominent focus on operations)
Partner with b to map out needs and implement continual process improvements
Build top-of-funnel using creative outbound, talent intelligence, and Mercor's own product (structured screens, automated work samples, and calibrated rubrics)
Coach hiring managers and interviewers on structured interviewing, leveling, and decision hygiene
Operationalize hiring systems: track and optimize key funnel metrics (pass-through rates, time-in-stage, source yield)
Champion speed and quality: drive SLAs for same-day debriefs, fast offers, and strong candidate experience
Build brand: campaigns, referrals, and events that attract top engineers and operators.
Represent Deeptune and Mercor externally; you'll be a face of the brand for an exceptionally competitive talent market.
Collaborate on dashboards, metrics, and process automation within Ashby and other recruiting systems.
Refinement of technical recruiting motion as the Ops org shifts to hire more frequently from technical backgrounds
Experience with full-cycle recruiting across IC and leadership roles
Proven ability to build and scale hiring systems, identify key metrics, and make data-driven decisions
High motor, outcome-oriented approach; Mercor is in hypergrowth, and hiring is viewed as a key strategic driver of that growth
Strong communication skills; able to work efficiently with General Managers, Account Leads, and internal leadership
Familiarity with a range of roles, emphasis on GTM, Strategy, Operations, ideally with some mastery of technical roles such as SWEs or FDEs
Confident representing the Deeptune and Mercor brand to top candidates
Familiarity with Ashby or ability to quickly adopt new tools and systems
Experience as a founding recruiter or early-stage startup builder
Interest in the human data / AGI space
Technical recruiting expertise - Mercor's business is trending in an increasingly technical perspective over time, and we are hiring a greater percentage of technical professionals into client-facing operator roles
Agility / Adaptability - ability to move fast, pivot with business shifts, and maintain best-in-class outcomes
Operational Rigor - ability to bring order to an unstructured environment
Growth Mindset - You don't need to be an expert on AI, but you do need to have a strong desire to learn and continue learning in a rapidly evolving, frontier industry
Commitment to the Outcome - Ownership mentality; will hold themselves accountable to an extremely high standard of work
Love for the Craft - we are building a zero-to-one motion; this hire will bring a low-ego attitude to the table with a genuine love for building a best-in-class talent acquisition motion
$15K relocation bonus (for moving to the New York metropolitan area)
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As the Recruiting Operations Specialist for Mercor NYC, you will own the operational core of how we hire — scheduling, Ashby, candidate experience, and on-sites — and you will be expected to automate the parts that shouldn’t require a person. Your remit is to define the core workflow, then build the systems that run it.
You’ll report to the Head of Talent and partner directly with hiring managers across engineering and operations. This is a New York role, in-office five days a week, in the Financial District. We’re a small team hiring fast, which means the scope is broad and your growth potential is what you make of it. The person who does this well will help define the function.
Run candidate interview experience end to end — screens, take-homes, virtual loops, and full-day onsites — across multiple teams
Manage complex scheduling across candidates, interviewers, and hiring managers, and absorb reschedules and conflicts before they reach the candidate
Treat interviewer capacity as a metric you own rather than a constraint you work around: track load, flag saturation before it slows a pipeline, and help scale the interviewer pool as volume grows
Own candidate data in Ashby — stages, tags, scorecards, written rationale — so the pipeline is trustworthy enough to make decisions from
Build the checks rather than the cleanup: automated exception reports that surface missing feedback, stalled candidates, and inconsistent stage data before anyone notices manually
Turn pipeline data into reporting hiring managers actually use — time-to-schedule, funnel conversion, interviewer load, offer outcomes
Be the person candidates remember, at every stage — clear, fast, and human
Automate the prep, not the warmth: interviewer packets, candidate prep, and follow-ups that fire on the right trigger without anyone remembering to send them
Own post-offer coordination and the handoff into onboarding
Run Superdays, candidate dinners, and networking events end to end — logistics, travel, comms, day-of execution
We’ll partner to make the onsite a reason someone signs
This is the part of the job we expect to grow. Over your first year, we want you to:
Find the most repetitive work on the team and remove it — with automations, LLM workflows, Ashby’s API, or whatever gets there fastest
Codify what our best recruiters do by hand into prompts, templates, and workflows the whole team can use
Help us answer a question we can’t answer yet: which of our interview stages actually predict who succeeds here. We score every evaluative round 1–4 with written rationale, and nobody has tied those scores to on-the-job performance. That project is yours if you want it.
3+ years of experience in project management, recruiting operations, HR operations, or similar roles
Fluent in an ATS (we use Ashby) and fast on unfamiliar tools
You already use AI daily and have built something with it. A scheduling automation, a sourcing workflow, a script that cleans your own data, a prompt library your team relies on.
Exacting attention to detail. You triple-check the time zone before you send the invite
You treat inefficiency as a personal problem. When something breaks twice, you fix the cause instead of the instance
Clear, direct writing — with candidates, with hiring managers, and in your Ashby notes
High ownership. You close loops without being asked to
Experience at an early-stage company in AI or high-growth tech
Hands-on with AI and automation tooling — Claude, Cursor, Clay, Zapier, ATS APIs, or whatever you’ve actually shipped with
SQL, or comfort in a BI tool — you pull the numbers yourself instead of asking someone for them
You’ve designed or improved an interview process, not just run one — rubrics, scorecards, interviewer calibration
Agility / Adaptability - ability to move fast, pivot with business shifts, and maintain best-in-class outcomes
Operational Rigor - ability to bring order to an unstructured environment
Growth Mindset - You don't need to be an expert on AI, but you do need to have a strong desire to learn and continue learning in a rapidly evolving, frontier industry
Commitment to the Outcome - Ownership mentality; will hold themselves accountable to an extremely high standard of work
Love for the Craft - we are building a zero-to-one motion; this hire will bring a low-ego attitude to the table with a genuine love for building a best-in-class talent acquisition motion
We’re writing this req for someone who won’t be doing the same job in two years. As you take manual work off the team, the scope in front of you is program ownership — designing hiring processes rather than running them — plus the technical side of talent: automations, evaluation design, and the systems the recruiting team operates inside.
$15K relocation bonus (for moving to the New York metropolitan area)
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a G&A Recruiter at Mercor, you’ll own full-cycle hiring for critical roles across a variety of Finance, Legal, Marketing and People. You would be Mercor's first dedicated G&A recruiter, partnering with senior leadership and C-Suites to not only make critical hires for the business, but to lay the foundation for how G&A recruiting will operate at Mercor moving forward.
Own full-cycle recruiting (sourcing → close) across a variety of organizations such as marketing, finance, legal and people ops
Partner directly with C-Suite Leadership to map out needs and implement continual process improvements
Build top-of-funnel using creative outbound, talent intelligence, and Mercor’s own product (structured screens, automated work samples, and calibrated rubrics)
Coach hiring managers and interviewers on structured interviewing, leveling, and decision hygiene
Operationalize hiring systems: track and optimize key funnel metrics (pass-through rates, time-in-stage, source yield)
Champion speed and quality: drive SLAs for same-day debriefs, fast offers, and strong candidate experience
Build brand: campaigns, referrals, and events that attract top engineers and operators
Represent Mercor externally, you’ll be a face of the brand for an exceptionally competitive talent market
Collaborate on dashboards, metrics, and process automation within Ashby and other recruiting systems
Refinement of technical recruiting motion as the Ops org shifts to hire more frequently from technical backgrounds
5+ years experience with full-cycle recruiting across IC and leadership roles
Proven success hiring across a range of roles and departments, with the ability to context switch across departments with ease
Ability to build and scale hiring systems, identify key metrics, and make data-driven decisions
Strong communication skills; able to work efficiently with General Managers, Strategic Project Leads and Mercor’s President
Confident representing the Mercor brand to top candidates
Familiarity with Ashby or ability to quickly adopt new tools and systems
Experience as a founding recruiter or early-stage startup builder
Interest in the human data / AGI space
Prior experience leveraging Ashby as an ATS
Agility / Adaptability - ability to move fast, pivot with business shifts, and maintain best-in-class outcomes
Operational Rigor - ability to bring order to an unstructured environment
Growth Mindset - You don’t need to be an expert on AI, but you do need to have a strong desire to learn and continue learning in a rapidly evolving, frontier industry
Commitment to the Outcome - Ownership mentality; will hold themselves accountable to an extremely high standard of work
Love for the Craft - we are building a zero to one motion; this hire will bring a low ego attitude to the table with a genuine love for building a best-in-class talent acquisition organization
$15K relocation bonus (for moving to the Bay Area)
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Deeptune Environments is a Mercor team building the platform and tooling that AI labs use to train agents through reinforcement learning. We build the systems that let researchers turn real-world tasks into training environments at scale.
You'll build the systems our high-fidelity simulation environments run on, the APIs and tool interfaces agents interact with, the grading layer that decides whether an agent actually succeeded, the pipelines that turn raw human demonstrations into training-ready environments, and the orchestration and sandboxing that run it all at scale.
You'll do this alongside researchers who own the RL side. Your job is to make their ideas real: fast, correct, and reliable at scale. That means you should know enough about post-training, evals, and reward modeling to push back on a research spec productively. It does not mean you'll be training models.
The work is high-ownership and lightly specified. You'll set direction, drive outcomes, and stay hands-on. You'll also work directly with AI labs and enterprise partners, which means shipping against real external deadlines rather than internal ones.
Build the systems that build environments end-to-end: the simulated app or system, the agent-facing tool surface, the task definitions, and the verifiers that score them.
Design and operate the backend infrastructure that runs environments at scale (containers, orchestration, queues, observability) — standard distributed-systems backend work, applied to a new domain.
Turn messy human data into clean, reproducible training environments.
Care about reliability and speed as much as correctness.
Own the interface with labs and researchers: translate a research goal into a system that exists next week.
We care more about what you've built than how long you've been building it.
2+ years of full-stack / backend engineering, including at least 1 year at a startup, ideally as a founding engineer, an early engineer at a fast-growing venture, or a founder yourself
Strong generalist with systems depth. We primarily use Python and seek engineers who are fluent in at least one language. Ideally, they should be skilled at applying agents with discernment and able to quickly adapt to different problem requirements.
Comfortable around ML/LLM concepts. Not an ML background, but enough working knowledge of post-training, evals, and reward modeling to partner with researchers and translate their specs into systems.
Thrives in ambiguity. You scope your own work, make pragmatic calls, and ship without a spec handed to you.
Ability to raise the bar around you. Coaching engineers and driving execution, while staying in the code
Bonus, not required: sandboxing or virtualization, browser and computer-use automation, CI/build systems, developer tooling.
Ownership, impact, and building frontier tech are what motivate you
Your work is a craft you want to master
You thrive in ambiguity and like hard problems
You appreciate diverse perspectives and uncommon ideas
You're excited to build in person, 5 days a week, 10 am–8 pm ET, from our office at One World Trade
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Trust is the foundation of Mercor's marketplace. With hundreds of thousands of experts applying for jobs and over $XX million paid out every day, the integrity of who's on the platform and how they work directly determines the quality of the data we deliver to every lab and enterprise. Defending against adversarial, fast-moving threats is one of the highest-leverage problems at the company.
You'll own the fraud detection and enforcement product and policies end to end: the multi-agent system that scores risk across expert lifecycle stages; the signals that feed it; and the enforcement actions. You'll also own the operational edge of trust and safety, designing the workflows reviewers live in, developing the governing policies, and closing the loop between what we catch in production and what we build next.
Partner with engineering, data science, operations, legal, and GTM, and move fluidly between building operational systems, analyzing model changes and whether they actually improved business outcomes, and working directly with strategic customers.
This is a technical, customer-facing role for someone who is energized by problems with no fixed playbook, who cares about both the system and the humans operating it, and who wants to own a product area where the stakes and the impact are unusually hig
Work backwards from the business: Connect Trust and Safety decisions to Mercor long term health, expert trust, and client trust, and use that to prioritize business outcomes
Own the Trust and Safety product end-to-end: Set the roadmap for Mercor's Trust and Safety systems and own the lifecycle from signal detection to enforcement action.
Improve Detection quality: Work with data science and engineering to tune models, prompts, and signals against real caseloads driving down false positive rates while holding the line on false negatives and expand automated decisioning as accuracy improves.
Build the Operations Tooling: Design the products and workflows that our operations analysts use every day. Orient them around the action being taken, keep evidence bars and audit trails clear, and make high-severity calls defensible.
Get in the weeds: Write specs and PRDs, but also build dashboards, pull SQL, and make small PRs to unblock yourself and validate direction.
Experience: 5+ years in Product Management, Product Operations, Technical Program Management, Trust & Safety, Risk, Fraud, or a similar technical, operationally-minded role. Prior exposure to safety or integrity problems is a strong plus.
Technical Fluency: Comfortable with large datasets, AI agents, unblocking and accelerating engineering. Able to reason about how detection models and signals behave, and to hold your own in technical conversations with engineers and data scientists
Systems Thinking: A passion for building repeatable systems and fixing problems that span across multiple systems. Strong project management and cross-functional communication skills.
Ownership: Thrive in ambiguous, adversarial environments and take ownership from problem definition through execution. High accountability for outcomes, not just outputs.
Judgment: Comfortable weighing the cost of a false positive against a missed fraud case, and making the tradeoffs explicit and consistent.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Our agent platform is the core system Mercor uses to build, run, and showcase AI agents — the same platform our teams rely on internally every day and the one we demo live on customer calls. It is simultaneously our internal workbench and our external storefront.
As a Full Stack Software Engineer on the Agent Platform team, you'll own these journeys end-to-end: the React frontend people interact with and the backend services that orchestrate agents, data, and integrations. You'll be directly responsible for the enablement of hundreds of internal users who depend on the platform daily, and dozens of enterprise clients who run on it in production. Because what you build is used in-house and demoed to customers, it has to be both genuinely powerful and demo-ready polished.
This is a role for someone who cares equally about engineering craft and product impact: shipping scalable, reliable systems and intuitive interfaces that make everyone who touches the platform faster and more effective.
- Own the agent platform across the full stack — from the internal- and client-facing React interfaces to the backend APIs and services orchestrating agents, workflows, and integrations.
- Enable hundreds of internal users and dozens of enterprise clients — ship the features, reliability, and polish that make the platform their daily driver and a confident live demo.
- Build the foundational layer other teams depend on to stand up new agent use cases, task formats, and client configurations quickly and without rework.
- Ship high-leverage product features that raise both internal productivity and the customer-facing quality of the platform.
- Translate ambiguous requirements into well-scoped technical solutions through close collaboration with Applied AI researchers, product, design, and operations.
- 2+ years of fullstack engineering experience building and shipping production software.
- Deep proficiency in JavaScript/TypeScript (React + Next.js) and a strong grasp of frontend architecture, state management, and design patterns.
- Solid backend experience in Python and/or Node.js — designing and building relational databases, REST APIs, and async task infrastructure.
- Strong design sense and empathy for end-users; you hold a high bar for usability.
- Experience with complex, high-throughput systems — pipelines, large data volumes, or multi-tenant architectures.
- High ownership mindset; able to navigate ambiguity and drive projects from design through delivery.
- Strong communication skills and ability to articulate technical and product tradeoffs clearly.
- Experience building agent frameworks, LLM-powered products, or human-in-the-loop AI workflows.
- Background in design systems, developer-facing APIs, or internal platform engineering.
- Exposure to AI tools, real-time data, or data visualization.
- Experience at top-tier tech companies or fast-scaling startups.
- The platform you build is Mercor's core agent product — run internally and shown to every enterprise client.
- The systems you ship will be used daily by hundreds of internal users and dozens of enterprise clients.
- You'll help define how new agent use cases are built, delivered, and demonstrated at Mercor.
- Your work directly shapes both how Mercor works and how customers experience us.
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k Relocation bonus
- $10K proximity bonus (if you live within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\n\nABOUT THE ROLE\n\n\n\nOur agent platform is the core system Mercor uses to build, run, and showcase AI agents — the same platform our teams rely on internally every day and the one we demo live on customer calls. It is simultaneously our internal workbench and our external storefront.\n\n\n\nAs a Full Stack Software Engineer on the Agent Platform team, you'll own these journeys end-to-end: the React frontend people interact with and the backend services that orchestrate agents, data, and integrations. You'll be directly responsible for the enablement of hundreds of internal users who depend on the platform daily, and dozens of enterprise clients who run on it in production. Because what you build is used in-house and demoed to customers, it has to be both genuinely powerful and demo-ready polished.\n\n\n\nThis is a role for someone who cares equally about engineering craft and product impact: shipping scalable, reliable systems and intuitive interfaces that make everyone who touches the platform faster and more effective.\n\n\n\n\nYOU WILL\n\n\n\n - Own the agent platform across the full stack — from the internal- and client-facing React interfaces to the backend APIs and services orchestrating agents, workflows, and integrations.\n\n\n\n - Enable hundreds of internal users and dozens of enterprise clients — ship the features, reliability, and polish that make the platform their daily driver and a confident live demo.\n\n\n\n - Build the foundational layer other teams depend on to stand up new agent use cases, task formats, and client configurations quickly and without rework.\n\n\n\n - Ship high-leverage product features that raise both internal productivity and the customer-facing quality of the platform.\n\n\n\n - Translate ambiguous requirements into well-scoped technical solutions through close collaboration with Applied AI researchers, product, design, and operations.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\n - 2+ years of fullstack engineering experience building and shipping production software.\n\n\n\n - Deep proficiency in JavaScript/TypeScript (React + Next.js) and a strong grasp of frontend architecture, state management, and design patterns.\n\n\n\n - Solid backend experience in Python and/or Node.js — designing and building relational databases, REST APIs, and async task infrastructure.\n\n\n\n - Strong design sense and empathy for end-users; you hold a high bar for usability.\n\n\n\n - Experience with complex, high-throughput systems — pipelines, large data volumes, or multi-tenant architectures.\n\n\n\n - High ownership mindset; able to navigate ambiguity and drive projects from design through delivery.\n\n\n\n - Strong communication skills and ability to articulate technical and product tradeoffs clearly.\n\n\n\n\nNICE-TO-HAVES\n\n\n\n - Experience building agent frameworks, LLM-powered products, or human-in-the-loop AI workflows.\n\n\n\n - Background in design systems, developer-facing APIs, or internal platform engineering.\n\n\n\n - Exposure to AI tools, real-time data, or data visualization.\n\n\n\n - Experience at top-tier tech companies or fast-scaling startups.\n\n\n\n\nWHY THIS ROLE MATTERS\n\n\n\n - The platform you build is Mercor's core agent product — run internally and shown to every enterprise client.\n\n\n\n - The systems you ship will be used daily by hundreds of internal users and dozens of enterprise clients.\n\n\n\n - You'll help define how new agent use cases are built, delivered, and demonstrated at Mercor.\n\n\n\n - Your work directly shapes both how Mercor works and how customers experience us.\n\n\n\n\nBENEFITS\n\n\n\n - Bi-annual performance bonus structure\n\n\n\n - Generous equity grant vested over 4 years\n\n\n\n - Up to $15k Relocation bonus\n\n\n\n - $10K proximity bonus (if you live within 0.5 miles of our office)\n\n\n\n - $1.5K monthly stipend for meals\n\n\n\n - Free Equinox membership\n\n\n\n - $200 monthly laundry reimbursement\n\n\n\n - $200 monthly personal wellness reimbursement\n\n\n\n - Health, Dental, Vision insurance"},{"id":"aac13ab1-a746-437a-8c56-daf6e8b6c542","title":"Software Engineer, Search Systems - Code Data","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-14T00:00:27.043+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/aac13ab1-a746-437a-8c56-daf6e8b6c542","applyUrl":"https://jobs.ashbyhq.com/mercor/aac13ab1-a746-437a-8c56-daf6e8b6c542/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Some of the most valuable work on Mercor's platform is code—the tasks, problems, and solutions that train and evaluate the world's frontier coding models. As a Software Engineer for Code Search & Retrieval, you'll own the architecture and algorithms behind how we search across code tasks: finding similar tasks, routing them to the right models, and turning natural-language questions into precise retrieval.
Searching over code is a genuinely hard problem. Identifying similar code tasks—not just similar text—requires retrieval that understands structure, semantics, intent, and difficulty, far beyond what generic embeddings capture. You'll own that end to end: the vision is to search across code tasks at scale, identify and select the correct code-specific models for a given task, and translate NLP questions into search queries that return the right code and tasks.
This is a hands-on technical leadership role, not a management role. You'll design and build the retrieval systems that combine dense (code) embeddings and lexical (BM25) signals, and make the tradeoffs that let search stay fast and affordable at scale. Because Mercor operates at the frontier of data and models, you'll also own the hardest part of the problem: continuously evolving embeddings, models, and search quality as newer, state-of-the-art code models arrive—without regressing what already works.
As an engineer, your impact extends well beyond your own commits. You'll set the technical direction the rest of the org builds on, mentor and grow the engineers around you, and raise the bar for how we build.
Own the architecture of Mercor's code search and retrieval systems end to end—hybrid retrieval combining dense code embeddings and BM25, candidate generation, ranking, and re-ranking over code tasks.
Solve the hard problem of identifying similar code tasks—retrieval that captures code structure, semantics, intent, and difficulty rather than surface text.
Build the system that identifies and selects the correct code-specific models for a given task, and routes tasks to the right model.
Design natural-language-to-query translation that turns NLP questions into precise search over code and tasks.
Design and operate the indexing pipeline so the task index stays fresh and consistent as new tasks, solutions, and results arrive continuously—balancing incremental updates, full rebuilds, and real-time ingestion.
Make the cost-and-speed tradeoffs that keep search fast and economical at scale: embedding dimensionality and quantization, ANN index choice and parameters, caching, sharding, and serving infrastructure.
Build the systems and evaluation harnesses that let us continuously evolve embeddings, models, and search quality—safely swapping in new code models, re-embedding corpora, and A/B testing relevance as SOTA advances.
Define and drive the long-term technical strategy for code retrieval across the organization, and lead the highest-stakes design reviews.
Establish evaluation metrics, offline/online testing, and quality guardrails so search improvements are measurable and regressions are caught before they ship.
Stay deeply hands-on: prototype critical systems, ship production code, and unblock teams on their hardest retrieval and infrastructure problems.
Mentor and grow engineers—junior and senior—through design reviews, pairing, and clear technical writing, raising the technical bar across the org.
Partner with product, researchers, and engineering leadership on build-vs-buy decisions, platform investments, and technical hiring.
8+ years of professional software engineering experience, including 3+ years operating at a Senior level or above, with a Staff-level track record of org-wide technical impact.
Deep, hands-on expertise building search and retrieval systems: dense-embedding retrieval, lexical scoring (BM25/TF-IDF), hybrid ranking, and re-ranking.
Good to have but not required: Experience with code search or code understanding—retrieval over code, code embeddings, or working with code-specific models—and an appreciation for why matching similar code tasks is harder than matching text.
Strong understanding of the search algorithms and index internals—vector/ANN indices (e.g. HNSW, IVF, product quantization), inverted indices, and engines such as Elasticsearch/OpenSearch, Lucene, FAISS, or vector databases.
A track record of making the right cost-vs-speed tradeoffs: latency budgets, throughput, memory footprint, and infrastructure spend on high-QPS systems.
Familiarity translating natural-language questions into structured search queries (query understanding, semantic parsing, or LLM-assisted query generation).
Excellent systems fundamentals: distributed systems, data modeling, and API design at scale.
Demonstrated technical leadership and mentorship—you've helped junior and senior engineers grow and level up an engineering team.
Genuine excitement for agentic development and new technology, fluency with modern AI dev tools (e.g. Claude Code, Cursor, Copilot), and a deep passion for writing great code.
Excellent communication—able to make complex tradeoffs legible to both engineers and leadership. Strong opinions, loosely held. High ownership, pragmatism, and a bias toward shipping.
Experience training or fine-tuning code embedding models or code-specific LLMs.
Experience with learning-to-rank, semantic search, or recommendation systems in production.
Familiarity with LLM-based retrieval, RAG patterns, and model routing/selection.
Background operating latency-critical services on modern cloud and orchestration infrastructure.
Impact: Own the code search systems that decide how well Mercor finds, routes, and evaluates the code tasks training the world's frontier models, at a company scaling faster than almost any in its category.
Ownership: Org-wide technical scope with a direct line to engineering leadership and real authority over technical direction.
Learning: Work alongside world-class engineers, product leaders, and AI researchers building at the frontier of AI.
Growth: Shape the engineering organization itself—its standards, its architecture, and its next generation of technical leaders.
Generous equity grant vested over 4 years
Up to $15K relocation bonus (if moving to the Bay Area)
A $10K housing bonus (if you live within 0.5 miles of our office)
A $1.5K monthly stipend for meals
Free Equinox membership
Health insurance
Mercor is an equal opportunity employer. We work in-person five days a week in our San Francisco office.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\n\nABOUT THE ROLE\n\nSome of the most valuable work on Mercor's platform is code—the tasks, problems, and solutions that train and evaluate the world's frontier coding models. As a Software Engineer for Code Search & Retrieval, you'll own the architecture and algorithms behind how we search across code tasks: finding similar tasks, routing them to the right models, and turning natural-language questions into precise retrieval.\n\nSearching over code is a genuinely hard problem. Identifying similar code tasks—not just similar text—requires retrieval that understands structure, semantics, intent, and difficulty, far beyond what generic embeddings capture. You'll own that end to end: the vision is to search across code tasks at scale, identify and select the correct code-specific models for a given task, and translate NLP questions into search queries that return the right code and tasks.\n\nThis is a hands-on technical leadership role, not a management role. You'll design and build the retrieval systems that combine dense (code) embeddings and lexical (BM25) signals, and make the tradeoffs that let search stay fast and affordable at scale. Because Mercor operates at the frontier of data and models, you'll also own the hardest part of the problem: continuously evolving embeddings, models, and search quality as newer, state-of-the-art code models arrive—without regressing what already works.\n\nAs an engineer, your impact extends well beyond your own commits. You'll set the technical direction the rest of the org builds on, mentor and grow the engineers around you, and raise the bar for how we build.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the architecture of Mercor's code search and retrieval systems end to end—hybrid retrieval combining dense code embeddings and BM25, candidate generation, ranking, and re-ranking over code tasks.\n\n - Solve the hard problem of identifying similar code tasks—retrieval that captures code structure, semantics, intent, and difficulty rather than surface text.\n\n - Build the system that identifies and selects the correct code-specific models for a given task, and routes tasks to the right model.\n\n - Design natural-language-to-query translation that turns NLP questions into precise search over code and tasks.\n\n - Design and operate the indexing pipeline so the task index stays fresh and consistent as new tasks, solutions, and results arrive continuously—balancing incremental updates, full rebuilds, and real-time ingestion.\n\n - Make the cost-and-speed tradeoffs that keep search fast and economical at scale: embedding dimensionality and quantization, ANN index choice and parameters, caching, sharding, and serving infrastructure.\n\n - Build the systems and evaluation harnesses that let us continuously evolve embeddings, models, and search quality—safely swapping in new code models, re-embedding corpora, and A/B testing relevance as SOTA advances.\n\n - Define and drive the long-term technical strategy for code retrieval across the organization, and lead the highest-stakes design reviews.\n\n - Establish evaluation metrics, offline/online testing, and quality guardrails so search improvements are measurable and regressions are caught before they ship.\n\n - Stay deeply hands-on: prototype critical systems, ship production code, and unblock teams on their hardest retrieval and infrastructure problems.\n\n - Mentor and grow engineers—junior and senior—through design reviews, pairing, and clear technical writing, raising the technical bar across the org.\n\n - Partner with product, researchers, and engineering leadership on build-vs-buy decisions, platform investments, and technical hiring.\n\n\nWHAT WE'RE LOOKING FOR\n\n - 8+ years of professional software engineering experience, including 3+ years operating at a Senior level or above, with a Staff-level track record of org-wide technical impact.\n\n - Deep, hands-on expertise building search and retrieval systems: dense-embedding retrieval, lexical scoring (BM25/TF-IDF), hybrid ranking, and re-ranking.\n\n - Good to have but not required: Experience with code search or code understanding—retrieval over code, code embeddings, or working with code-specific models—and an appreciation for why matching similar code tasks is harder than matching text.\n\n - Strong understanding of the search algorithms and index internals—vector/ANN indices (e.g. HNSW, IVF, product quantization), inverted indices, and engines such as Elasticsearch/OpenSearch, Lucene, FAISS, or vector databases.\n\n - A track record of making the right cost-vs-speed tradeoffs: latency budgets, throughput, memory footprint, and infrastructure spend on high-QPS systems.\n\n - Familiarity translating natural-language questions into structured search queries (query understanding, semantic parsing, or LLM-assisted query generation).\n\n - Excellent systems fundamentals: distributed systems, data modeling, and API design at scale.\n\n - Demonstrated technical leadership and mentorship—you've helped junior and senior engineers grow and level up an engineering team.\n\n - Genuine excitement for agentic development and new technology, fluency with modern AI dev tools (e.g. Claude Code, Cursor, Copilot), and a deep passion for writing great code.\n\n - Excellent communication—able to make complex tradeoffs legible to both engineers and leadership. Strong opinions, loosely held. High ownership, pragmatism, and a bias toward shipping.\n\n\nNICE TO HAVE\n\n - Experience training or fine-tuning code embedding models or code-specific LLMs.\n\n - Experience with learning-to-rank, semantic search, or recommendation systems in production.\n\n - Familiarity with LLM-based retrieval, RAG patterns, and model routing/selection.\n\n - Background operating latency-critical services on modern cloud and orchestration infrastructure.\n\n\nWHY MERCOR\n\n - Impact: Own the code search systems that decide how well Mercor finds, routes, and evaluates the code tasks training the world's frontier models, at a company scaling faster than almost any in its category.\n\n - Ownership: Org-wide technical scope with a direct line to engineering leadership and real authority over technical direction.\n\n - Learning: Work alongside world-class engineers, product leaders, and AI researchers building at the frontier of AI.\n\n - Growth: Shape the engineering organization itself—its standards, its architecture, and its next generation of technical leaders.\n\n\nBENEFITS\n\n - Generous equity grant vested over 4 years\n\n - Up to $15K relocation bonus (if moving to the Bay Area)\n\n - A $10K housing bonus (if you live within 0.5 miles of our office)\n\n - A $1.5K monthly stipend for meals\n\n - Free Equinox membership\n\n - Health insurance\n\nMercor is an equal opportunity employer. We work in-person five days a week in our San Francisco office."},{"id":"35e1923b-3c1c-4bb4-94d6-ef3a529ef871","title":"Member of Technical Staff, Enterprise Evals Platform","department":"Engineering","team":"Core Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-15T00:48:20.441+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/35e1923b-3c1c-4bb4-94d6-ef3a529ef871","applyUrl":"https://jobs.ashbyhq.com/mercor/35e1923b-3c1c-4bb4-94d6-ef3a529ef871/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Enterprise agents are complex systems, and they only pay off when their work is reliable and economically viable. Evaluation is how you get both: checking correctness is the obvious case, and routing is the subtler one, since choosing a model against cost, latency, and quality requires quality to be measurable at all. Knowing where the bar sits is the hard part. You decompose real work, take the standard from the practitioners who hold it, and encode it so an agent cannot shortcut it.
You will apply what Mercor has learned building benchmarks with domain experts, and devise new methods, so that evals and rubrics keep improving and so do the agents measured against them.
That work only scales with a platform behind it. This is a platform engineering role with good depth of understanding in evals. You will build the verifiers, the environments agents are measured in, and the grading infrastructure that runs at scale, abstracted across customers, domains, and tasks so that every run becomes evidence the next agent inherits instead of starting over.
Read more about how we think about this: Agent Eval Systems
Define golden sets: decompose real tasks and encode the expert quality bar.
Build verifiers over agent trajectories and outputs, calibrated and hard to game.
Build the eval platform that runs offline environments, task suites, and grading at scale.
Run loss analysis over production trajectories and turn failure modes into regression tests.
Run the optimization loop across models, prompts, skills, and harnesses.
Own the rollout gates that decide whether an agent change ships.
Partner with the Enterprise Platform team and the Applied AI engineers embedded with customers.
Professional, academic, or research experience in agent engineering and evaluation, including how agent runtimes and harnesses produce a trajectory and where it fails.
Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics, Computer Engineering, Information Systems or Statistics
1–5 years in industry level software engineering
Experience building evaluation suites for LLM or agent systems, and familiarity with how benchmarks such as terminal-bench, tau-bench, and APEX are constructed and where they get gamed.
Judgment about task and rubric design: turning a fuzzy notion of quality into something measurable, with agent or model improvements to show for it.
Strong software engineering fundamentals, and the ability to work independently on ambiguous, loosely specified problems.
Bonus: experience with Harbor environments and RL environments.
Impact: No agent reaches an enterprise customer without clearing the bar you set.
Learning: Eval work spanning frontier model measurement and live enterprise deployments, on production trajectories few teams get to see.
Growth: Research and systems in one role, with fast paths to owning the eval system end to end.
Up to $15k relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Generous equity grant vested over 4 years
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor’s AI Productivity Index (APEX) assesses how effectively frontier AI models can perform economically valuable work. We're looking for a Product Manager to own and scale the APEX brand and public leaderboard. In this role, you will define the positioning, strategy, roadmap, and operational excellence of Mercor's evaluation products, benchmarks, and public and private leaderboards. You will work across Research, Engineering, Operations, and Go-To-Market teams to transform evaluation datasets into trusted industry benchmarks that influence model development and purchasing decisions across the AI ecosystem.
You will serve as the product owner for APEX and our eval platform, driving benchmark innovation, evaluation integrity, infrastructure, customer adoption, and business impact. You will work directly with frontier AI labs and enterprise customers, representing Mercor as a thought leader in AI evaluation and measurement. You will partner with Mercor’s world-class benchmark research team, which includes the first authors from many popular benchmarks including Tau Bench, SciCode, PostTrainBench, and more.
The ideal candidate combines strong product judgment, technical fluency, operational rigor, and customer-facing experience, with a passion for turning emerging model capabilities into a credible measure of what AI can actually do for the economy.
Own the roadmap and portfolio strategy: Set and influence priorities across new benchmark development, leaderboard launches, infrastructure investment, and expansion into new evaluation categories. Decide which domains earn a slot, when a benchmark has saturated, and what replaces it. Identify opportunity areas for strategic partnership.
Run the intake for new benchmarks: Evaluate and prioritize proposals from research, customers, and GTM against real demand and company strategy.
Enforce eval integrity: Own contamination policy, holdout strategy, versioning, auditability, and release cadence. Publish methodology clearly enough that a skeptical researcher can reconstruct our results.
Build end-to-end eval pipeline: Own the path from eval run to published result, including harness execution, grading, model onboarding, hyperparameter scaffolds, cost and latency reporting, and the leaderboard surface itself.
Work directly with labs and customers: Understand evaluation needs, present and defend results, and turn what you hear into the next benchmark. Support GTM on launches, partnerships, and thought leadership to influence customer model development strategies.
Close the loop to the business: Connect leaderboard demand signals to loss analysis investments and dataset production. Track adoption, usage, and downstream revenue to continuously justify leaderboard ROI.
Get in the weeds: Write specs and PRDs, but also read trajectories, spot-check failures, and make small PRs to unblock yourself and continuously improve the system.
Experience: 5+ years in product management, technical program management, or a customer-facing technical role. Prior background in SWE, ML, or DS strongly preferred.
Eval literacy: You reason fluently about rubric design, inter-rater reliability, agentic harnesses, contamination and overfitting, and what a small sample can and can't support. You can tell a real capability gap from measurement noise.
Public judgment: You'll publish numbers about other people's models. You know how to be neutral, precise, and defensible under scrutiny.
Taste for what matters: Strong instincts for which capabilities are actually worth measuring, and what results are actually worth highlighting.
Entrepreneurial: A track record of building a product, program, or business line from nothing.
High Ownership: You take full accountability for outcomes, not just outputs.
Independence: Able to self-direct in ambiguous contexts, creating clarity for others.
Stakeholder alignment: You can bring research, engineering, operations, and GTM around a shared methodology.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Own the evolution of Mercor’s brand identity across every external and internal touchpoint, from campaigns and launches to web, social, and events
Translate complex ideas about AI, talent, and work into clear, compelling visual systems
Create polished, high-impact brand assets, including landing pages, decks, social graphics, ads, illustrations, event collateral, and product marketing visuals
Develop and maintain a distinctive, modern visual language
Partner closely with marketing, product, recruiting, and leadership to bring Mercor’s story to life across channels
Help build a scalable brand system, templates, and guidelines that make the company look consistently excellent as we grow
Bring strong taste, speed, and originality to a fast-moving team with a high creative bar
Strong portfolio demonstrating exceptional visual design, brand systems, typography, layout, and storytelling
Passion for building brands that feel distinctive, polished, and culturally relevant
5+ years in brand, visual, or graphic design, ideally at fast-moving startups, agencies, or high-bar creative teams
Experience designing across web, social, campaigns, decks, and marketing surfaces
Proven ability to operate autonomously, take ambiguous ideas, and turn them into excellent creative work
Strong taste, attention to detail, and ability to move quickly without sacrificing quality
Bonus: Experience designing for AI, marketplaces, recruiting, fintech, or other complex technical products
At Mercor, we recognize that exceptional ability comes in all forms, a core philosophy on which we built our platform. Because of this, we welcome candidates from diverse backgrounds with unique experiences and transferable skill sets, even if they don’t meet all the preferred qualifications listed above.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Research Engineer at Mercor, you’ll work at the intersection of engineering and applied AI research. You’ll own benchmarking pipelines, evaluation systems, and failure analysis workflows that directly inform how we train and improve frontier language models.
Your work will define how we measure tool use, agentic behavior, and real-world reasoning. You’ll design and run evals, build rubrics and scorers, and turn failure analysis into actionable improvements for post-training, RLVR, and data pipelines.
Benchmarking: Design, implement, and maintain benchmarks and metrics for tool use, agentic behavior, and real-world reasoning; ensure benchmarks scale with training and stay aligned with product and research goals.
Evaluation systems: Build and operate LLM evaluation systems end-to-end runs, scoring, dashboards, and reporting, so researchers and applied AI teams can track model performance and compare runs at scale.
Failure analysis: Run systematic failure analysis on model outputs (e.g., wrong tool use, reasoning errors, safety/alignment issues); categorize failure modes, quantify prevalence, and feed findings into reward design, data curation, and benchmark design.
Rubrics and evaluators: Create and refine rubrics, automated evaluators, and scoring frameworks that drive training and evaluation decisions; balance rigor with scalability (human vs. model-as-judge, calibration, agreement).
Data quality and usability: Quantify data usability, quality, and impact on key benchmarks; use evals and failure analysis to guide data generation, augmentation, and curation.
Cross-team collaboration: Work with AI researchers, applied AI teams, and data producers to align evals with training objectives and to prioritize benchmarks and failure analyses that matter most.
Ownership in a fast-paced environment: Operate in a high-iteration research setting with strong ownership of benchmarks, evals, and failure-analysis workflows.
Strong applied research background, with focus on model evaluation, benchmarking, and/or failure analysis.
Strong coding skills and hands-on experience with ML models and evaluation code.
Solid grasp of data structures, algorithms, and backend systems.
Comfort with APIs, SQL/NoSQL, and cloud platforms for running and storing eval results.
Ability to reason about model behavior, experimental results, and data quality from evals and failure analyses.
Excitement to work in person in San Francisco five days a week in a high-intensity, high-ownership environment.
Industry experience on a post-training or evaluation/benchmarking team (highest priority).
Publications at top-tier venues (NeurIPS, ICML, ACL), especially in evaluation or benchmarking.
Experience building or running LLM evaluations, benchmarks, or failure-analysis pipelines.
Experience with synthetic data generation, rubric design, or RL-style workflows that use evals for reward shaping.
Work samples or code (e.g., eval frameworks, benchmark suites, failure-analysis reports or tooling) that demonstrate relevant skills.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
The Mercor Enterprise Platform is what enterprise customers and our Applied AI engineers use to build and run complex agents. It is both deployed into customer environments and hosted by us. It is also the central platform for every internal agent at Mercor, scaling to several thousand agent runs per day, and still growing.
You will work across the full stack: enterprise-grade security and the routing plane, isolated execution, and the intelligence plane that turns production runs into improvements. This is a pure platform and infrastructure engineering role, though you will work closely with the Applied AI engineers embedded with our customers. The quality of this platform bounds what the business can sell.
Nobody has settled how agent platforms should be built, and this is one of the few places that question is being answered in production, with economically viable agents as the bar.
Tech we use: Go, TypeScript, Postgres, Kubernetes, Harbor, and Terraform.
Read more about how we think about this: The Three Planes of Enterprise Agent Systems
Design, build, and operate the services the platform is made of: authn and authz, credential brokering, routing, sandboxing, and orchestration.
Design the interfaces other engineers build agents against, and keep the paved path the easiest one to follow.
Build the event-driven backbone so that ingestion stays idempotent when services scale horizontally.
Own the deployment model itself, from our hosted offering to customer VPCs and multi-cloud, so a new deployment needs no bespoke build.
Keep tenants isolated by construction, so one run cannot reach or spend beyond its own quota.
Own latency, throughput, and cost per run as volume grows, along with the production debugging that comes with them.
Set the direction for the parts of the platform you own, not just the implementation.
Partner closely with Applied AI engineers on the hardest problems coming out of deployments. They own the customer relationship, you own the platform.
Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics, Computer Engineering, Information Systems or Statistics
5+ years of experience building high scale, complex software systems
You have built and operated a platform other engineers depended on, and owned the architectural calls on it rather than only the implementation.
Hands-on with several of these primitives: authn and authz, secrets, isolation, orchestration, egress, and durable state, in more than one cloud.
A drive to keep making systems faster and cheaper after they already work.
Demonstrated ability to work independently on ambiguous, loosely specified problems.
Bonus: experience with LLM applications, agent frameworks or harnesses, evals, or deployed software.
Impact: Every agent Mercor runs for an enterprise customer runs on the platform you build.
Learning: Depth in agent infrastructure, and the isolation problems that come with running other people's code.
Growth: Deep ownership of platform surface area, with fast paths to owning more of it.
Up to $15k relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Generous equity grant vested over 4 years
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
We’re looking for a Senior HR Business Partner to support our Engineering and Product teams.
This is a role for someone who wants to be close to the business. You’ll work directly with leaders and managers on the people decisions that matter most as their teams grow: developing exceptional talent, building stronger managers, designing organizations, raising the performance bar and solving difficult people problems quickly.
You’ll also help build the systems behind that work. Mercor is still early, and many of the development programs and talent practices we need do not exist yet. We’re looking for someone who has built from 0 to 1 before and is excited to do it again.
Partner directly with Engineering and Product leaders on talent, organizational and people decisions.
Coach managers on performance, feedback, team effectiveness, development and difficult employee situations.
Identify what our highest-performing employees need to continue growing at Mercor and turn those needs into practical development opportunities.
Build development programs from 0 to 1, from identifying the problem through design, launch, adoption and iteration.
Partner with leaders on organizational design, role clarity, succession planning and talent movement as teams scale.
Run talent and performance processes for EPD while keeping the focus on judgment and outcomes rather than process for its own sake.
Spot patterns across teams and turn them into clear recommendations for leaders and the People team.
Work across Recruiting, People Operations and the broader People team to solve problems end to end.
Move quickly between strategic questions and hands-on execution. You should be equally comfortable advising a senior leader and building the first version of something yourself.
8+ years of strong HRBP experience: You have substantial experience partnering with Engineering, Product or similarly technical organizations and can build credibility with senior technical leaders.
Startup experience: You’ve worked in a fast-growing startup and understand the pace, ambiguity and changing needs that come with it.
0→1 builder: You have personally built and launched development, talent or manager programs where little or no infrastructure existed before.
Excellent judgment: You can work through complex people situations, identify what actually matters and make clear recommendations without relying on a playbook for every answer.
Manager coach: You can make managers better, including experienced leaders who expect their HR partner to challenge their thinking.
High performance orientation: You know how to differentiate performance, develop exceptional people and address performance issues directly.
Operator mindset: You are comfortable creating the strategy and doing the work required to get it into practice.
Low-ego and direct: You communicate clearly, earn trust quickly and care more about getting to the right answer than owning the answer.
In-person: You are able to work from our San Francisco office five days a week.
You’ll have the opportunity to shape how Engineering and Product teams develop as Mercor scales, while building many of the underlying People systems for the first time. This is a high-ownership role with direct access to leaders and the ability to see the impact of your work quickly.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\n\nABOUT THE ROLE\n\nWe’re looking for a Senior HR Business Partner to support our Engineering and Product teams.\n\nThis is a role for someone who wants to be close to the business. You’ll work directly with leaders and managers on the people decisions that matter most as their teams grow: developing exceptional talent, building stronger managers, designing organizations, raising the performance bar and solving difficult people problems quickly.\n\nYou’ll also help build the systems behind that work. Mercor is still early, and many of the development programs and talent practices we need do not exist yet. We’re looking for someone who has built from 0 to 1 before and is excited to do it again.\n\n\n\n\nWHAT YOU’LL DO\n\n - Partner directly with Engineering and Product leaders on talent, organizational and people decisions.\n\n - Coach managers on performance, feedback, team effectiveness, development and difficult employee situations.\n\n - Identify what our highest-performing employees need to continue growing at Mercor and turn those needs into practical development opportunities.\n\n - Build development programs from 0 to 1, from identifying the problem through design, launch, adoption and iteration.\n\n - Partner with leaders on organizational design, role clarity, succession planning and talent movement as teams scale.\n\n - Run talent and performance processes for EPD while keeping the focus on judgment and outcomes rather than process for its own sake.\n\n - Spot patterns across teams and turn them into clear recommendations for leaders and the People team.\n\n - Work across Recruiting, People Operations and the broader People team to solve problems end to end.\n\n - Move quickly between strategic questions and hands-on execution. You should be equally comfortable advising a senior leader and building the first version of something yourself.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - 8+ years of strong HRBP experience: You have substantial experience partnering with Engineering, Product or similarly technical organizations and can build credibility with senior technical leaders.\n\n - Startup experience: You’ve worked in a fast-growing startup and understand the pace, ambiguity and changing needs that come with it.\n\n - 0→1 builder: You have personally built and launched development, talent or manager programs where little or no infrastructure existed before.\n\n - Excellent judgment: You can work through complex people situations, identify what actually matters and make clear recommendations without relying on a playbook for every answer.\n\n - Manager coach: You can make managers better, including experienced leaders who expect their HR partner to challenge their thinking.\n\n - High performance orientation: You know how to differentiate performance, develop exceptional people and address performance issues directly.\n\n - Operator mindset: You are comfortable creating the strategy and doing the work required to get it into practice.\n\n - Low-ego and direct: You communicate clearly, earn trust quickly and care more about getting to the right answer than owning the answer.\n\n - In-person: You are able to work from our San Francisco office five days a week.\n\n\n\n\nWHY MERCOR\n\nYou’ll have the opportunity to shape how Engineering and Product teams develop as Mercor scales, while building many of the underlying People systems for the first time. This is a high-ownership role with direct access to leaders and the ability to see the impact of your work quickly."},{"id":"3980cf73-8af5-4bf7-a192-19d9aeb7e8bb","title":"Business Operations","department":"Finance ","team":"Finance ","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-25T04:41:08.044+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/3980cf73-8af5-4bf7-a192-19d9aeb7e8bb","applyUrl":"https://jobs.ashbyhq.com/mercor/3980cf73-8af5-4bf7-a192-19d9aeb7e8bb/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
Mercor is bringing on a Business Operations hire to drive high-quality execution across the company. You'll sit at the center of Delivery, Finance, Product, and GTM, owning the connective tissue that turns revenue potential into realized revenue. This is a high-leverage generalist role: you'll identify what's blocking the business, build the operating rhythms to surface it, and program manage the teams that fix it.
You'll work directly with leadership and have visibility into how every part of the business runs. If you like owning outcomes end-to-end, operating in ambiguity, and seeing your work show up directly in the company's growth trajectory, this is the role.
What You'll Do
Unblock Revenue: Partner with delivery teams to identify, prioritize, and manage the blockers standing between us and our revenue potential. Support the blocker process end-to-end — from surfacing issues to driving them to resolution with named owners and dates.
Operationalize Plans: Work with Finance to translate forecasts and growth levers into operational reality. Connect the financial plan to what teams are actually executing against, and flag gaps early.
Drive Product Velocity: Translate delivery blockers into clear, well-scoped product requirements, and program manage product teams to ensure timely delivery. You're accountable for making sure the most commercially important work ships on time.
Run the Operating Cadence: Support the company's business review rhythm — monthly business reviews, weekly execution check-ins, and the dashboards and trackers that keep leadership informed and teams accountable.
Shape Company Strategy: Work on initiatives that help shape and improve Mercor’s market positioning across offerings, product functionality, business lines, and talent
Special Projects: Take on a wide range of high-priority projects across GTM, Finance, and Operations as the business needs. The mandate is broad by design; you'll go wherever the leverage is.
What We're Looking For
1-4 years of experience in top-tier consulting, business operations, strategic finance, banking / private equity, or as a founder.
A degree from a top school.
Proficiency with data analytics and BI tools; you should be comfortable pulling and pressure-testing your own numbers.
Strong ability to partner with cross-functional stakeholders: this role requires engaging constructively with the entire business, from delivery teams to product to leadership.
Experience constructing metrics, KPIs, operating rhythms, and the processes that make organizations run well.
Comfort operating in ambiguity and driving outcomes without formal authority.
Can-do attitude!
Experience at a high-growth startup or in a role where you built operating cadences from scratch.
Familiarity with program management tooling (e.g., Linear) and Gantt-based roadmapping.
$15K relocation bonus (for moving to the Bay Area)
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
monthly laundry reimbursement
monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As Senior Product Manager, Payments, you'll own how Mercor moves over $4 million a day to hundreds of thousands of experts in nearly every country on earth. Getting people paid accurately, quickly, and in the way they expect is the single most important promise we make to our workforce.
You'll own the payments platform end-to-end with significant autonomy, working directly with engineering, finance, and leadership to turn ambiguous problems into shipped products. You'll balance long-term platform strategy with rapid execution, making decisions that directly shape expert trust, operational cost, and the company's bottom line.
Own the payout experience: Take full ownership of how experts get paid — from contract terms and time capture through disbursement, retries, and support resolution.
Build the ledger and money movement platform: Partner with engineering on the ledger, reconciliation, and payout automation that keep every dollar correct, traceable, and auditable at scale.
Expand global coverage: Grow the payout rails, methods, and currencies available to experts, weighing cost, speed, reliability, and local regulation market by market.
Understand the business: Work backwards from payout cost, failure rates, support volume, and expert retention to decide what gets built.
Get in the weeds: Write specs and PRDs, but also build the dashboards, dig through failed payouts, and make small PRs to unblock yourself.
Collaborate: Partner closely with engineering, finance, compliance, operations, and support to ship quickly without breaking trust.
Payouts and disbursement: Global money movement to experts across rails, methods, and currencies.
Ledger and reconciliation: The canonical record of what is owed, paid, and settled.
Contracts, rates, and earnings: How work converts into money owed, and how experts see it.
Payments operations: The tooling that lets a small team run payouts at enormous scale.
Experience: 6+ years in product management, with meaningful time on payouts or disbursements specifically — not only payments acceptance or checkout. Prior SWE, ML, or DS experience preferred.
Payments depth: Working knowledge of payout rails, ledgers and double-entry accounting, reconciliation, FX, KYC, and tax and compliance requirements across markets.
High Ownership: You take full accountability for outcomes, not just outputs — including when money moves incorrectly.
Independence: Able to self-direct in ambiguous contexts, creating clarity for others.
Technical Fluency: Comfortable building scrappy MVPs, querying the data yourself, and reading enough code to unblock engineering.
User Obsession and Understanding: Talks to experts, operators, and finance partners frequently, and knows how to conduct real user research.
Balance of Metrics & Vision: Equally comfortable running rigorous experiments and pushing forward visionary bets.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.
About the Role
Frontier AI companies are increasingly bottlenecked on expert judgment and high-quality data workflows. This team builds the production systems that capture, coordinate, and validate that work at scale — directly between a customer request and the output that ships.
These are long-running, stateful systems. A single job can stay live for days, interleaving automated steps, model inference, and expert review. A step marked \"done\" can be reopened, re-reviewed, and redone — so \"completed\" is not always final, state has to tolerate late mutation, and correctness has to survive humans and models disagreeing with each other.
This is a backend systems and orchestration problem: distributed state machines, not pipelines. The architecture is not set. Early engineers will decide what it becomes, and the loop between \"I shipped this\" and \"this mattered\" is short.
What You'll Do
Design services and state models for multi-stage workflows that fan out across automated processing and expert reviewers, then reconcile results into a coherent whole
Build orchestration primitives — retries, failure recovery, idempotency, auditable state transitions — for jobs that run far longer than a request and can be partially redone after the fact
Integrate model inference into production workflows without sacrificing debuggability or human oversight
Build the APIs and tooling that let product, operations, and ML teams operate, debug, and trust these systems at scale
Own reliability and observability for workflows where a silent failure means a corrupted result, not just a 500
What Makes This Role Different
You are building the core infrastructure that sits directly between customer requests and the outputs that ship — not internal tooling, not a support system
This product area is young and strategically central; early engineers are deciding the architecture, not inheriting it
The inputs are non-deterministic by nature — you are building durable orchestration over humans and models that can disagree with each other on hour 40 of a multi-stage job
Day-to-Day
Moving fast on genuinely hard systems problems — ambiguity is the default, not the exception
Working closely with product, operations, and ML teams to translate a tangle of constraints into clean system design
Debugging complex stateful workflows where the failure surface spans automated steps, model calls, and human reviewers
Owning your systems end-to-end: design, ship, operate, improve
What We're Looking For
Production backend experience with strong opinions about what ages well and why
Sharp instincts for system design, service boundaries, and where to put complexity — and where to refuse it
Fluency with the distributed systems toolkit: async workflows, queues, idempotency, retries, and long-running jobs as practice, not resume line items
Ability to take ambiguous product, operational, and ML constraints and turn them into a system that is clean and debuggable
Comfort working in Python on AWS with Postgres; experience with Temporal or similar workflow engines is a plus
You're likely someone who:
Gets frustrated by systems that are hard to debug and takes that personally enough to fix it
Has strong opinions about where state should live and can defend them in a design review
Moves fast but doesn't treat reliability as someone else's problem
Wants your work to have a short, visible line to outcomes that actually matter to customers
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
Mercor is a profitable Series C company valued at $10 billion. We work in person five days a week at our new New York Office at One World Trade Center.
About the Role
As a Backend Engineer at Mercor, you will build core platform systems that make our operations secure, reliable, and scalable. This role focuses on two critical areas: Contracts and Identity & Access.
Contracts: Build the backend infrastructure that enables flexible ways for our network of Experts to perform work and get paid. This work expands our product capabilities and supports the development of higher-quality foundational models.
Identity & Access: Design and maintain systems that provision and deprovision access just-in-time, ensuring Experts can securely perform a wide range of tasks across the platform.
You’ll work on foundational systems that sit at the heart of Mercor’s platform, requiring strong ownership, sound architectural judgment, and a focus on security and reliability.
This role is a strong fit for a generalist backend engineer who enjoys building core systems end-to-end. Experience with identity systems or enterprise access management is a strong plus.
You will:
Develop robust infrastructure for platform operations, including systems that support complex contract-related workflows, payouts, fraud, and more.
Work closely with engineering leads and cross-functional partners to translate operational needs into reliable, scalable backend services.
Improve security, reliability, and developer ergonomics across the systems that underpin Mercor's platform.
Contribute to a fast-moving engineering organization where strong backend engineers may flex across teams and high-priority platform initiatives.
What We're Looking For
2+ years experience building building production systems at scale.
Experience with identity, access control, or enterprise access management systems is a strong plus.
Ability to work across ambiguous requirements and deliver practical, reliable systems quickly.
High ownership mindset and willingness to work on foundational problems that support many parts of the business.
Why Mercor
Impact: Your work will strengthen the core systems that power Mercor's platform and enable secure, scalable operations.
Breadth: You'll work on foundational backend problems with exposure to identity, security, internal tooling, and platform infrastructure.
Growth: You'll join a fast-moving team with significant ownership and room to expand into increasingly critical technical challenges.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
We're looking for a strong engineer who can build agentic products that scale. You will work with:
Backend: Python, FastAPI, Django, Pydantic
Frontend: Next.js, React, TypeScript, Tailwind
Data: PostgreSQL, MySQL, Snowflake, DuckDB, Redis
Orchestration/Infra: Kubernetes, Temporal, Modal, Woz
Agents/LLM: LangGraph, LangChain, FastMCP, Harbor, NemoGym
Observability: Datadog, PostHog, LangSmith
At the end of the process, you’ll be team-matched to where you can have the most impact, on one of the following:
Automation – We build intelligent systems and agents that automate operational work at scale—handling talent management, decision-making insights, and knowledge access—so humans can focus on higher-level thinking.This is a newly formed, CEO-facing team focused on 0→1 product development, with a strong emphasis on business impact. The work is highly cross-functional, touching nearly every system across the company.
Studio – We own Mercor’s evaluation system & annotation platform for RL environments and tasks. We build harnesses, agents, verifiers, and the end-to-end infrastructure for producing frontier data. Our mission is to scale up high quality RL environments/tasks and expand their capabilities. We work closely with researchers at frontier AI labs to jointly shape the direction of next-generation models.
What You’ll Do
Own agentic features end-to-end — from scoping with researchers/ops partners through implementation, launch, and iteration on real customer feedback.
Design and ship LLM agents, harnesses, and verifiers — including the tools, prompts, and policies that make them reliable.
Build the Python/FastAPI services and Temporal/Modal pipelines that orchestrate agent runs, human-in-the-loop review and iterations.
Build state of the art RL environments that expand the capabilities of frontier agents, with realistic enterprise apps, simulated coworkers, and rich company data rooms that support tasks spanning hours to days.
Build tooling that turns agent trajectories into insight, from statistical analysis to automated failure mode detection.
Build and refine the full-stack surfaces and data infrastructure — craft Next.js/React interfaces where operators and experts work with agents, evolve data models to give agents the structured context and audit trails they need.
Define agent quality and drive continuous improvement — build evals, instrument traces, analyze failure modes, and iterate on prompts, tools, and guardrails while raising the bar for reliability, cost, latency, and UX.
Partner cross-functionally to shape agent autonomy — work with Product, Design, Research and Ops to draw the lines between autonomous action, propose-and-approve flows, and human-in-the-loop decisions.
Why Mercor
Impact: Your work powers how the world’s leading AI labs train and test their models.
Learning: Get early insights into frontier model capabilities months before the market.
Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
We’re looking for a Research Scientist to lead the design of the next generation of APEX benchmarks and the expert-built datasets behind them.
APEX is the AI Productivity Index: a family of benchmarks that measures whether frontier models can do economically valuable professional work. APEX-1 covers single-turn tasks across investment banking, corporate law, consulting and medicine. APEX-Agents tests multi-hour, cross-application agentic work in real tools. APEX-Accounting and APEX-SWE extend that into accounting and real-world software engineering. Every task is written and graded by practicing experts on the Mercor platform, and the results are published as papers, open datasets, and public leaderboards that frontier labs watch.
This is a highly visible role at the intersection of research, company strategy, and go-to-market. You’ll decide what to measure next based on where frontier models are actually failing, design the benchmark and its scoring, work with academic and industry partners to build it, then partner with data operations, product and GTM to scale production. You’ll also be a credible technical voice externally — with labs, partners, prospects and the broader research community.
Mercor is still early on the research side. Much of the methodology, tooling and publishing practice we need does not exist yet. We’re looking for someone who wants to build it.
Benchmark design: Decide what the next APEX benchmark should measure, based on frontier model performance, saturation of existing evals, and where economically valuable work is still out of reach. Own the task taxonomy, difficulty calibration, contamination controls and statistical design.
Dataset design: Design expert-built datasets and grading rubrics at scale — deciding what makes a task hard, what makes a grade defensible, and how to hold quality while thousands of experts produce work in parallel.
Measurement rigor: Set the standard for how we report results: confidence intervals, inter-rater agreement, human vs. model-as-judge calibration, held-out splits, and the failure analysis that explains why a model scored the way it did.
Partnerships: Work with academic collaborators and industry partners (as we did with Cognition on APEX-SWE) to co-design benchmarks and get them adopted.
External research voice: Publish — arXiv papers, open datasets, blog posts, conference talks, leaderboard releases — and represent Mercor’s research in conversations with frontier labs, customers and the press.
Translate results into narrative: Turn benchmark findings into clear arguments about the ROI of expert-curated data, for technical reports, customer conversations and go-to-market material.
Cross-functional work: Partner with data operations, engineering, product and strategy to take a benchmark from design to production, and to surface research findings that shape the company roadmap.
Stay at the frontier: Track the LLM evaluation literature and bring what’s good into how Mercor builds benchmarks.
Research background in evaluation: Strong applied or academic research background in LLM evaluation, benchmarking, NLP or a related field, with a track record of rigorous experimental design.
Judgment about what to measure: You can look at a frontier model’s behavior and identify the measurement that would actually be informative, rather than the one that is easiest to build.
Statistical rigor: You reason carefully about sampling, variance, contamination and grader reliability, and you don’t ship a number you can’t defend.
Hands-on: Strong coding skills. You can build an eval harness, run the experiment and analyze the results yourself.
Exceptional communication: You can present complex technical findings clearly to frontier lab researchers and to non-technical audiences, in writing and in person.
Comfort with ambiguity: You’ve operated in fast-moving, cross-functional environments where the problem space is not yet defined.
Interest in the commercial side: Genuine curiosity about GTM strategy, startup dynamics and the business of AI data — this role sits close to all three.
In-person: You are excited to work from our San Francisco office five days a week in a high-intensity, high-ownership environment.
Ph.D. in machine learning, NLP or a related field; equivalent industry or frontier lab research experience considered.
Publications at top-tier venues (NeurIPS, ICML, ACL, ICLR), especially in evaluation, benchmarking or data-centric AI.
Experience authoring a widely-adopted public benchmark or dataset.
Industry experience on an evaluation, benchmarking or post-training team at a frontier lab.
Domain depth in one of APEX’s professional verticals — finance, law, consulting, accounting, medicine or software engineering.
Experience designing rubrics, model-as-judge pipelines, or human annotation programs at scale.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
APEX results are read by the labs building the models. You’ll decide what the industry measures next, publish it under your own name, and see it move the conversation within weeks rather than years — with the expert network, capital and engineering support to build benchmarks nobody else can.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\n\nABOUT THE ROLE\n\nWe’re looking for a Research Scientist to lead the design of the next generation of APEX benchmarks and the expert-built datasets behind them.\n\n\n\nAPEX is the AI Productivity Index: a family of benchmarks that measures whether frontier models can do economically valuable professional work. APEX-1 covers single-turn tasks across investment banking, corporate law, consulting and medicine. APEX-Agents tests multi-hour, cross-application agentic work in real tools. APEX-Accounting and APEX-SWE extend that into accounting and real-world software engineering. Every task is written and graded by practicing experts on the Mercor platform, and the results are published as papers, open datasets, and public leaderboards that frontier labs watch.\n\n\n\nThis is a highly visible role at the intersection of research, company strategy, and go-to-market. You’ll decide what to measure next based on where frontier models are actually failing, design the benchmark and its scoring, work with academic and industry partners to build it, then partner with data operations, product and GTM to scale production. You’ll also be a credible technical voice externally — with labs, partners, prospects and the broader research community.\n\n\n\nMercor is still early on the research side. Much of the methodology, tooling and publishing practice we need does not exist yet. We’re looking for someone who wants to build it.\n\n\n\n\n\n\nWHAT YOU’LL DO\n\n - Benchmark design: Decide what the next APEX benchmark should measure, based on frontier model performance, saturation of existing evals, and where economically valuable work is still out of reach. Own the task taxonomy, difficulty calibration, contamination controls and statistical design.\n\n - Dataset design: Design expert-built datasets and grading rubrics at scale — deciding what makes a task hard, what makes a grade defensible, and how to hold quality while thousands of experts produce work in parallel.\n\n - Measurement rigor: Set the standard for how we report results: confidence intervals, inter-rater agreement, human vs. model-as-judge calibration, held-out splits, and the failure analysis that explains why a model scored the way it did.\n\n - Partnerships: Work with academic collaborators and industry partners (as we did with Cognition on APEX-SWE) to co-design benchmarks and get them adopted.\n\n - External research voice: Publish — arXiv papers, open datasets, blog posts, conference talks, leaderboard releases — and represent Mercor’s research in conversations with frontier labs, customers and the press.\n\n - Translate results into narrative: Turn benchmark findings into clear arguments about the ROI of expert-curated data, for technical reports, customer conversations and go-to-market material.\n\n - Cross-functional work: Partner with data operations, engineering, product and strategy to take a benchmark from design to production, and to surface research findings that shape the company roadmap.\n\n - Stay at the frontier: Track the LLM evaluation literature and bring what’s good into how Mercor builds benchmarks.\n\n\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - Research background in evaluation: Strong applied or academic research background in LLM evaluation, benchmarking, NLP or a related field, with a track record of rigorous experimental design.\n\n - Judgment about what to measure: You can look at a frontier model’s behavior and identify the measurement that would actually be informative, rather than the one that is easiest to build.\n\n - Statistical rigor: You reason carefully about sampling, variance, contamination and grader reliability, and you don’t ship a number you can’t defend.\n\n - Hands-on: Strong coding skills. You can build an eval harness, run the experiment and analyze the results yourself.\n\n - Exceptional communication: You can present complex technical findings clearly to frontier lab researchers and to non-technical audiences, in writing and in person.\n\n - Comfort with ambiguity: You’ve operated in fast-moving, cross-functional environments where the problem space is not yet defined.\n\n - Interest in the commercial side: Genuine curiosity about GTM strategy, startup dynamics and the business of AI data — this role sits close to all three.\n\n - In-person: You are excited to work from our San Francisco office five days a week in a high-intensity, high-ownership environment.\n\n\n\n\nNICE TO HAVE\n\n - Ph.D. in machine learning, NLP or a related field; equivalent industry or frontier lab research experience considered.\n\n - Publications at top-tier venues (NeurIPS, ICML, ACL, ICLR), especially in evaluation, benchmarking or data-centric AI.\n\n - Experience authoring a widely-adopted public benchmark or dataset.\n\n - Industry experience on an evaluation, benchmarking or post-training team at a frontier lab.\n\n - Domain depth in one of APEX’s professional verticals — finance, law, consulting, accounting, medicine or software engineering.\n\n - Experience designing rubrics, model-as-judge pipelines, or human annotation programs at scale.\n\n\n\n\nBENEFITS\n\n - Bi-annual performance bonus structure\n\n - Generous equity grant vested over 4 years\n\n - Up to $15k Relocation bonus\n\n - $10K housing bonus (if you live within 0.5 miles of our office)\n\n - $1.5K monthly stipend for meals\n\n - Free Equinox membership\n\n - $200 monthly laundry reimbursement\n\n - $200 monthly personal wellness reimbursement\n\n - Health, Dental, Vision insurance\n\n - 401(k) with company match\n\n\n\n\nWHY MERCOR\n\nAPEX results are read by the labs building the models. You’ll decide what the industry measures next, publish it under your own name, and see it move the conversation within weeks rather than years — with the expert network, capital and engineering support to build benchmarks nobody else can."},{"id":"4302efe7-9396-4bdd-9a3b-ecd045ba3d3c","title":"Member of Technical Staff, Agentic Systems","department":"Engineering","team":"Core Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-09-01T01:06:59.096+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/4302efe7-9396-4bdd-9a3b-ecd045ba3d3c","applyUrl":"https://jobs.ashbyhq.com/mercor/4302efe7-9396-4bdd-9a3b-ecd045ba3d3c/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Location Preference
SF only.
About the Role
As a Member of Technical Staff on Talent Experience, you'll build the backend systems and agent infrastructure behind every journey in Mercor's talent network.
A growing share of Mercor's core work runs on agents: systems that source, screen, match, and support experts with far less human intervention than the workflows they replace. You'll design and ship the services those agents run on—orchestration, tool interfaces, evaluation and guardrail layers, and the data models that keep agent decisions auditable and reversible. This is production agent engineering at real volume, against a network of tens of thousands of experts and the demands of the world's leading AI labs.
This is a hands-on engineering role. You'll write code, own systems end to end, and work directly with product, operations, and AI researchers to decide what agents should do and where humans still belong in the loop.
What You'll Do
Design, build, and own the backend services powering Mercor's agentic workflows—orchestration, tool calling, retries and fallbacks, and human-in-the-loop review.
Ship agents into production and iterate on them against real usage: prompts, tools, guardrails, and cost and latency tradeoffs.
Build the evaluation infrastructure that tells us whether an agent is actually working—offline evals, online metrics, and regression detection.
Design core services, data models, and APIs that scale with the talent network and stay legible as agent behavior changes underneath them.
Make agent decisions observable, auditable, and reversible—so failures are caught early and understood quickly.
Partner with product, operations, and AI researchers to decide what should be an agent, what should stay deterministic, and where a human belongs in the loop.
Establish backend engineering standards and patterns, and raise the technical bar of the engineers around you.
What We're Looking For
5+ years of professional backend engineering experience.
Strong fundamentals in distributed systems, service architecture, data modeling, and API design at scale.
Hands-on experience building with LLMs in production—agents, tool use, retrieval, or evaluation systems—or a clear track record of learning new systems fast and shipping them.
Comfort with ambiguity: agent systems fail in ways traditional services don't, and the right design is rarely obvious upfront.
A track record of owning systems end to end, from design through production operation.
Fluent in using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, or similar) to improve engineering productivity.
Strong opinions, loosely held: you drive alignment through technical judgment and clear writing, not authority.
Excellent communication skills—able to make complex tradeoffs legible to both engineers and leadership.
High ownership, pragmatism, and a bias toward shipping.
Why Mercor
Impact: Build the agent systems that Mercor's core business runs on, at a company scaling faster than almost any in its category.
Ownership: Real scope over the systems you build, with a direct line to engineering leadership and authority over technical direction.
Learning: Work alongside world-class engineers, product leaders, and AI researchers building at the frontier of applied AI.
Growth: Shape how Mercor builds with agents—the standards, the patterns, and the next generation of systems.
Benefits
Generous equity grant vested over 4 years
A $20K relocation bonus (if moving to the Bay Area)
A $10K housing bonus (if you live within 0.5 miles of our office)
A $1.5K monthly stipend for meals
Free Equinox membership
Health insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
On the Software Engineer, Applied AI - Frontier Engineering team , you’ll build, deploy, and operate systems that sit directly between frontier AI research and data delivery.
This is a high-ownership, deeply technical role. You’ll work through ill-defined problems, prototype quickly with researchers and customers, and take systems from early experiments to reliable, scalable production. You’ll own projects end-to-end: spanning requirements gathering, creating data creation pipelines, and improving model-adjacent infrastructure, while partnering closely with frontier AI labs and Mercor’s internal teams to ship high-impact applied AI solutions.
Partner closely with frontier AI labs to understand their data, post-training, and evaluation needs
Build and operate scalable data pipelines for post-training workflows and model evaluations
Design and build scalable systems for synthetic data generation and data quality, and work directly with customers to understand requirements and develop technical solutions
Prototype new data types, benchmarks, and evaluation frameworks
Lead technical discussions with customers
Direct frontier exposure. You’ll work closely with researchers at leading AI labs, building infrastructure that directly accelerates cutting-edge research.
Coding + customer work. This role blends deep technical execution with customer interaction. Engineers who enjoy both building and communicating tend to thrive.
Fast-moving, high-ownership environment
Technically demanding, collaborative work
“Building the plane while flying it”
In-person culture at our new New York office at One World Trade Center
Aligned with frontier research timelines
Strong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.)
Experience with model training and inference
Strong grounding in statistical analysis and experimental design for measuring model performance and improvements
Familiarity with evaluation methods for large language models
Comfort working through ambiguity and shipping iteratively
Enjoys ownership and customer-facing problem solving
Thinks entrepreneurially and moves quickly
Balances speed with engineering rigor
Communicates clearly with technical and non-technical users
Direct exposure to frontier AI research
Real ownership and visible impact
Technical depth paired with human interaction
Fast feedback loops and high leverage
There are very few roles that combine this level of technical rigor, customer proximity, and research exposure.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K proximity bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Frontier models increasingly depend on data that goes beyond text: images, video, audio, documents, and combinations of these modalities. Turning that raw material into useful data products is technically difficult. Each modality has different formats, quality failures, processing costs, privacy considerations, and review workflows. The final product still needs to be consistent, traceable, and trustworthy. Mercor’s Frontier Data Products team builds the systems that make these products possible.
As Tech Lead Manager, you will lead the team responsible for turning complex multimodal inputs into reliable, customer-ready data products at scale. This is a player-coach role, split roughly evenly between technical contribution and people leadership. You will write and review production code, own important architecture decisions, and help resolve the hardest production problems.
You will also hire, coach, and organize a team that can operate with clear ownership and strong independent judgment. This is a product-engineering leadership role. Applied ML is part of the system, but success is measured by the quality, reliability, and usefulness of the products delivered—not by research output alone
What You’ll Do
Set the technical and product strategy for Mercor’s multimodal data products.
Design systems that support the full lifecycle of image, video, audio, document, and mixed-media data—from initial inputs through processing, review, validation, versioning, and delivery.
Create reusable abstractions across modalities while preserving the differences that matter for quality, performance, and customer requirements.
Build quality systems that combine automated evaluation, model-assisted checks, expert review, sampling, and adjudication.
Ensure that every output is traceable: what produced it, what changed, how it was evaluated, and why it was accepted.
Own the reliability, performance, and cost of storage-heavy, compute-intensive, long-running workflows.
Stay hands-on by writing production code, leading design reviews, and directly contributing to the team’s most consequential technical work.
Manage and develop engineers through clear expectations, frequent feedback, thoughtful delegation, and meaningful ownership.
Partner with product, ML, operations, and customer-facing teams to turn new customer needs into durable product capabilities rather than one-off solutions.
Recruit and onboard engineers who raise the team’s technical and execution bar.
What Makes This Role Different
You will shape both the multimodal product architecture and the engineering team building it.
The technical challenge extends beyond moving large media files. The system must preserve context, relationships, provenance, and quality across different modalities and transformations.
Customer requirements and available models will evolve quickly. The architecture must support new products without requiring the team to rebuild the system for every use case.
The team’s work sits directly between complex real-world inputs and the data products delivered to frontier AI customers.
What Success Looks Like
The team can launch support for a new modality or product without building an entirely separate system.
Product quality is measurable, explainable, and auditable across human and model-assisted workflows.
Large, long-running jobs are observable and recoverable, with failures detected before they affect customer deliveries.
Customer-specific work produces reusable capabilities that make the next product faster to build. - Engineers own substantial areas independently rather than depending on the manager for every technical decision.
The team improves delivery speed while maintaining clear standards for quality, reliability, privacy, and cost.
What We Are Looking For
Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics or Statistics
1+ year of experience managing a strong engineering team while remaining an effective, hands-on technical leader.
3+ years of deep experience designing and operating production backend, distributed, or data-intensive systems.
Experience working with large unstructured data, asynchronous processing, metadata and versioning, or compute-heavy workflows.
Nice to Haves:
Relevant experience in at least one area such as multimedia infrastructure, computer-vision data, video or audio processing, ML platforms, annotation systems, or human-in-the-loop products.
Strong judgment about platform boundaries: what should be generalized across modalities and what should remain modality-specific.
A track record of taking ambiguous, zero-to-one products through architecture, launch, and sustained production operation.
Evidence that you can recruit, coach, and retain excellent engineers while maintaining a high performance bar.
Benefits
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Generous equity grant vested over 4 years
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
We are now building our team in Mexico. This is an opportunity to join Mercor at the beginning of our expansion in Mexico, contribute to how the local team takes shape, and work directly on global projects with some of the world’s most advanced AI companies.
The world’s leading AI companies partner with Mercor to execute high-impact projects involving human expertise and data. As a Strategic Project Lead, you will own these projects end to end, build strong customer relationships, and lead the teams responsible for delivering exceptional results.
You will supervise Strategic Project Associates and coordinate large networks of domain experts. SPLs can be responsible for project portfolios generating more than $10 million in annual revenue and involving over 1,000 contributors.
This is a hands-on leadership role for ambitious professionals who enjoy solving complex problems, developing people, and turning challenging goals into results. It offers the opportunity to take on significant responsibility, accelerate your growth, and have a tangible impact on AI - the defining industry of our time.
Lead high-impact projects for some of the world’s leading AI labs and technology companies.
Own projects, from customer conversations through successful delivery.
Turn complex customer needs into clear plans and help teams execute them effectively.
Lead and develop Strategic Project Associates, helping them grow and perform at a high level.
Coordinate large groups of domain experts across fields such as software engineering, medicine, law, science, and business.
Build trusted relationships with customers and serve as a primary point of contact.
Use data and structured problem-solving to understand performance, identify challenges, and improve results.
Ensure that projects consistently meet high standards for quality, speed, and customer experience.
Collaborate with Operations, Engineering, and Machine Learning teams to develop better ways of working.
Identify opportunities to expand successful projects and create additional value for customers.
3 - 6+ years of professional experience.
Experience owning and delivering complex projects in fast-moving or demanding environments.
Strong problem-solving skills and the ability to bring structure to unfamiliar or ambiguous challenges.
Experience managing people, leading teams, or coordinating multiple stakeholders toward a shared goal.
Excellent written and verbal communication skills in English. You will work directly with international colleagues, customers, and experts.
Strong analytical skills and comfort using data to understand problems and make decisions.
Intellectual curiosity and a genuine interest in understanding how data, technology, and AI systems work.
The ability to prioritize effectively and manage several important workstreams at the same time.
Confidence working with customers and the judgment to communicate progress, challenges, and recommendations clearly.
Ambition and a strong desire to learn, grow, and take on increasing responsibility.
Excitement about contributing to AI and having a meaningful impact on one of the world’s most important and rapidly evolving industries.
Initiative, adaptability, low ego, and openness to feedback.
Enthusiasm for using AI tools, combined with the critical thinking needed to evaluate their output.
Experience in startups, consulting, strategy and operations, product, engineering, data, technology, entrepreneurship, Chief of Staff roles, customer-facing positions, or people management can be valuable. No single professional background is required; demonstrated ownership, leadership, learning ability, and execution matter most.
Technical or coding experience is not required, but candidates should be comfortable working with data, learning new systems, and developing an understanding of AI-enabled workflows.
Mercor offers the opportunity to accelerate your career inside a profitable, high-growth U.S. technology startup at the forefront of AI.
You will work in a fast-paced and high-intensity environment where projects move quickly, standards are high, and your decisions can have a visible impact on customers, teams, and the business. You will gain exposure to complex global projects, lead talented people, and grow alongside Mercor’s expanding team in Mexico.
This role is particularly well suited to ambitious people who want to challenge themselves, grow as operators and leaders, and help shape an industry that will transform how people and companies work.
This role is currently remote and is intended for candidates based in Mexico City.
Mercor plans to open an office in Mexico City as the team grows. The role is expected to transition to an in-person working model once the office opens. Joining now means becoming one of the early contributors to Mercor’s presence and culture in Mexico.
Competitive salary.
Performance-based bonus structure.
Meaningful equity ownership in a high-growth U.S. technology company.
Benefits above those required by Mexican law.
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
What This Person Owns
The infrastructure every data-driven team at Mercor runs on: Snowflake, Fivetran, Airflow, and Hex. You own how data is organized, who can access what, what it costs to run, and how reliably it operates. This is a foundational hire on a new Data Platform team, you'll help set the standards other engineers build against.
What They Do Day-to-Day
- Bring structure and clear ownership to how data is organized in Snowflake across projects and teams
- Design narrow, role-based access controls, and partner with automation so access is granted and revoked as people join, change teams, or leave
- Extend row access policies and PII masking across all sensitive datasets
- Migrate data from a variety of vendor and internal sources into properly owned, governed homes
- Own Fivetran connector health and cost, Airflow/Astronomer pipeline reliability and on-call, and Hex governance across company-wide dashboards
- Monitor and right-size Snowflake warehouse spend
- Help build CDC/streaming ingestion and other internal data platform tooling
What We're Looking For
- Hands-on experience with Snowflake administration: roles, grants, warehouses, cost/performance tuning
- Experience designing data access and governance models (RBAC, row-level security, PII) at scale
- Comfort owning vendor tooling end to end (Fivetran, Airflow/Astronomer, or similar), including on-call
- Track record migrating or re-architecting live production data systems without breaking dependent teams
- Strong SQL and Python, with infrastructure fluency to make judgment calls, not just execute a spec
- Experience owning CDC/streaming pipelines in production (Debezium, Kafka, Snowpipe Streaming or similar), including reasoning about delivery semantics, partitioning, and safe cutovers between systems.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Strategic Project Associate, you will work closely with Strategic Project Leads to execute large-scale projects for leading AI labs and technology companies.
You will help manage project portfolios representing millions of dollars in revenue, coordinate hundreds of highly skilled domain experts, identify and resolve operational and data-quality issues, and ensure that projects consistently meet a high standard.
This is not a traditional entry-level project coordination role. You will have the opportunity to take ownership, make sound decisions with incomplete information, move quickly, and contribute directly to the success of high-impact customer programs.
The role offers significant responsibility early in your career, exposure to the frontier of AI, and rapid growth opportunities within a fast-paced U.S. startup.
Execute complex, large-scale projects on behalf of leading AI labs and technology companies.
Help manage multimillion-dollar project portfolios, ensuring strong delivery, quality, and customer outcomes.
Source, evaluate, onboard, and manage the performance of hundreds of domain experts across areas such as software engineering, medicine, law, science, business, and others.
Monitor project performance and investigate operational or data-quality issues before they affect delivery.
Develop a strong understanding of why the data matters, what quality means for each project, and how project decisions can influence AI model performance.
Anticipate blockers, prioritize competing needs, and take initiative without waiting for detailed instructions.
Build strong working relationships with customers and communicate progress, risks, and recommendations clearly.
Collaborate closely with Strategic Project Leads, Operations, Engineering, and Machine Learning teams to meet customer objectives.
Design and improve processes that enable projects to operate more accurately, efficiently, and at greater scale.
Identify opportunities to expand successful projects and create additional value for customers.
0 - 3 years of professional experience. New graduates looking for their first full-time professional opportunity are encouraged to apply.
Strong analytical thinking and an ability to identify patterns, inconsistencies, and root causes.
Strong problem-solving skills and the ability to approach unfamiliar challenges with structure, creativity, and sound judgment.
Excellent written and verbal communication skills in English. You will work with international colleagues, customers, and experts.
Intellectual curiosity and a genuine interest in understanding how systems, data, and AI models work.
A high level of ownership, urgency, and attention to detail.
The ability to prioritize effectively and manage several workstreams at the same time.
Comfort operating in ambiguous situations, making decisions, and adjusting quickly as circumstances change.
Enthusiasm for using AI tools, combined with the critical thinking necessary to evaluate their output.
Openness to feedback, and a willingness to address problems directly and transparently.
Evidence that you have taken initiative, built something, led others, or assumed meaningful responsibility - whether professionally, academically, or through an entrepreneurial or extracurricular project.
Experience in startups, consulting, strategy and operations, product, engineering, data, technology, entrepreneurship, or customer-facing roles can be valuable, but no single professional background is required.
Mercor offers the opportunity to begin or accelerate your career inside a profitable, high-growth U.S. technology startup at the forefront of AI.
This environment is best suited to people who are ambitious, highly motivated, and energized by responsibility. We set a high bar for output and expect team members to remain responsive and committed when important projects require additional effort.
In return, you will receive unusually early ownership, work alongside exceptional colleagues, learn rapidly, and have the opportunity to make a visible contribution to a company shaping the future of AI.
This role is currently remote and is intended for candidates based in Mexico City.
Mercor plans to open an office in Mexico City as the team grows. The role is expected to transition to an in-person working model once the office opens. Joining now means becoming one of the early contributors to Mercor’s presence and culture in Mexico.
Competitive salary.
Performance-based bonus structure.
Meaningful equity ownership in a high-growth U.S. technology company.
Benefits above those required by Mexican law.
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As a Data Science Intern at Mercor, you’ll join a fast-moving, metrics-driven engineering team whose work shapes decisions across the company. You’ll analyze data that directly affects ranking, hiring efficiency, candidate experience and revenue, work with production datasets from your first week, and ship insights that product and engineering act on.
You’ll start on the analyses and tooling your team has wanted but hasn’t had the hands for, and as needs come up you’ll take deep ownership of them, with a named mentor alongside you. You’ll move quickly while keeping a high bar for analytical rigor, clarity and statistical correctness.
Where You’ll Work
Interns start on a rolling basis, so summer, spring and fall terms all work. About three weeks before your start we’ll match you to one of two teams:
Product Data Science. The data science function for the marketplace and talent platform: metrics for matching, ranking and hiring efficiency, event instrumentation and data integrity, experiments on the candidate and customer experience, and scoring models that change who gets surfaced for which role.
Applied AI Data Science. The data science function inside the org that delivers human data and evaluations to frontier AI labs: operational analytics for live customer projects, automated quality control that gates what ships, and evaluation science that shows a lab where its model breaks and why.
What You’ll Work On
Defining north-star metrics and feature-level KPIs for ranking, interview analytics and payouts
Designing A/B tests and quasi-experiments and turning results into product decisions within days
Building dashboards and lightweight data models so teams can self-serve insights
Instrumenting events with engineers and improving data quality, observability and latency
Prototyping models, from baselines to gradient boosting, to improve matching and scoring
Evaluating LLM-powered systems through rubric design, human-in-the-loop experiments and guardrail testing
What We’re Looking For
Pursuing a degree in a quantitative field, graduating 2027 (potentially 2028)
Strong fundamentals in statistics, SQL and Python
Experience with experiment design, causal reasoning and data analysis
Clear communication with engineers, product managers and leadership
Curiosity about LLM evaluation, retrieval, ranking or marketplace dynamics
Excited to work in person in San Francisco
Nice to have: dbt, dashboarding tools, recommendation or search metrics, LLM and agent evaluation
Why Mercor
Impact: your work powers how frontier AI labs train and deploy their models
Learning: early exposure to frontier AI research and engineering
Growth: a high-velocity team where interns ship to production
Compensation and Benefits
$10K housing bonus if you live within 0.5 miles of our office during your internship
$1.5K monthly stipend for meals/rideshare
Health, dental and vision insurance
401(k) eligibility
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Delivery Operations at Mercor is responsible for the end-to-end execution of our human data programs, ensuring projects are staffed, scoped, and delivered on time and at quality for our customers. We're looking for a Chief of Staff to work directly with the VP of Delivery Operations to drive strategic initiatives, keep cross-functional execution tight, and turn priorities into results across a fast-moving org.
This is a high-visibility role for someone who wants operating experience at the center of a growing business, with direct exposure to how a human data delivery org is run.
Reports to VP, Delivery Operations
Strategic partnership: Act as a thought partner to the VP, helping set priorities, structure decisions, and prepare for key meetings, reviews, and offsites
Cross-functional execution: Drive projects from strategy to execution, coordinating across Delivery, Recruiting, Ops, Product, and Finance to keep initiatives on track
Operating rhythm: Build and maintain the operating rhythm of the org, including weekly business reviews, KPI tracking, OKRs, and leadership reporting
Problem solving: Turn ambiguous problems into structured plans, diagnosing operational bottlenecks and proposing fixes across staffing, throughput, quality, and margin
Executive communication: Prepare briefings, decks, and analyses for exec and board-level conversations
Special projects: Own initiatives as they arise, including new program launches, process redesigns, vendor evaluations, and headcount planning
Force multiplier: Serve as a trusted filter for the VP, triaging what needs their attention versus what can be delegated or resolved directly
2–5 years of experience in a high-ownership operating role, such as chief of staff, business or strategy operations, management consulting, investment banking, venture, or a startup operating role
Prior experience in human data, data annotation, RLHF, or AI training data operations
Strong analytical skills; comfortable building models, structuring ambiguous problems, and drawing conclusions from data
Excellent written and verbal communication; able to synthesize complex information into clear, concise recommendations
A bias toward execution; someone who can move from \"what should we do\" to \"it's done\" without much hand-holding
Comfortable operating in fast-changing, high-growth environments with shifting priorities
A track record of excellent cross-functional collaboration, building trust and aligning stakeholders across teams and orgs
You'll sit at the center of one of Mercor's most operationally intensive functions, with a direct line to strategic decision-making and a fast path to broader ownership as the org scales.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\n\nABOUT THE ROLE\n\nDelivery Operations at Mercor is responsible for the end-to-end execution of our human data programs, ensuring projects are staffed, scoped, and delivered on time and at quality for our customers. We're looking for a Chief of Staff to work directly with the VP of Delivery Operations to drive strategic initiatives, keep cross-functional execution tight, and turn priorities into results across a fast-moving org.\n\nThis is a high-visibility role for someone who wants operating experience at the center of a growing business, with direct exposure to how a human data delivery org is run.\n\nReports to VP, Delivery Operations\n\n\n\n\nWHAT YOU'LL DO\n\n - Strategic partnership: Act as a thought partner to the VP, helping set priorities, structure decisions, and prepare for key meetings, reviews, and offsites\n\n - Cross-functional execution: Drive projects from strategy to execution, coordinating across Delivery, Recruiting, Ops, Product, and Finance to keep initiatives on track\n\n - Operating rhythm: Build and maintain the operating rhythm of the org, including weekly business reviews, KPI tracking, OKRs, and leadership reporting\n\n - Problem solving: Turn ambiguous problems into structured plans, diagnosing operational bottlenecks and proposing fixes across staffing, throughput, quality, and margin\n\n - Executive communication: Prepare briefings, decks, and analyses for exec and board-level conversations\n\n - Special projects: Own initiatives as they arise, including new program launches, process redesigns, vendor evaluations, and headcount planning\n\n - Force multiplier: Serve as a trusted filter for the VP, triaging what needs their attention versus what can be delegated or resolved directly\n\n\nWHAT WE'RE LOOKING FOR\n\n - 2–5 years of experience in a high-ownership operating role, such as chief of staff, business or strategy operations, management consulting, investment banking, venture, or a startup operating role\n\n - Prior experience in human data, data annotation, RLHF, or AI training data operations \n\n - Strong analytical skills; comfortable building models, structuring ambiguous problems, and drawing conclusions from data\n\n - Excellent written and verbal communication; able to synthesize complex information into clear, concise recommendations\n\n - A bias toward execution; someone who can move from \"what should we do\" to \"it's done\" without much hand-holding\n\n - Comfortable operating in fast-changing, high-growth environments with shifting priorities\n\n - A track record of excellent cross-functional collaboration, building trust and aligning stakeholders across teams and orgs\n\n\nWHY THIS ROLE\n\nYou'll sit at the center of one of Mercor's most operationally intensive functions, with a direct line to strategic decision-making and a fast path to broader ownership as the org scales. "},{"id":"1d59ce50-4207-4d95-b7fd-5a01e90b0897","title":"Mercor AI Safety Fund Grants","department":"Research","team":"Research","employmentType":"Temporary","location":"San Francisco","secondaryLocations":[{"location":"Mexico | Mexico City","address":{"postalAddress":{"addressRegion":"Ciudad de México","streetAddress":"","addressCountry":"Mexico","addressLocality":"Mexico City"}}},{"location":"New York City","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}},{"location":"London","address":{"postalAddress":{"postalCode":"","addressRegion":"England","streetAddress":"221 Pentonville Road,","addressCountry":"United Kingdom","addressLocality":"London"}}}],"publishedAt":"2026-09-15T16:24:38.626+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/1d59ce50-4207-4d95-b7fd-5a01e90b0897","applyUrl":"https://jobs.ashbyhq.com/mercor/1d59ce50-4207-4d95-b7fd-5a01e90b0897/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor Safety Research Grants $5M
One of the biggest challenges the industry faces today is addressing whether frontier AI is safe enough to deploy. A model can pass safety checks and still act differently in production. This is why investing today in safety research, evals and verification is critical.
Mercor is committing $5 million to fund safety research. Award size and mix depend on the project. The grant supports:
Researcher hours
API costs
Stipends for event and conference attendance
The time of experts from Mercor's platform
This is separate from the Mercor Research Fellowship, which funds benchmark and economics work. You can apply to that HERE.
What we're looking for
We're open to proposals across the full range of safety interests. We're particularly interested in:
Misalignment: deceptive alignment, goal misgeneralization, reward hacking, scheming, and situationally-aware failure modes
Sandbox escape: containment failures, privilege escalation, tool misuse, and agents operating outside their intended scope
Evaluation awareness: models detecting they are being tested and behaving differently under observation than in deployment
Interpretability: understanding what models are actually doing internally, and whether that can be made legible to a human reviewer
Oversight and control: scalable supervision, human-in-the-loop reliability, and what breaks when the system is more capable than its reviewer
Red-teaming methodology: more robust systems for uncovering novel failures
If your work doesn't fit neatly into these, apply anyway. Strong proposals outside this list are welcome.
Why us
Funding for researcher time, API costs, and event attendance
Where useful to the work: access to Mercor's expert network for human grading, red-teaming, and annotation: lawyers, accountants, engineers, scientists, clinicians
Access to Mercor's internal evaluation infrastructure, subject to review
Introductions to Mercor's network of researchers across frontier labs and academia
Who should apply
Researchers at universities and non-profit research organizations, as well as public benefit corporations and small startups that do not sell AI training data. Awards are made to the researcher’s institution.
People with a specific, well-scoped question: the grant is built around your proposal, not a generic research rotation
Applicants based in the United States or the United Kingdom
Background in ML, CS, statistics, or an adjacent field (measurement, psychometrics, HCI, security, social science)
Bonus: experience with agentic evaluation, RL environments, adversarial ML, or systems security
We expect grantees to publish. A paper, an open dataset, a public methodology, or a tool the field can use, released under an open license that permits commercial use.
Award terms
Selected grantees will sign Mercor’s research award agreement. Key terms include:
Grantees keep ownership of their work and grant Mercor a non-exclusive license to use it, including commercially.
Mercor may identify grantees and their institutions as award recipients, including by name and logo. Grantees may use Mercor’s logo with Mercor’s approval.
For benchmark and evaluation projects, Mercor receives early access to the benchmark before public release and the exclusive right to build and host a private held-out test set, at Mercor’s cost.
Grantees agree not to work with specified Mercor competitors on substantially similar benchmarks or evaluations during the award and for 12 months afterward.
Grantees are free to publish their findings. Mercor reviews drafts in advance only to remove its confidential information.
Awards are subject to tax documentation, sanctions screening, and periodic progress reports.
How to apply
Submit an Expression of Interest. We expect to see a one- or two-page document. It should contain at least a section on your team, background, and research accomplishments; a section on your proposed research project; and a section on the outputs and impact of the project, with directionally correct timelines and resource requirements. Please do not include confidential or proprietary information in your Expression of Interest. Submitting an Expression of Interest does not obligate Mercor to make an award.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\n\n\nMercor Safety Research Grants $5M\n\nOne of the biggest challenges the industry faces today is addressing whether frontier AI is safe enough to deploy. A model can pass safety checks and still act differently in production. This is why investing today in safety research, evals and verification is critical.\n\nMercor is committing $5 million to fund safety research. Award size and mix depend on the project. The grant supports:\n\n - Researcher hours\n\n - API costs\n\n - Stipends for event and conference attendance\n\n - The time of experts from Mercor's platform\n\nThis is separate from the Mercor Research Fellowship, which funds benchmark and economics work. You can apply to that HERE https://www.mercor.com/careers/?ashby_jid=e1f6792d-1aae-4c2e-8edb-e2b91343dbb5.\n\n\n\nWhat we're looking for\n\nWe're open to proposals across the full range of safety interests. We're particularly interested in:\n\n - Misalignment: deceptive alignment, goal misgeneralization, reward hacking, scheming, and situationally-aware failure modes\n\n - Sandbox escape: containment failures, privilege escalation, tool misuse, and agents operating outside their intended scope\n\n - Evaluation awareness: models detecting they are being tested and behaving differently under observation than in deployment\n\n - Interpretability: understanding what models are actually doing internally, and whether that can be made legible to a human reviewer\n\n - Oversight and control: scalable supervision, human-in-the-loop reliability, and what breaks when the system is more capable than its reviewer\n\n - Red-teaming methodology: more robust systems for uncovering novel failures\n\nIf your work doesn't fit neatly into these, apply anyway. Strong proposals outside this list are welcome.\n\n\n\nWhy us\n\n - Funding for researcher time, API costs, and event attendance\n\n - Where useful to the work: access to Mercor's expert network for human grading, red-teaming, and annotation: lawyers, accountants, engineers, scientists, clinicians\n\n - Access to Mercor's internal evaluation infrastructure, subject to review\n\n - Introductions to Mercor's network of researchers across frontier labs and academia\n\n\n\nWho should apply\n\n - Researchers at universities and non-profit research organizations, as well as public benefit corporations and small startups that do not sell AI training data. Awards are made to the researcher’s institution.\n\n - People with a specific, well-scoped question: the grant is built around your proposal, not a generic research rotation\n\n - Applicants based in the United States or the United Kingdom\n\n - Background in ML, CS, statistics, or an adjacent field (measurement, psychometrics, HCI, security, social science)\n\n - Bonus: experience with agentic evaluation, RL environments, adversarial ML, or systems security\n\nWe expect grantees to publish. A paper, an open dataset, a public methodology, or a tool the field can use, released under an open license that permits commercial use.\n\n\n\nAward terms\n\nSelected grantees will sign Mercor’s research award agreement. Key terms include:\n\n - Grantees keep ownership of their work and grant Mercor a non-exclusive license to use it, including commercially.\n\n - Mercor may identify grantees and their institutions as award recipients, including by name and logo. Grantees may use Mercor’s logo with Mercor’s approval.\n\n - For benchmark and evaluation projects, Mercor receives early access to the benchmark before public release and the exclusive right to build and host a private held-out test set, at Mercor’s cost.\n\n - Grantees agree not to work with specified Mercor competitors on substantially similar benchmarks or evaluations during the award and for 12 months afterward.\n\n - Grantees are free to publish their findings. Mercor reviews drafts in advance only to remove its confidential information.\n\n - Awards are subject to tax documentation, sanctions screening, and periodic progress reports.\n\n\n\nHow to apply\n\nSubmit an Expression of Interest. We expect to see a one- or two-page document. It should contain at least a section on your team, background, and research accomplishments; a section on your proposed research project; and a section on the outputs and impact of the project, with directionally correct timelines and resource requirements. Please do not include confidential or proprietary information in your Expression of Interest. Submitting an Expression of Interest does not obligate Mercor to make an award."},{"id":"de3025e5-10ca-4d55-b688-eff0e647ac8d","title":"Software Engineer Intern","department":"Engineering","team":"Internships","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-04T18:35:02.892+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/de3025e5-10ca-4d55-b688-eff0e647ac8d","applyUrl":"https://jobs.ashbyhq.com/mercor/de3025e5-10ca-4d55-b688-eff0e647ac8d/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As a Member of Technical Staff, Intern at Mercor, you’ll join a small, product-driven engineering team building the systems behind how the world’s leading AI labs source expert talent and human data. You’ll write production code from your first week and ship work that reaches customers.
You’ll start on the work your team has wanted to do but hasn’t had the hands for, and as needs come up you’ll take deep ownership of them, with a named mentor alongside you. You’ll work closely with product and design, move fast, and hold a high bar for quality, scalability and simplicity.
Where You’ll Work
Interns start on a rolling basis, so summer, spring and fall terms all work. About six weeks before your start we’ll match you to the team where you’ll have the most impact, across one of the engineering sub-departments:
Talent platform. The marketplace that sources, vets, matches and pays expert talent.
Applied AI. Delivery systems, quality control and evals for the human data we ship to frontier labs.
Agents. Internal agents that automate operational work across the company.
Platform engineering. Shared infrastructure, contracts, payments and reliability.
Studio. The platform for creating and analyzing datasets.
What We’re Looking For
Pursuing a degree in Computer Science or a related field, graduating 2027 to 2029
Strong programming skills in Python, Go or TypeScript
Solid grounding in data structures, algorithms and systems
Experience with APIs, SQL or NoSQL databases and cloud platforms
Curiosity about AI and an interest in startups
Excited to work in person in San Francisco
Why Mercor
Impact: your work powers how frontier AI labs train and deploy their models
Learning: early exposure to frontier AI research and engineering
Growth: a high-velocity team where interns ship to production
Compensation and Benefits
$10K housing bonus if you live within 0.5 miles of our office during your internship
$1.5K monthly stipend for meals/rideshare
Health, dental and vision insurance
401(k) eligibility
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
We’re looking for a Senior HR Business Partner to support Mercor’s Delivery organization.
Delivery sits at the center of how Mercor turns customer demand into high-quality human data. Teams are launching and scaling accounts quickly, managing changing customer requirements, developing operators into larger roles, and making constant decisions about talent, performance and organizational structure.
The HRBP supporting this organization needs to understand that environment.
You will work directly with Delivery leaders and managers on the people decisions that affect whether an account and the organization perform: who we put in critical roles, how we develop strong operators, where management is breaking down, how teams should be structured, when someone needs a larger challenge, and when performance is below the bar.
This is not a role for someone who wants to operate at a distance from the business. You should understand the work, the customer environment and the economics well enough to challenge leaders and make practical recommendations.
Experience in the human data / AI data industry is required. You should already understand the operating model behind businesses delivering human-generated data, expert data, model evaluations, RLHF, data annotation or similar services to AI customers.
Partner directly with Delivery leadership. Advise leaders on talent, organization design, management, performance and workforce decisions as the organization scales.
Get close to the accounts. Understand the differences between teams, customers and types of work so that your people recommendations reflect the actual business rather than a generic HR model.
Raise the performance bar. Help managers distinguish exceptional performance from strong performance and performance that is below the bar. Make sure decisions are grounded in evidence and addressed quickly.
Develop strong operators. Identify high-performing SPLs, account leaders and other critical talent early. Work with leaders to create meaningful next opportunities through larger accounts, expanded scope, new problems, internal mobility or management opportunities.
Strengthen managers. Coach managers on feedback, expectations, team effectiveness, difficult conversations, performance issues and leadership behavior. Step in when a manager needs direct challenge, not simply support.
Help us retain our best people. Identify retention risk before it becomes a resignation. Understand what is driving it, including scope, compensation, manager quality, account experience, career progression and external market pull, and work with leaders on the right intervention.
Shape the organization as it changes. Partner on role clarity, organization design, succession, spans and layers, leadership changes and movement of talent between teams and accounts.
Bring a people lens to staffing and workload. Identify when persistent workload, account design, insufficient capacity or operating friction is becoming a talent problem and work with Delivery leadership to address the root cause.
Handle difficult people situations well. Support leaders through performance concerns, conduct issues, organizational changes, role changes and exits with speed, consistency and good judgment.
Run talent and performance mechanisms for Delivery. Make the company-wide approach usable in a fast-moving operating organization without turning it into unnecessary process.
See patterns before they become bigger problems. Use talent, performance, retention and employee signals to tell Delivery leadership what is changing and where intervention is needed.
Build what does not exist yet. Mercor is still early. When the business needs a new mechanism, manager tool or talent practice, you should be comfortable building the first version yourself and improving it through use.
Human data industry experience is required. You have worked inside a company delivering human data or human expertise for AI systems, including areas such as AI training data, expert data, RLHF, model evaluation, data annotation or labeling, or closely related human data operations. You understand how these businesses actually run.
8+ years of strong HRBP experience. You have been the primary People partner to senior leaders and can independently handle complex organizational and talent decisions.
Experience with operations or delivery organizations. You have supported teams where performance is closely tied to customers, quality, speed, capacity and execution.
High-growth startup experience. You are comfortable with rapid organizational change, incomplete systems, ambiguous ownership and a business that can look meaningfully different six months from now.
Strong business judgment. You can understand what is happening operationally, separate symptoms from root causes and make a clear recommendation.
High performance orientation. You are comfortable differentiating performance, investing disproportionately in exceptional people and addressing weak performance directly.
Excellent manager coach. You can make managers better and are comfortable challenging experienced leaders when their management approach is contributing to the problem.
Strong talent instinct. You can recognize people with unusual trajectory, understand what may cause them to leave and help create opportunities that keep them growing.
0→1 builder. You have created useful talent, manager or organizational practices where little infrastructure existed before.
Operator mindset. You do not stop at identifying the problem or writing the recommendation. You stay close enough to the work to make sure the solution actually works.
Direct and low ego. You communicate clearly, handle disagreement well and care more about reaching the right answer than protecting your own idea.
In-person. You are able to work from our San Francisco office five days a week.
This role has unusual proximity to the core business.
You will work with the leaders responsible for delivering some of Mercor’s most important customer work while helping shape the talent systems behind an organization that is scaling extremely quickly.
You will have the opportunity to influence how we identify and develop exceptional operators, build stronger managers, structure Delivery teams, retain critical talent and raise the performance bar across the organization.
For someone who already understands the human data industry, this is an opportunity to help build the People infrastructure for one of the companies defining its next stage.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\n\nABOUT THE ROLE\n\nWe’re looking for a Senior HR Business Partner to support Mercor’s Delivery organization.\n\nDelivery sits at the center of how Mercor turns customer demand into high-quality human data. Teams are launching and scaling accounts quickly, managing changing customer requirements, developing operators into larger roles, and making constant decisions about talent, performance and organizational structure.\n\nThe HRBP supporting this organization needs to understand that environment.\n\nYou will work directly with Delivery leaders and managers on the people decisions that affect whether an account and the organization perform: who we put in critical roles, how we develop strong operators, where management is breaking down, how teams should be structured, when someone needs a larger challenge, and when performance is below the bar.\n\nThis is not a role for someone who wants to operate at a distance from the business. You should understand the work, the customer environment and the economics well enough to challenge leaders and make practical recommendations.\n\nExperience in the human data / AI data industry is required. You should already understand the operating model behind businesses delivering human-generated data, expert data, model evaluations, RLHF, data annotation or similar services to AI customers.\n\n\n\n\nWHAT YOU’LL DO\n\n - Partner directly with Delivery leadership. Advise leaders on talent, organization design, management, performance and workforce decisions as the organization scales.\n\n - Get close to the accounts. Understand the differences between teams, customers and types of work so that your people recommendations reflect the actual business rather than a generic HR model.\n\n - Raise the performance bar. Help managers distinguish exceptional performance from strong performance and performance that is below the bar. Make sure decisions are grounded in evidence and addressed quickly.\n\n - Develop strong operators. Identify high-performing SPLs, account leaders and other critical talent early. Work with leaders to create meaningful next opportunities through larger accounts, expanded scope, new problems, internal mobility or management opportunities.\n\n - Strengthen managers. Coach managers on feedback, expectations, team effectiveness, difficult conversations, performance issues and leadership behavior. Step in when a manager needs direct challenge, not simply support.\n\n - Help us retain our best people. Identify retention risk before it becomes a resignation. Understand what is driving it, including scope, compensation, manager quality, account experience, career progression and external market pull, and work with leaders on the right intervention.\n\n - Shape the organization as it changes. Partner on role clarity, organization design, succession, spans and layers, leadership changes and movement of talent between teams and accounts.\n\n - Bring a people lens to staffing and workload. Identify when persistent workload, account design, insufficient capacity or operating friction is becoming a talent problem and work with Delivery leadership to address the root cause.\n\n - Handle difficult people situations well. Support leaders through performance concerns, conduct issues, organizational changes, role changes and exits with speed, consistency and good judgment.\n\n - Run talent and performance mechanisms for Delivery. Make the company-wide approach usable in a fast-moving operating organization without turning it into unnecessary process.\n\n - See patterns before they become bigger problems. Use talent, performance, retention and employee signals to tell Delivery leadership what is changing and where intervention is needed.\n\n - Build what does not exist yet. Mercor is still early. When the business needs a new mechanism, manager tool or talent practice, you should be comfortable building the first version yourself and improving it through use.\n \n \n\n\nWHAT WE’RE LOOKING FOR\n\n - Human data industry experience is required. You have worked inside a company delivering human data or human expertise for AI systems, including areas such as AI training data, expert data, RLHF, model evaluation, data annotation or labeling, or closely related human data operations. You understand how these businesses actually run.\n\n - 8+ years of strong HRBP experience. You have been the primary People partner to senior leaders and can independently handle complex organizational and talent decisions.\n\n - Experience with operations or delivery organizations. You have supported teams where performance is closely tied to customers, quality, speed, capacity and execution.\n\n - High-growth startup experience. You are comfortable with rapid organizational change, incomplete systems, ambiguous ownership and a business that can look meaningfully different six months from now.\n\n - Strong business judgment. You can understand what is happening operationally, separate symptoms from root causes and make a clear recommendation.\n\n - High performance orientation. You are comfortable differentiating performance, investing disproportionately in exceptional people and addressing weak performance directly.\n\n - Excellent manager coach. You can make managers better and are comfortable challenging experienced leaders when their management approach is contributing to the problem.\n\n - Strong talent instinct. You can recognize people with unusual trajectory, understand what may cause them to leave and help create opportunities that keep them growing.\n\n - 0→1 builder. You have created useful talent, manager or organizational practices where little infrastructure existed before.\n\n - Operator mindset. You do not stop at identifying the problem or writing the recommendation. You stay close enough to the work to make sure the solution actually works.\n\n - Direct and low ego. You communicate clearly, handle disagreement well and care more about reaching the right answer than protecting your own idea.\n\n - In-person. You are able to work from our San Francisco office five days a week.\n\n\nWHY MERCOR\n\nThis role has unusual proximity to the core business.\n\nYou will work with the leaders responsible for delivering some of Mercor’s most important customer work while helping shape the talent systems behind an organization that is scaling extremely quickly.\n\nYou will have the opportunity to influence how we identify and develop exceptional operators, build stronger managers, structure Delivery teams, retain critical talent and raise the performance bar across the organization.\n\nFor someone who already understands the human data industry, this is an opportunity to help build the People infrastructure for one of the companies defining its next stage."},{"id":"1dcab154-b92d-4a5f-aed5-b1b8c049cdbc","title":"Research Scientist - Environments, Data and Post-Training","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-09-18T23:43:17.414+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/1dcab154-b92d-4a5f-aed5-b1b8c049cdbc","applyUrl":"https://jobs.ashbyhq.com/mercor/1dcab154-b92d-4a5f-aed5-b1b8c049cdbc/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Research Scientist at Mercor, you will work at the intersection of research and engineering on frontier post-training. You will develop new training and evaluation methods, test them through rigorous experiments, and implement successful approaches at scale.
Working with researchers, engineers, domain experts, and customers, you will investigate how data, rewards, environments, and optimization methods shape model behavior. Your work will influence frontier models, Mercor’s products, and the broader research community through releasing blogposts, technical reports, and papers.
Implement novel post-training methods that improve model reasoning, tool use, and agentic behavior.
Develop new training recipes for frontier open models.
Design and run experiments across datasets, reward functions, environments, and optimization strategies, including methods such as GRPO and DAPO.
Build reinforcement learning with verifiable rewards (RLVR) and other post-training pipelines at scale.
Investigate model capabilities and failure modes, then develop targeted training interventions.
Create methods for measuring data quality, usability, and causal impact on model performance.
Build scalable pipelines for data generation, filtering, augmentation, and selection.
Develop rubrics, evaluators, benchmarks, and scoring systems that inform training decisions.
Translate open-ended research questions into rigorous experiments and production systems.
Collaborate with researchers, applied AI teams, engineers, and domain experts producing training data.
Contribute to open-source post-training tools and research.
Demonstrated experience training and evaluating machine learning models.
A strong research record in post-training, reinforcement learning, language-model evaluation, data-centric ML, or a closely related field.
Ability to reason rigorously about model behavior, experimental results, and data quality.
Strong programming skills and experience implementing machine learning systems.
Knowledge of the current AI research landscape and important open problems.
Excitement to work in person in San Francisco, five days a week (with optional remote Saturdays), and thrive in a high-intensity, high-ownership environment.
Experience on an industry post-training or frontier-model team.
Main authorship of publications at top-tier conferences (NeurIPS, ICML, ACL).
Experience with synthetic-data generation
Experience building large-scale evaluation or data-generation infrastructure.
Solid foundations in distributed or backend systems, and experimental design.
Familiarity with APIs, databases, and cloud infrastructure.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor is looking for a Chief of Staff to support the Head of Engagement Management and drive high-priority initiatives across sales, partnerships, marketing, and hiring. This is a high-ownership role for someone who can move quickly from strategy to execution, helping to drive the strategic direction of Mercor's rapidly expanding GTM efforts.
Special Projects: Develop and execute strategic initiatives to grow Mercor’s business across labs, enterprises, and app layer companies
Partnerships: Activate partnerships with RL-as-a-service companies and partners to turn relationships into joint GTM and revenue opportunities.
Sales strategy: Manage CRM implementation, goal setting, territory design, and resource allocation
Process Optimization: Help to optimize the operating rhythm of the EM organization including deal reviews and GTM systems
Strategic Hiring: Identify organizational gaps and lead recruiting for high-priority roles across the Engagement Management organization.
3-4 years of experience in a Chief of Staff/Exec Ops role supporting a rapidly scaling business
Exceptional strategic thinking and execution
Strong commercial instincts and interest in AI
Ability to operate across sales, partnerships, marketing, and recruiting
High ownership, low ego, and comfort operating in ambiguity
Excellent communication and relationship-building skills
$15K relocation bonus (for moving to the Bay Area)
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
401(k) with company match
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor AI Research Fund Grants $5M
One of the biggest challenges facing the industry today is determining whether frontier AI is capable enough to deliver value in real-world settings. A model can perform well on benchmarks and still struggle in production. That’s why investing in research, realistic evaluations, and robust verification is critical.
Mercor is committing $5 million to fund AI research. Award size and mix depend on the project. The grant supports:
The time of experts from Mercor's platform
Researcher hours
API costs
Stipends for event and conference attendance
This is separate from the Mercor Research Fellowship, which funds individual experts (apply HERE) and our $5m of safety funding awards (apply HERE).
What we're looking for
Real-world evaluations: measuring whether benchmark performance translates into reliable performance on realistic tasks and workflows
Environments: building high-fidelity, interactive environments that capture the complexity of real-world work
Long-horizon tasks: evaluating and improving models’ ability to plan, execute, and adapt across extended workflows
Agentic capabilities: tool use, coordination, memory, and autonomous execution
Reasoning and problem-solving: improving performance on complex, ambiguous, or underspecified tasks
Post-training: developing better data, rewards, and training methods to improve model capabilities
Evaluation methodology: creating more robust measures of capability, reliability, and real-world utility
Why us
Funding for researcher time, API costs, and event attendance
Where useful to the work: access to Mercor's expert network for human grading and annotation: lawyers, accountants, engineers, scientists, clinicians
Access to Mercor's internal evaluation infrastructure, subject to review
Introductions to Mercor's network of researchers across frontier labs and academia
Researchers at universities and non-profit research organizations, as well as public benefit corporations and small startups that do not sell AI training data. Awards are made to the researcher’s institution.
People with a specific, well-scoped question: the grant is built around your proposal, not a generic research rotation
Applicants based in the United States or the United Kingdom
Bonus: researchers with experience with agentic evaluation, RL environments, and post-training.
We expect grantees to publish – such as a paper, an open dataset, a public methodology, or a tool the field can use, released under an open license that permits commercial use.
Award terms
Selected grantees will sign Mercor’s research award agreement. Key terms include:
Grantees keep ownership of their work and grant Mercor a non-exclusive license to use it, including commercially.
Mercor may identify grantees and their institutions as award recipients, including by name and logo. Grantees may use Mercor’s logo with Mercor’s approval.
For benchmark and evaluation projects, Mercor receives early access to the benchmark before public release and the exclusive right to build and host a private held-out test set, at Mercor’s cost.
Grantees agree not to work with specified Mercor competitors on substantially similar benchmarks or evaluations during the award and for 12 months afterward.
Grantees are free to publish their findings. Mercor reviews drafts in advance only to remove its confidential information.
Awards are subject to tax documentation, sanctions screening, and periodic progress reports.
How to apply
Submit an Expression of Interest. We expect to see a one- or two-page document. It should contain at least a section on your team, background, and research accomplishments; a section on your proposed research project; and a section on the outputs and impact of the project, with directionally correct timelines and resource requirements. Please do not include confidential or proprietary information in your Expression of Interest. Submitting an Expression of Interest does not obligate Mercor to make an award.
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\n\n\nMercor AI Research Fund Grants $5M\n\nOne of the biggest challenges facing the industry today is determining whether frontier AI is capable enough to deliver value in real-world settings. A model can perform well on benchmarks and still struggle in production. That’s why investing in research, realistic evaluations, and robust verification is critical.\n\nMercor is committing $5 million to fund AI research. Award size and mix depend on the project. The grant supports:\n\n - The time of experts from Mercor's platform\n\n - Researcher hours\n\n - API costs\n\n - Stipends for event and conference attendance\n\nThis is separate from the Mercor Research Fellowship, which funds individual experts (apply HERE https://www.mercor.com/careers/a0a98be0-d856-4129-b500-c0a3e412ef01/) and our $5m of safety funding awards (apply HERE https://jobs.ashbyhq.com/mercor/1d59ce50-4207-4d95-b7fd-5a01e90b0897).\n\n\n\nWhat we're looking for\n\n - Real-world evaluations: measuring whether benchmark performance translates into reliable performance on realistic tasks and workflows\n\n - Environments: building high-fidelity, interactive environments that capture the complexity of real-world work\n\n - Long-horizon tasks: evaluating and improving models’ ability to plan, execute, and adapt across extended workflows\n\n - Agentic capabilities: tool use, coordination, memory, and autonomous execution\n\n - Reasoning and problem-solving: improving performance on complex, ambiguous, or underspecified tasks\n\n - Post-training: developing better data, rewards, and training methods to improve model capabilities\n\n - Evaluation methodology: creating more robust measures of capability, reliability, and real-world utility\n\n\n\nWhy us\n\n - Funding for researcher time, API costs, and event attendance\n\n - Where useful to the work: access to Mercor's expert network for human grading and annotation: lawyers, accountants, engineers, scientists, clinicians\n\n - Access to Mercor's internal evaluation infrastructure, subject to review\n\n - Introductions to Mercor's network of researchers across frontier labs and academia\n\n\n\n\nWHO SHOULD APPLY\n\n - Researchers at universities and non-profit research organizations, as well as public benefit corporations and small startups that do not sell AI training data. Awards are made to the researcher’s institution.\n\n - People with a specific, well-scoped question: the grant is built around your proposal, not a generic research rotation\n\n - Applicants based in the United States or the United Kingdom\n\n - Bonus: researchers with experience with agentic evaluation, RL environments, and post-training.\n\nWe expect grantees to publish – such as a paper, an open dataset, a public methodology, or a tool the field can use, released under an open license that permits commercial use.\n\n\n\nAward terms\n\nSelected grantees will sign Mercor’s research award agreement. Key terms include:\n\n - Grantees keep ownership of their work and grant Mercor a non-exclusive license to use it, including commercially.\n\n - Mercor may identify grantees and their institutions as award recipients, including by name and logo. Grantees may use Mercor’s logo with Mercor’s approval.\n\n - For benchmark and evaluation projects, Mercor receives early access to the benchmark before public release and the exclusive right to build and host a private held-out test set, at Mercor’s cost.\n\n - Grantees agree not to work with specified Mercor competitors on substantially similar benchmarks or evaluations during the award and for 12 months afterward.\n\n - Grantees are free to publish their findings. Mercor reviews drafts in advance only to remove its confidential information.\n\n - Awards are subject to tax documentation, sanctions screening, and periodic progress reports.\n\n\n\nHow to apply\n\nSubmit an Expression of Interest. We expect to see a one- or two-page document. It should contain at least a section on your team, background, and research accomplishments; a section on your proposed research project; and a section on the outputs and impact of the project, with directionally correct timelines and resource requirements. Please do not include confidential or proprietary information in your Expression of Interest. Submitting an Expression of Interest does not obligate Mercor to make an award."},{"id":"b1cb822f-9a71-436b-aba4-d5ef75378291","title":"Client Services Lead, Finance ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-09-23T01:08:10.480+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/b1cb822f-9a71-436b-aba4-d5ef75378291","applyUrl":"https://jobs.ashbyhq.com/mercor/b1cb822f-9a71-436b-aba4-d5ef75378291/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
What You'll Do
Build the Finance Client Function (0 → 1)
Identify, engage, and onboard financial services clients and partners
Test and iterate on service models tailored to finance-sector needs (compliance, data sensitivity, procurement cycles)
Create early playbooks for how Mercor serves finance clients
Account Ownership & Growth
Lead client conversations end-to-end, from scoping through renewal and expansion
Qualify client needs, define mutual value, and drive engagements to close
Structure commercial terms suited to financial institutions' procurement and compliance norms
Contracting & Negotiation
Own negotiations on pricing, scope, timelines, and obligations with finance clients
Work closely with Legal and Finance to move quickly without sacrificing rigor
Navigate data rights, compliance, and security requirements specific to financial services
Stakeholder Management
Act as the primary point of contact for finance-sector clients and senior stakeholders
Manage complex, multi-party relationships (compliance, procurement, technical teams) with clarity and credibility
Align internal teams (Product, Research, Ops, Legal) around finance client priorities
Operate Scrappily, Then Systematize
Start hands-on: build client lists, run outreach, draft docs, close deals yourself
Identify patterns and convert them into repeatable processes as the finance book of business scales
What We're Looking For
Experience
5+ years in Client Service, Account Management, or Commercial roles, serving financial services clients
Proven experience negotiating and closing contracts
Track record managing high-stakes external stakeholders, including compliance/procurement functions
Direct experience working with data products
Required: Prior experience working at or directly serving financial services firms, including private equity, venture capital, investment banking, asset management, or other financial institutions.
Mindset & Skills
Builder mentality: excited by ambiguity and 0→1 problems
Scrappy, resourceful, comfortable with unglamorous work early on
Strong commercial instincts and negotiation skills
Clear, concise communicator with executive presence
Able to operate independently while partnering closely with internal teams
Nice to Have
Experience in fintech, banking, asset management, or financial data platforms
Exposure to data-driven products, AI, or technical stakeholders
Background working cross-functionally with legal and finance teams
Familiarity with financial services compliance and data rights (e.g., SOC 2, GLBA)
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
As a Client Services Lead, you will own Mercor's relationships with healthcare and life sciences clients — providers, payers, pharma, and health-tech companies — from first contact through long-term account growth. You'll sit at the intersection of client management, data strategy, contracting, and stakeholder alignment, ensuring healthcare clients get maximum value from Mercor's expert network and data products, while navigating the sector's unique regulatory and clinical requirements.
This role is highly autonomous and intentionally scrappy: you'll be trusted to build the healthcare client function largely from scratch.
What You'll Do
Build the Healthcare Client Function (0 → 1)
Identify, engage, and onboard healthcare and life sciences clients and partners
Test and iterate on service models tailored to healthcare-sector needs (clinical accuracy, regulatory constraints, data sensitivity)
Create early playbooks for how Mercor serves healthcare clients
Account Ownership & Growth
Lead client conversations end-to-end, from scoping through renewal and expansion
Qualify client needs, define mutual value, and drive engagements to close
Structure commercial terms suited to healthcare organizations' procurement and compliance norms
Contracting & Negotiation
Own negotiations on pricing, scope, timelines, and obligations with healthcare clients
Work closely with Legal and Finance to move quickly without sacrificing rigor
Navigate data rights, privacy, and compliance requirements specific to healthcare (e.g., HIPAA)
Stakeholder Management
Act as the primary point of contact for healthcare-sector clients and senior stakeholders
Manage complex, multi-party relationships (clinical, compliance, technical teams) with clarity and credibility
Align internal teams (Product, Research, Ops, Legal) around healthcare client priorities
Operate Scrappily, Then Systematize
Start hands-on: build client lists, run outreach, draft docs, close deals yourself
Identify patterns and convert them into repeatable processes as the healthcare book of business scales
What We're Looking For
Experience
5+ years in Client Service, Account Management, or Commercial roles, serving healthcare or life sciences clients
Proven experience negotiating and closing contracts
Track record managing high-stakes external stakeholders, including clinical and compliance functions
Direct experience working with data products
Mindset & Skills
Builder mentality: excited by ambiguity and 0→1 problems
Scrappy, resourceful, comfortable with unglamorous work early on
Strong commercial instincts and negotiation skills
Clear, concise communicator with executive presence
Able to operate independently while partnering closely with internal teams
Nice to Have
Experience in healthcare, life sciences, health-tech, or payer/provider organizations
Exposure to data-driven products, AI, or technical/clinical stakeholders
Background working cross-functionally with legal and finance teams
Familiarity with healthcare compliance and data rights (e.g., HIPAA, HITRUST)
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
The Applied AI org builds the systems that turn human expertise into training data for frontier models, task pipelines, expert workflows, evaluation infrastructure, and the services that tie them together. We have synthetic pipelines and modular quality control systems that run in unison to generate highest quality tasks and at scale. All of it runs on backend systems that have to stay reliable, fast, and observable while the volume behind them grows every month.
As a Tech Lead for the Applied AI Backend Systems, you'll own services in that stack: designing the data models, building the APIs, services, Data pipelines that move work through the platform. This is a build role and you'll take a problem that's roughly scoped, ambiguous, make the design calls, ship it to production, and own it afterward, mentor other engineers on the team and grow them.
We're hiring for depth in backend fundamentals rather than any particular domain. If you've built and operated real services, handled the schema migration that couldn't take downtime, found the query that fell over at 10x traffic, designed the retry logic that made a flaky dependency invisible to users, or build a system that recover when things break that's the experience that matters here. You'll work with a talent dense group of engineers who will review your designs and push your thinking.
What you will Do
Own the architecture of the Applied AI backend domain; core services, data models, orchestration systems and the pipeline execution layer that the product and ops team in the org depends on.
Set the technical direction, then stay hands-on enough to build the hardest parts yourself.
You'll take problems that arrive undefined, decide what's worth building, and own the outcome - the scoping is part of the job, write the design, ship the code, instrument it, and keep it healthy in production.
Build and tune high-throughput data and job pipelines: queuing, batching, idempotency, retries, and backpressure. Make the system fast and reliable by adding failure recovery in pipelines, profile hot spots, Agent token and cost attribution, caching issues, and set latency, error, cost budgets you actually hold to.
Own the design review bar for backend work across the org. Mentor senior engineers, make the technical tradeoffs legible to leadership in writing, and raise the standard for how we build.
Provision and manage infrastructure as code using Terraform and at scale. Manage and launch 10s of 1000s of containers, sandbox environments, manage resource allocation and system health.
Participate in on-call for the systems you own, debug production incidents, and write up what you learn in RCCA.
Drive XFN alignment across teams through technical judgment and work directly with product, operations, and research partners to turn ambiguous requirements into systems that ship.
What we are Looking For
8+ years of professional backend engineering experience building and operating production systems with a track record of owning architecture across multiple teams and of decisions that aged well.
Experience mentoring senior engineers, not just junior ones.
Strong fundamentals in backend engineering: data structures, algorithms, concurrency, and writing code that's clear enough for the next person to change.
Hands-on experience with API design - REST, gRPC, or GraphQL, and an understanding of versioning, contracts, and backward compatibility.
Solid database skills: relational data modeling, indexing, query performance, transactions and isolation, and safe migrations. Familiarity with at least one NoSQL or key-value store and when it's the right choice.
Deep, hands-on expertise in distributed systems: queues and event streams, caching, idempotency, rate limiting, and designing for partial failure.
Experience with Data Orchestration and workflow management systems like Airflow, Temporal, Dagster.
Be able to roll your sleeves up and dig deeper into the lower level infrastructure issues container, permissions, logs, traces and find the needle in the haystack.
Experience running services in production: containers, CI/CD, monitoring and alerting, and debugging issues under real traffic.
Comfort with ambiguity you can take a loosely defined problem, ask the right questions, and come back with a plan. Strong opinions, loosely held.
Genuine excitement for agentic development and new technology, fluency with modern AI dev tools (e.g. Claude Code, Cursor, Copilot), and a real passion for writing good code.
Clear written and verbal communication. High ownership, pragmatism, and a bias toward shipping.
Nice to Have
Experience building or integrating with LLM-backed services in production (evaluation, orchestration, or serving).
Familiarity with AI infrastructure providers like Modal, Fireworks, Baseten, Temporal
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
","descriptionPlain":"ABOUT MERCOR\n\n\n\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\n\n \n\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\n\nAbout the Role\n\nThe Applied AI org builds the systems that turn human expertise into training data for frontier models, task pipelines, expert workflows, evaluation infrastructure, and the services that tie them together. We have synthetic pipelines and modular quality control systems that run in unison to generate highest quality tasks and at scale. All of it runs on backend systems that have to stay reliable, fast, and observable while the volume behind them grows every month.\n\n\n\nAs a Tech Lead for the Applied AI Backend Systems, you'll own services in that stack: designing the data models, building the APIs, services, Data pipelines that move work through the platform. This is a build role and you'll take a problem that's roughly scoped, ambiguous, make the design calls, ship it to production, and own it afterward, mentor other engineers on the team and grow them.\n\n\n\nWe're hiring for depth in backend fundamentals rather than any particular domain. If you've built and operated real services, handled the schema migration that couldn't take downtime, found the query that fell over at 10x traffic, designed the retry logic that made a flaky dependency invisible to users, or build a system that recover when things break that's the experience that matters here. You'll work with a talent dense group of engineers who will review your designs and push your thinking.\n\n\n\nWhat you will Do\n\n\n\nOwn the architecture of the Applied AI backend domain; core services, data models, orchestration systems and the pipeline execution layer that the product and ops team in the org depends on.\n\nSet the technical direction, then stay hands-on enough to build the hardest parts yourself.\n\nYou'll take problems that arrive undefined, decide what's worth building, and own the outcome - the scoping is part of the job, write the design, ship the code, instrument it, and keep it healthy in production.\n\nBuild and tune high-throughput data and job pipelines: queuing, batching, idempotency, retries, and backpressure. Make the system fast and reliable by adding failure recovery in pipelines, profile hot spots, Agent token and cost attribution, caching issues, and set latency, error, cost budgets you actually hold to.\n\nOwn the design review bar for backend work across the org. Mentor senior engineers, make the technical tradeoffs legible to leadership in writing, and raise the standard for how we build.\n\nProvision and manage infrastructure as code using Terraform and at scale. Manage and launch 10s of 1000s of containers, sandbox environments, manage resource allocation and system health.\n\nParticipate in on-call for the systems you own, debug production incidents, and write up what you learn in RCCA.\n\nDrive XFN alignment across teams through technical judgment and work directly with product, operations, and research partners to turn ambiguous requirements into systems that ship.\n\n\n\n\nWhat we are Looking For\n\n\n\n8+ years of professional backend engineering experience building and operating production systems with a track record of owning architecture across multiple teams and of decisions that aged well.\n\nExperience mentoring senior engineers, not just junior ones.\n\nStrong fundamentals in backend engineering: data structures, algorithms, concurrency, and writing code that's clear enough for the next person to change.\n\nHands-on experience with API design - REST, gRPC, or GraphQL, and an understanding of versioning, contracts, and backward compatibility.\n\nSolid database skills: relational data modeling, indexing, query performance, transactions and isolation, and safe migrations. Familiarity with at least one NoSQL or key-value store and when it's the right choice.\n\nDeep, hands-on expertise in distributed systems: queues and event streams, caching, idempotency, rate limiting, and designing for partial failure.\n\nExperience with Data Orchestration and workflow management systems like Airflow, Temporal, Dagster.\n\nBe able to roll your sleeves up and dig deeper into the lower level infrastructure issues container, permissions, logs, traces and find the needle in the haystack.\n\nExperience running services in production: containers, CI/CD, monitoring and alerting, and debugging issues under real traffic.\n\nComfort with ambiguity you can take a loosely defined problem, ask the right questions, and come back with a plan. Strong opinions, loosely held.\n\nGenuine excitement for agentic development and new technology, fluency with modern AI dev tools (e.g. Claude Code, Cursor, Copilot), and a real passion for writing good code.\n\nClear written and verbal communication. High ownership, pragmatism, and a bias toward shipping.\n\n\n\n\nNice to Have\n\nExperience building or integrating with LLM-backed services in production (evaluation, orchestration, or serving).\n\nFamiliarity with AI infrastructure providers like Modal, Fireworks, Baseten, Temporal\n\n\n\nBenefits\n\nBi-annual performance bonus structure\n\nGenerous equity grant vested over 4 years\n\nUp to $15k Relocation bonus\n\n$10K housing bonus (if you live within 0.5 miles of our office)\n\n$1.5K monthly stipend for meals\n\nFree Equinox membership\n\n$200 monthly laundry reimbursement\n\n$200 monthly personal wellness reimbursement\n\nHealth, Dental, Vision insurance"},{"id":"39a17b9c-60e6-4b22-a53d-3c17a93299cc","title":"Corporate Finance Senior / Associate","department":"Finance ","team":"Finance ","employmentType":"FullTime","location":"Mercor HQ, 181 Fremont Street","secondaryLocations":[],"publishedAt":"2026-10-07T17:55:51.703+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/mercor/39a17b9c-60e6-4b22-a53d-3c17a93299cc","applyUrl":"https://jobs.ashbyhq.com/mercor/39a17b9c-60e6-4b22-a53d-3c17a93299cc/application","descriptionHtml":"Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
We are looking for a Corporate Finance Senior / Associate to join Mercor's Finance team and help lead the company's core corporate finance activities at our headquarters in San Fransisco.
You will sit at the intersection of nearly every part of Mercor, from our rapidly growing core business to new bets, M&A, capital markets, and other strategic initiatives. You will work closely with leaders across the business, our Business Operations partners, the Data and Automation team, and the broader Finance organization to understand how the company operates and translate those operating drivers into financial outcomes.
You will own and continuously develop Mercor's central corporate financial model and support a broad range of strategic finance priorities, including forecasting, capital allocation, financing and capital markets, M&A, and fundraising. You will also help shape how we communicate Mercor's financial performance and trajectory to investors, lenders, and other external stakeholders.
This is a highly analytical, cross-functional, and autonomous role with significant exposure to Mercor's leadership team. We are looking for someone who can take an ambiguous problem, independently determine how to approach it, and drive a workstream from analysis through execution. Your work will directly influence how Mercor plans, invests, allocates capital, and executes on its next stage of growth.
Own and continuously develop Mercor's central corporate financial model, including forecasts and upside and downside scenarios, and independently identify opportunities to improve how we model the business.
Drive company-wide forecasting and budgeting in partnership with Finance, Business Operations, the Data and Automation team, and business leaders.
Partner with teams across the business to understand key operating drivers and unit economics, translate them into financial outcomes, and use those insights to improve decision-making and accelerate growth.
Support capital markets and financing initiatives, including managing external relationships, fundraising, and executing financing transactions.
Support M&A and other strategic transactions from initial evaluation through diligence and execution, including independently driving analyses, diligence workstreams, and cross-functional coordination.
Evaluate investments and capital allocation decisions, turning complex financial and operating information into clear recommendations for executive leadership.
Take ownership of ambiguous, cross-functional projects, develop the workplan and analytical framework, and drive execution with autonomy.
4–6 years of finance experience. Investment banking experience is strongly preferred, particularly in combination with private equity, investing, strategic finance, or operating experience at a high-growth startup.
Exceptional financial modeling capabilities. You enjoy the technical work and can independently build detailed, structurally sound models from the ground up, while exercising good judgment about when a quick analysis is enough.
High agency, resourcefulness, and intellectual curiosity. You are a self-starter who can take a loosely defined objective, determine what needs to happen, and drive it forward without waiting for a playbook.
Strong strategic judgment. You can step back from the details, understand the underlying business question, and focus your analysis on the decisions and outputs that matter most.
Strong understanding of financing structures, capital allocation, and how financial decisions affect the broader business.
Exceptional project management, cross-functional, and communication skills. You can manage complex workstreams, coordinate across a large number of stakeholders, navigate ambiguity and shifting priorities, build strong external relationships, present directly to executive leadership, and drive projects from idea through execution.
$15,000 relocation bonus
$10,000 housing bonus
$1,500 per month meal stipend
Free Equinox membership
Monthly laundry reimbursement
Monthly personal wellness reimbursement
Health, dental, and vision insurance
401(k) with company match
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As a Research Scientist Intern at Mercor, you’ll work on research at the frontier of post-training, reinforcement learning with verifiable rewards (RLVR), data generation, and model evaluation.
You’ll investigate how datasets, rewards, and training methods affect the capabilities and behavior of large language models. This may include designing controlled experiments, developing new evaluation methodologies, conducting systematic failure analysis, and testing approaches to improve tool use, agentic behavior, and real-world reasoning.
You’ll work closely with research scientists, research engineers, and domain experts to turn open-ended questions into rigorous experiments. Your work will contribute to Mercor’s research agenda and may support external publications, benchmark releases, and the development of frontier AI systems.
Develop and investigate research questions related to post-training, RLVR, data quality, and model evaluation.
Design and run controlled experiments to understand how datasets, rewards, and training strategies affect model performance.
Study reward-shaping and post-training methods, including approaches such as GRPO and DAPO.
Develop methods for measuring data quality, usability, and performance uplift on key benchmarks.
Design and evaluate datasets, rubrics, evaluators, and scoring frameworks for complex model capabilities.
Conduct systematic error analysis to identify model failure modes and opportunities for improvement.
Analyze experimental results and communicate findings through clear reports, research artifacts, and presentations.
Build the research tooling and data pipelines needed to conduct experiments at scale.
Collaborate with research scientists, research engineers, applied AI teams, and domain experts producing training and evaluation data.
Contribute to research publications, benchmark releases, and other public research outputs where appropriate.
Currently pursuing a master’s or PhD in computer science, machine learning, statistics, mathematics, or another relevant field.
Demonstrated ability to formulate research questions, design experiments, and draw sound conclusions from empirical results.
Demonstrated experience in at least one of the following:
Training, fine-tuning, or evaluating language models.
Agentic AI system, RL environments
Developing benchmarks, evaluation methodologies, or data-quality measures.
At least one publication or open source project.
Strong programming skills, particularly in Python, and the ability to write reliable research code.
Familiarity with machine learning fundamentals, experimental design, and statistical analysis.
Intellectual curiosity.
Comfort operating in a fast-paced research environment with rapid iteration and a high degree of ownership.
Previous research experience in language models, reinforcement learning, model evaluation, or post-training.
Experience training, fine-tuning, or evaluating language models.
Familiarity with RLVR techniques, reward modeling, or agentic AI systems.
Experience developing benchmarks, evaluation methodologies, or data-quality measures.
Research publications or submissions at competitive CS conferences such as ACL, NeurIPS, ICML, ICLR, or EMNLP.
Research papers, technical reports, open-source projects, or other work samples demonstrating relevant skills.
Why Mercor
Impact: Your work powers how AI labs train and deploy their models
Learning: Get early exposure to frontier AI research and engineering
Growth: Work with a high-velocity team where interns ship to production
Benefits
Mentorship from experienced researchers.
Work on real, high-impact projects.
$1.5K monthly stipend for meals
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Free Equinox membership
Team events and offsites.
Potential full-time return offer.
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the role:
We're looking for a Marketing Manager to run social, content, and campaigns across Mercor's marketing team.
Mercor is one of the fastest-growing companies in AI, and marketing runs with a small team and a big surface area: model launches, research, our podcast, events, customer campaigns, and the brand itself. You'll be hands-on across all of it, owning programs end to end from brief to launch to results.
This role suits someone early in their career who wants range and ownership. You'll work closely with product marketing, design, research, and GTM.
Key responsibilities:
Campaign execution: Plan and run integrated campaigns across email, social, web, and events, from the brief through launch and reporting.
Social: Run Mercor's presence on X and LinkedIn. Track what AI researchers, founders, and VCs are talking about. You are able to turn launches, research, and news into moments that take over the feed.
Podcast: Drive distribution for the podcast, including the launch plan and social clips for every episode.
Content: Write blog posts, emails, landing pages, and launch assets that meet a high quality bar.
Channels and web: Manage our owned channels and marketing site updates. Write and ship new landing pages and run experiments.
Must haves:
2-4 years of marketing experience, ideally at a startup or high-growth company.
You live on X. You follow AI researchers, VC and tech enthusiasts on X and know what drives conversation.
You've run social for a brand or grown your own account.
You're an excellent writer and editor who can write for both technical and business audiences.
You have hands-on experience across more than one channel or area (content, email, social, events, web).
You use AI tools every day and have built at least one workflow or automation that saves time, but don’t rely on it for your writing.
You're scrappy and adaptable. You thrive in ambiguity, move fast, and are comfortable with changing priorities.
You're organized and detail-oriented. You can run several programs at once without dropping anything.
Bonus
Experience at an AI or developer-tools company
Experience editing short-form video or podcast clips
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the role:
Evals and post-training are among the largest new markets in AI, and the category is still being defined. We’re looking for a Senior Product Marketing Manager to shape that category and own how Mercor’s offerings are positioned and sold.
Mercor works with the world’s leading AI labs, application-layer companies, and a growing set of enterprises to supply the human expertise behind frontier models. Enterprise evals are one of our top priorities. The buyers are technical, and the market moves fast.
You’ll work directly with product, research, and GTM, and partner with growth marketing on driving pipeline.
Key responsibilities:
Category creation and point of view: Turn Mercor’s point of view into work technical buyers cite, from research-backed narratives to executive talks.
Positioning and messaging: Own the core narrative for Mercor’s evals and post-training offerings, including value props by segment, messaging frameworks
Launches: Plan and run product launches end to end with product, research, and marketing so they land with technical buyers, move deals, and make noise online.
Buyer research: Become the internal expert on how AI researchers, data leads, and enterprise AI teams buy. Bring what you learn back to product and leadership.
Sales enablement: Give our engagement managers the pitch, demo storyline, and proof points they need, and keep them current as the products change.
Competitive intelligence: Own competitive positioning, battlecards, and objection handling; use competitive input to inform pricing and packaging decisions.
Customer proof: Partner with customer marketing to turn evals and post-training customers into case studies and references.
Campaigns: Partner with growth in the interim on campaigns that build pipeline for evals and post-training.
Must haves:
You have 8-10 years of product marketing experience at an early-stage or high-growth B2B company.
You’ve helped define or reshape a category.
You’ve worked on a small marketing team and can flex across responsibilities.
You know how to market to technical buyers, and you follow evals and post-training research closely enough to debate methodology with a researcher.
You’re an exceptional writer with a high bar for quality.
You’ve built product marketing processes from scratch, like launch tiering or an enablement cadence.
You build relationships and earn trust with senior stakeholders across product, research, and sales.
You use AI tools to speed up your own work and have built workflows beyond chat.
Bonus
Experience at a company that sells to or partners with AI labs
Background in AI infrastructure, data, or developer tools marketing
Familiarity with the AI benchmarking or evals landscape
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor is hiring at a pace few companies ever reach. New people start every week across Engineering, Product, Delivery and Operations, and the programs that welcome, develop and keep them need to run with the same precision as the rest of the business.
As People Programs Specialist, you'll run Mercor's core employee programs day to day: universal onboarding, manager development and employee experience. You'll be the first face new hires meet, the operator who keeps every cohort on schedule, and the person who turns participant feedback and program data into clear recommendations for People leadership.
You'll partner closely with Talent, Strategic Operations, IT, Workplace, Finance and managers across the company. This is a hands-on role for someone who has run People programs before and wants to run them at a company scaling this fast.
Universal onboarding
Run company-wide onboarding cohorts end to end, from pre-start logistics and communication through day one, orientation and 30, 60 and 90 day check-ins
Host and facilitate onboarding sessions that give every new hire a strong, consistent foundation before their function-specific training starts
Send managers a weekly start list with enough lead time to prepare, and coordinate IT, Workplace and Talent so every person is set up on day one
Partner with Strategic Operations on the handoff into function-specific onboarding and ongoing upskilling
Track completion, new hire survey results and manager-reported ramp, and report trends and recommended improvements to the Head of People
Manager development
Operate Mercor's manager development program: cohort scheduling, participant communication, facilitator coordination and session logistics
Collect attendance, feedback and outcome data, and prepare program reviews for People leadership
Employee experience
Run perks, recognition and community programs, from day-to-day administration and employee questions to vendor management and spend tracking against budget
Keep program policies clear and current, and communicate them so people actually read them
Bring forward ideas for new programs, with the cost, the problem they solve and how we'd measure them
People resources
Maintain the People resource hub so employees and managers can find answers without asking
Write and maintain runbooks and employee-facing guides for every program you run
Use our ticketing and knowledge base tools, and AI, to reduce repeat questions and manual work
Proven program experience
3 to 5+ years of hands-on program management in People programs, onboarding, learning and development, employee experience or People operations, ideally at a high-growth technology company
You've run a company-wide onboarding program or a comparable recurring program across many teams, and can show how you measured and improved it
Experience coordinating vendors, budgets and external facilitators
Operational excellence
Exceptional organization and attention to detail across several programs running at once
Ability to independently own high-volume, time-sensitive processes and resolve problems without escalation, while knowing when a decision belongs with someone else
Comfort with data: survey results, completion analytics and spreadsheets, turned into clear findings
Communication and presence
Confident facilitator, comfortable in front of a room of new hires or a group of managers
Clear, warm writing for employees, managers and outside partners
A people-first presence: you're the person employees trust to point them in the right direction
Startup intensity
High urgency and ownership of execution, in an environment that moves fast and changes often
Fluent with AI tools and actively looking for ways to make People work faster and more accurate
High discretion with confidential employee information
Experience running onboarding or employee programs at a company scaling quickly past several hundred people
Experience with Rippling, Notion and a ticketing or service desk tool
Event or offsite planning at scale
Working knowledge of leave, benefits or employment compliance
Run the programs that shape how people experience one of the fastest-scaling AI companies in the world
Work directly with Mercor's Head of People on programs that reach every employee
Competitive base and meaningful equity
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
As Chief of Staff to the Head of Product, you'll be the operational backbone of an org that helps the world's leading AI labs and enterprises transform human expertise into better AI models. Mercor is organizing humanity's expertise into better AI models for every lab and enterprise — and you'll make the team building it run.
You'll work directly with the Head of Product and leadership across every product area — Marketplace, Studio (annotation), RL Environments, and the Eval Platform — turning a fast-moving, multi-team org into a coherent, predictable machine. You'll balance long-term operating strategy with rapid execution, owning the cross-cutting work that falls between teams and directly shaping how well the product org performs. You'll also shape Mercor's customer-facing product narrative, driving deeper relationships across the AI ecosystem
Run the operating rhythm: Establish and drive planning and review cadences across the product org, and prep leadership meetings end-to-end — agendas, pre-reads, the framing data, and follow-through on decisions.
Competitive intel
Hiring
Standardize roadmaps: Maintain a consistent format and quality bar across all product-area roadmaps so leadership can compare, sequence, and resource them apples-to-apples.
Own customer communication: Own the monthly product-offering update we send to customers: coordinate inputs from each area, edit to one voice, and ship it on schedule.
Build connective tissue: Stand up and coordinate the interfaces between Product and adjacent functions like product marketing and developer relations, so launches and roadmaps plug in cleanly.
Strengthen the team: Support product recruiting, own PM onboarding, and coordinate the performance-review process — keeping timelines, calibration, and the bar consistent.
Get in the weeds: Take on the highest-leverage cross-cutting initiatives that lack a natural owner, and run them to done.
Experience: 2+ years in a chief-of-staff, product-ops, strategy & ops, or PM role; exposure to fast-scaling teams preferred.
Product Intuition: You have a strong instinct for what a good product looks like and what's worth building, you can pressure-test a decision on the merits rather than procedurally.
High Ownership: You take full accountability for outcomes, not just outputs, and nothing drops on your watch.
Operational Excellence: You build lightweight processes that create clarity without adding bureaucracy.
Structured Communication: You write crisp, exec-ready docs and turn ambiguity into a clear plan others can run with.
Cross-Functional Influence: You get things done across teams without formal authority, earning trust from ICs and leadership alike.
Judgment & Discretion: You handle sensitive information and competing priorities with sound judgment and low ego.
Balance of Rigor & Vision: Equally comfortable running the numbers and framing the strategic narrative behind them.
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor produces all sorts of data of data types, for AI labs and enterprise customers. We're hiring someone to own pricing structures across our data types.
This person will build the pricing models, rate cards, and margin frameworks to ensure pricing is consistent and defensible.
Acquisition pricing & cost modeling (buy side)
Establish fair market value for the data we buy — by data type, domain, and end buyer — and set the acquisition cost ceilings that bound what we'll pay
Track competitor bidding behavior and maintain the cost curves that tell us when to pay up to win a corpus and when to walk
Model fully-loaded cost to serve: acquisition price, extraction, human QC, anonymization/PII, and LLM inference — not just what we pay the vendor
Define the priceable unit for each data type — per repo, per file, per video minute, per audio hour — and the quality attributes that move price within a unit
Monetization & margin strategy (sell side)
Design pricing and packaging frameworks for data by data type, volume, format, and customer segment
Build rate cards and tiered pricing for recurring, repeatable data products
Own unit economics per deal and per data product, including transfer pricing, internal chargeback, and direct vs. indirect revenue attribution across account P&Ls
Build the pricing/forecasting toolkit Finance and leadership use to evaluate new data products before launch
Continuously test and refine pricing using win/loss data, renewal behavior, and market feedback
6+ years in pricing strategy, monetization, revenue operations, or a related analytical/strategy role — ideally at a data, marketplace, or B2B SaaS company
Strong financial/quantitative modeling skills — fluent in Excel/Sheets; SQL a strong plus
Track record of building pricing models from scratch, not just tuning ones already in place
Comfortable operating with real ambiguity — public benchmarks for pricing data assets are thin, so structured judgment matters as much as data
Sharp cross-functional communicator — this person works daily with Sourcing, Sales, Finance, and Product
Experience pricing a two-sided marketplace (a cost/supply side and a demand/sell side), not just a single-sided product
Background in AI training data, or market data
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K proximity bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance