Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
This is a senior, hands-on engineering role for builders who want full ownership.
As a Staff Fullstack Engineer at Surge, you will design and build the core systems that power our platform, owning everything from frontend product decisions to backend architecture. You’ll operate with a high degree of autonomy, make consequential technical decisions, and ship quickly.
We are a small, dynamic team operating at the center of the AI ecosystem. You’ll collaborate closely with engineering leaders and ML practitioners from top technology companies to build fast, reliable, and scalable tools that support advanced AI training techniques.
7+ years of experience building and shipping production software
Demonstrated experience leading projects with significant scope and ambiguity
Strong fullstack background building and maintaining applications using React/TypeScript and Python or Ruby on Rails
Product-focused mindset: you care deeply about usability, performance, and maintainability, and you ship features that solve real-world problems
Autonomous self-starter: you thrive in a small team environment and take ownership from idea to production
Excellent communication skills: you can clearly explain technical decisions and trade-offs to other senior engineers
Startup experience (early-stage engineer or founder experience strongly preferred)
CS degree from a top school or equivalent STEM background
Design and build core fullstack systems that power Surge’s platform
Own frontend product decisions and backend architecture for high-impact workflows
Build scalable systems for data collection, labeling, and evaluation
Create fast, reliable, and intuitive tools used by the world’s leading AI labs
Take ownership from idea to production, iterating quickly while maintaining a high bar for quality
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
This is a senior, hands-on engineering role for builders who want full ownership.
As a Staff Product Engineer at Surge, you will own the direction and execution of critical products that sit at the center of modern AI development. You’ll operate with a high degree of autonomy, make consequential technical and product decisions, and ship quickly.
We are a small, dynamic team operating at the center of the AI ecosystem. You’ll collaborate closely with engineering leaders and researchers from top technology companies to build products that support advanced AI training techniques.
7+ years of experience building and shipping production software
Demonstrated experience leading projects with significant scope and ambiguity
Product-focused mindset: you thrive on rapidly shipping features and products that solve real-world problems
Passion for AI ethics: you’re committed to making AI models safer and more useful for society
Excellent communication skills: you can clearly explain decisions and trade-offs to other senior engineers
Startup experience (early-stage engineer or founder strongly preferred)
Experience with Python or Ruby on Rails, and React/Typescript
CS degree from a top school or equivalent STEM background
Develop innovative solutions to enhance annotation efficiency using the latest AI advancements.
Create intuitive interfaces for data exploration and visualization, including tools for RLHF processes.
Design and implement systems for large-scale data processing to support AI model training and evaluation.
Build interactive products to effectively communicate complex instructions to our workforce.
Contribute to products that facilitate the collection and analysis of human feedback for RLHF and other AI training methodologies.
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We’re building a platform that powers the world's most powerful models in partnership with companies like OpenAI, Anthropic, Meta, and Google.
At Surge, we believe the path to AGI isn’t just about scaling compute—it’s about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We’ve run a profitable business from day one without raising venture funding.
We’re looking for a rare operator — someone who can walk in, figure out what needs to happen, build the plan, and execute it. No playbook required. You’ll own growth initiatives end-to-end across recruiting, reactivation, and new audience acquisition at Surge AI. You’ll work across functions, bring structure to ambiguous problems, and drive outcomes without hand-holding.
GM: You’ll own acquisition, reactivation, and retention efforts across contributor pools, with a relentless focus on quality. Partner with an Operational Owner to ensure volume and speed targets are met- consistently.
Platform engagement: Own the strategy and execution for increasing the amount of work done on the Surge platform — identifying levers, running experiments, and scaling what works.
Workforce recruiting: Define and lead the approach for acquiring specialized contributors — accountants, coders, and other skilled workers — through marketing and non-marketing channels (i.e. partnerships, conferences, community groups) alike.
Reactivation: Build and own the strategy to re-engage lapsed workforce segments, from diagnosis through execution and iteration.
Cross-functional project management: Manage assigned initiatives from kickoff to outcome, aligning stakeholders across teams without losing momentum.
Channel experimentation: Test and learn across paid, organic, partnerships, and non-marketing levers for each problem you own. Know what’s working and double down.
Required
Strong data and analytical skills: You make decisions from data. You can pull your own numbers, build models, identify trends, and communicate their meaning to any audience. This is a hard requirement.
AI / LLM knowledge: You have familiarity with the AI ecosystem — how models are built, evaluated, and improved — and can speak credibly to the space.
Paid and organic channel experience: You’ve run campaigns across both paid and organic channels and understand the tradeoffs between them.
Exceptional communication: You write clearly, speak concisely, and can align stakeholders across functions without anyone feeling out of the loop.
Comfort with ambiguity: You don’t wait for a perfect brief. You scope the problem, form a hypothesis, and get moving. You update as you learn.
Ownership mentality: You track your work, manage your deadlines, and don’t let things slip. You close the loop without being asked.
Fast-paced by default: You’re energized (not drained) by a moving target. Changing priorities don’t derail you — they’re just part of the job.
Cross-functional fluency: You know how to work with product, ops, engineering, and leadership. You build trust quickly across teams.
Senior-level experience: You’ve owned something end-to-end before. You know what “good” looks like because you’ve built it.
Nice to Have
Coding ability or strong technical literacy
Two-sided marketplace or platform experience
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We’re building a platform that powers the world’s most powerful models in partnership with companies like OpenAI, Anthropic, Meta, and Google.
At Surge, we believe the path to AGI isn’t just about scaling compute—it’s about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. We’ve run a profitable business from day one without raising venture funding.
We’re looking for a strategic, hands-on marketer who owns the full lifecycle of how we market our workforce — from first touch to long-term retention. You’ll lead lifecycle marketing and email, bring a strong intuition for user experience and design, and have the range to collaborate closely with product marketing as we grow.
This is a role for someone who thinks in journeys, not blasts. You understand that a great email is also a great UX decision, and you bring both the strategic vision and the executional rigor to make it happen.
Experimentation & productizing playbooks: Spearhead experiments to further develop and uplevel our marketing platform. Productize and scale tools and playbooks that can be used by all members of the marketing team.
Lifecycle marketing strategy: Own the end-to-end lifecycle marketing program for our contributor workforce — from onboarding and activation through engagement and re-engagement. Define the strategy, build the infrastructure, and continuously optimize based on data.
Performance marketing: Run experiments across creative, branding, value props, and copy for all worker profiles on several paid channels in order to build best practices that other marketers on the team can readily adopt.
Email marketing: Lead the design, copywriting, segmentation, and performance analysis of all email programs. Own deliverability, A/B testing, and a relentless cadence of iteration.
UX-informed communication design: Apply your UX/UI sensibility to craft communications that feel intuitive and delightful — not just functional. Partner with design and product to ensure messaging consistency across in-app and out-of-app touchpoints.
Reactivation: Build and own the strategy to re-engage lapsed contributors, from diagnosis and segmentation through execution and iteration.
Product marketing collaboration: Partner with the broader marketing and product teams on positioning, messaging, and go-to-market for new platform features and contributor segments. You’ll dip into product marketing work where there’s leverage.
Cross-functional collaboration: Work closely with product, ops, and growth to align on initiatives, inform the roadmap, and ensure that lifecycle touchpoints reflect what’s happening across the platform.
Required
Data and analytical fluency: You pull your own numbers, build models when you need to, and communicate findings clearly to any audience. This is a hard requirement.
Lifecycle marketing expertise: You’ve owned lifecycle programs end-to-end — onboarding, engagement, retention, reactivation — and have strong opinions about what makes them work.
Email marketing mastery: Deep hands-on experience with ESP platforms, segmentation, deliverability, A/B testing, and performance analysis. You’ve built programs from scratch and scaled them.
UX/UI background or strong design sensibility: You’ve worked in or alongside UX/UI — whether as a designer, a marketer who codes and mocks up templates, or someone who just can’t send a bad-looking email. You think about user experience when you write a subject line.
Exceptional writing: Your copy is clear, concise, and audience-aware. You write emails people open and CTAs people click.
Product marketing range: You’re comfortable contributing to positioning and messaging work, writing for new feature launches, and collaborating with product teams on go-to-market.
Comfort with ambiguity: You don’t wait for a perfect brief. You scope the problem, form a hypothesis, and get moving. You update as you learn.
Ownership mentality: You track your work, manage your deadlines, and close the loop without being asked.
Senior-level experience: You’ve owned something meaningful end-to-end before. You know what “good” looks like because you’ve built it.
Nice to Have
Hands-on HTML/CSS experience for email template building
AI / LLM industry familiarity — how models are built, evaluated, and improved
Two-sided marketplace or platform experience
Familiarity with Figma and Iterable
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As an AI Programs Analyst focused on the Finance Domain, you'll lead finance-focused AI initiatives that directly impact our products and customers. You'll leverage your deep understanding of financial concepts — modeling, analysis, accounting standards, risk frameworks — to ensure our AI programs produce expert-level outputs for finance use cases.
This role is ideal for someone with a strong finance foundation who thrives in rapidly scaling, high-ambiguity environments. You should be able to seamlessly pivot between customer calls with financial institutions, hands-on project execution, and strategic conversations about how AI can transform financial workflows.
Lead finance-domain AI programs — Own delivery of AI training, evaluation, and data projects in areas like financial analysis, equity research, credit assessment, regulatory compliance, and quantitative modeling.
Serve as the finance expert — Provide expert-level guidance and design quality frameworks to ensure AI outputs meet the rigor expected by finance professionals.
Drive cross-functional execution — Manage multiple simultaneous projects, set timelines, and coordinate across engineering, operations, and customer teams.
Bridge finance and AI — Translate domain knowledge into actionable guidance for AI/ML teams while interfacing with financial services clients to scope requirements and deliver value.
2–5 years in finance roles such as investment banking, equity research, FP&A, asset management, risk, audit, or financial consulting. CFA or CPA is a strong plus.
Strong analytical skills with comfort in financial modeling, data analysis, and interpreting complex financial statements.
Track record of managing complex projects in fast-paced environments with the ability to navigate ambiguity and balance competing priorities.
Strong interpersonal skills that enable you to influence without authority and communicate financial concepts to technical and non-technical audiences.
Deep interest in AI systems — direct AI/ML experience valued but not required.
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Research Engineer, Coding Evaluation & Training Data at Surge, you'll sit at the intersection of software engineering and product to build and run the systems that teach frontier models how to code.
You’ll own end-to-end coding data projects for top AI labs, designing tasks, RL environments, and evaluation schemes that reflect real-world software engineering. This is an ideal role for a software engineer who wants to keep using their engineering skill set every day, but is most excited by training data quality, agentic evaluation, and system design (humans + models + tools) rather than traditional product feature work.
Own end-to-end coding data projects, from initial scoping and pilot design through execution, iteration, and scale-up.
Design agentic training workflows and task structures that mirror real-world SWE work (e.g., refactoring, debugging, code review, large-repo navigation, tool use).
Define and iterate on rubrics, golden sets, and reward signals that capture true engineering value, not just “does it compile.”
Evaluate data and worker output with strong SWE taste, and make calls about what meets the bar for frontier training.
Design and run qualification processes for coding workers, including hands-on assessments of their coding ability.
Set up or partner on complex technical environments (e.g., containers, repos, test harnesses, sandboxes, code execution infrastructure).
Partner with technical staff at our clients to translate high-level training goals into concrete projects and technical environments.
Collaborate closely with Surge engineering, product, and operations to improve our coding data products, internal tools, and execution processes.
3–6+ years of professional software engineering experience building and maintaining real systems.
Strong coding ability in at least one mainstream language and comfort working in production codebases.
High “taste” for good engineering: you care about correctness, code quality, and how real engineering teams actually work.
Ability to reason about and debug technical environments, including containers, dependencies, and automated test setups.
Interest in owning projects end-to-end, including scoping, workflow design, execution, and continuous improvement.
Excellent written and verbal communication skills, with the ability to speak credibly with senior client engineers and translate fuzzy goals into actionable plans.
Excitement about AI/ML systems and the role of data, evaluation, and reward design in improving agentic coding capabilities.
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like, Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Software Engineer, Coding Evaluation & Training Data at Surge, you'll sit at the intersection of software engineering and product to build and run the systems that teach frontier models how to code.
You’ll own end-to-end coding data projects for top AI labs, designing tasks, RL environments, and evaluation schemes that reflect real-world software engineering. This is an ideal role for a software engineer who wants to keep using their engineering skill set every day, but is most excited by training data quality, agentic evaluation, and system design (humans + models + tools) rather than traditional product feature work.
Own end-to-end coding data projects, from initial scoping and pilot design through execution, iteration, and scale-up.
Design agentic training workflows and task structures that mirror real-world SWE work (e.g., refactoring, debugging, code review, large-repo navigation, tool use).
Define and iterate on rubrics, golden sets, and reward signals that capture true engineering value, not just “does it compile.”
Evaluate data and worker output with strong SWE taste, and make calls about what meets the bar for frontier training.
Design and run qualification processes for coding workers, including hands-on assessments of their coding ability.
Set up or partner on complex technical environments (e.g., containers, repos, test harnesses, sandboxes, code execution infrastructure).
Partner with technical staff at our clients to translate high-level training goals into concrete projects and technical environments.
Collaborate closely with Surge engineering, product, and operations to improve our coding data products, internal tools, and execution processes.
2–6+ years of professional software engineering experience building and maintaining real systems.
Strong coding ability in at least one mainstream language and comfort working in production codebases.
High “taste” for good engineering: you care about correctness, code quality, and how real engineering teams actually work.
Ability to reason about and debug technical environments, including containers, dependencies, and automated test setups.
Interest in owning projects end-to-end, including scoping, workflow design, execution, and continuous improvement.
Excellent written and verbal communication skills, with the ability to speak credibly with senior client engineers and translate fuzzy goals into actionable plans.
Excitement about AI/ML systems and the role of data, evaluation, and reward design in improving agentic coding capabilities.
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Business Development Manager at Surge, you'll be a key driver of our growth strategy, identifying and cultivating strategic partnerships with our customers and non-customers alike. You'll work closely with our team to create long-term value through innovative collaborations and new market opportunities.
Identify and pursue strategic partnership opportunities with enterprise companies in the AI and machine learning sectors
Develop and execute comprehensive business development strategies aligned with Surge's goals
Build and maintain relationships with key decision-makers in target organizations
Negotiate complex deals and partnerships that drive mutual value
Collaborate with internal teams and stay abreast of industry trends to ensure successful implementation of partnerships
Experience in business development or strategic partnerships in tech/AI, with a proven track record of closing high-value deals
Strong understanding of the AI/ML landscape, coupled with excellent communication skills to articulate complex value propositions to C-level executives
Strategic thinker with adaptability to thrive in a fast-paced startup; Bachelor's degree required, MBA or advanced degree a plus
About Us
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
The Role
We're looking for our first dedicated internal Controller to own our accounting function end to end. Surge has grown fast and profitably, and our accounting needs have grown with it: complex revenue arrangements with the world's largest AI labs and a global workforce. You'll build the accounting processes and systems that let us scale with confidence, and you'll be hands-on while you do it.
What You'll Do
Own the monthly, quarterly, and annual close, and drive it toward faster, cleaner, more automated cycles
Ensure GAAP-compliant financials, with particular depth in revenue recognition for usage-based and milestone-based enterprise contracts
Own accounts payable, accounts receivable, billing, and collections, including invoicing at enterprise scale
Manage accounting for our global workforce, including contractor payments and payroll in partnership with our PEO
Design and implement internal controls appropriate for our stage, and strengthen them as we grow
Coordinate federal, state, and international tax compliance with outside advisors
Manage relationships with outside accountants and tax advisors, and grow the accounting team over time
Evaluate and implement accounting systems and tooling that scale with the business
Partner with our Director of FP&A on the handoff between actuals and planning, so reporting and forecasting run off the same numbers
Work closely with Legal and People on contract structuring, compensation, and compliance
What We're Looking for
8+ years of accounting experience, ideally including time as an Assistant Controller or accounting lead at a high-growth company
CPA strongly preferred, with strong GAAP fluency and hands-on ASC 606 experience for enterprise revenue
Comfort with international operations, including global payroll and contractor payments across jurisdictions
Builder mentality: you've stood up processes and systems from scratch, not just inherited them
Self-sufficient and resourceful. You figure things out without needing hand-holding
Clear communicator who can explain accounting judgments to non-finance audiences, including leadership
Hands-on builder who likes to get in the weeds
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Business Analyst at Surge, you'll lead initiatives that directly impact our products and our customers. You'll collaborate closely with engineering and operations teams’ to solve our most complex challenges.
This role is ideal for someone who is early on in their career and thrives in rapidly scaling, high-ambiguity environments. You should be able to seamlessly pivot between daily customer calls, detailed execution in operations and product, and strategic business development conversations.
Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features.
Drive execution of multiple simultaneous, cross-functional projects and/or programs.
Effectively set timelines and manage teams to deadlines.
Interface with a variety of technical and non-technical stakeholders.
Experience in program management or related roles within high-performing product companies, with a proven track record of navigating ambiguity and executing complex projects.
Have strong interpersonal skills that enable you to influence without authority, build cross-organizational support, cooperation and action.
Have a track record for being able to successfully organize, implement and manage complex programs and projects.
Are used to working through trade-offs, balancing competing priorities, and having your mind changed.
Deep interest in AI systems — direct AI/ML experience valued but not required.
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Strategic Partnerships Manager, you'll be the primary point of contact for our key accounts, responsible for nurturing relationships and ensuring customer success. You'll work closely with ML teams to understand their unique challenges and leverage our platform to deliver exceptional value in AI language model training.
Manage key accounts as a trusted advisor, developing a deep understanding of clients' AI strategies and overseeing high-quality data projects to ensure they meet SLAs and goals
Lead cross-functional collaboration, interfacing with engineering and operations teams while supervising project runners to ensure excellent deliverables and timely execution, leveraging expertise in data quality assessment and improvement methodologies
Drive client relationship management by maintaining strong connections, ensuring satisfaction, addressing concerns, and acting as the primary point of contact
Experience in account management or project leadership in tech or AI-related fields, with a proven track record of successfully delivering complex solutions
Resourceful problem-solver with a strong grasp of AI and machine learning concepts, particularly in natural language processing, able to translate technical requirements into actionable project plans
Self-motivated professional with excellent communication skills, capable of articulating complex technical solutions and independently optimizing systems to meet client needs
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Customer Success Manager, you'll be the primary point of contact for our customers, responsible for nurturing relationships and ensuring customer success. You'll work closely with ML teams to understand their unique challenges and leverage our platform to deliver exceptional value in AI language model training.
Manage customer engagements as a trusted advisor, developing a deep understanding of clients' AI strategies and overseeing high-quality data projects to ensure they meet SLAs and goals
Lead cross-functional collaboration, interfacing with engineering and operations teams to ensure excellent deliverables and timely execution
Drive client relationship management by maintaining strong connections, ensuring satisfaction, addressing concerns, and acting as the primary point of contact
3+ years of experience in customer success management or project leadership in tech or AI-related fields, with a proven track record of successfully delivering complex solutions
Resourceful problem-solver with a strong grasp of AI and machine learning concepts, particularly in natural language processing, able to translate technical requirements into actionable project plans
Self-motivated professional with excellent communication skills, capable of articulating complex technical solutions and independently optimizing systems to meet client needs
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Forward Deployed Researcher, you’ll embed directly with leading AI labs and frontier model teams to explore how their models behave in the wild — and what it takes to make them work reliably at scale. You’ll lead hands-on research to evaluate capabilities, surface subtle failure modes, and design interventions that shape model behavior and deployment outcomes.
You won’t just run tests — you’ll uncover insights that inform the next generation of model development. This is a role for someone who thrives on close collaboration, lives for iteration, and loves turning real-world complexity into actionable breakthroughs. Your work will shape how some of the most advanced AI systems interface with the world.
Curiosity about Model Behavior – Interest in how models reason, generalize, and fail when applied to complex real-world tasks
Experimental Rigor – Strong instincts for research design and insight generation in ambiguous settings
Customer-Centered Mindset – Excitement to embed deeply with partners, understand their goals, and build towards meaningful impact
Design and run evaluations to probe model generalization and behavior under deployment constraints
Build data pipelines, fine-tuning workflows, or interventions to steer and improve model outputs
Partner with internal stakeholders and external AI labs to operationalize custom frontier model use cases
Explore and address failure modes in long-context reasoning, tool use, or real-time feedback loops
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Research Scientist focused on data, you’ll work at the cutting edge of LLM development by designing the datasets that shape how frontier models behave. You’ll partner directly with AI research teams to experiment with new data collection strategies, evaluate dataset quality, and uncover insights that improve alignment, safety, and model performance.
This is a research-driven, impact-heavy role: you’ll have the opportunity to test ideas quickly in live production environments, shape data-centric methodologies for some of the world’s top AI labs, and help define how high-quality data fuels the next generation of AI systems.
Deep Curiosity About Data – Obsession with understanding how the structure, quality, and selection of data influence LLM performance
Bias Toward Insight and Iteration – You think critically but move fast, designing lightweight experiments to generate actionable results
Desire to Shape AI Development – Drive to build the foundational data layer that defines how the next generation of AI systems behave
Research data collection strategies and designing high-impact data slices that uncover model failure modes
Model annotator behavior and designing experiments to optimize instruction clarity and reward signal reliability
Develop metrics and frameworks for evaluating dataset quality, diversity, and impact on downstream model alignment
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Program Manager at Surge, you'll lead initiatives that directly impact our products and our customers. You'll collaborate closely with engineering and operations teams’ to solve our most complex challenges.
In this role, you will own execution, driving coordination and collaboration across multiple teams. Your primary focus will be on ensuring tight coordination on project deliverables through the life of a program, driving repeatable processes that makes cross-functional work faster, more efficient, and more enjoyable.
Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features.
Gather and leverage data-driven insights to improve customer models and our ability to consistently enhance their performance.
Contribute to cross-functional coordination and planning for complex projects.
Collaborate with colleagues across the company to define, scope, and sequence major programs to scale our business.
Provide clear and transparent updates to stakeholders.
2+ years of experience in program management or related roles within high-performing product companies, with a proven track record of navigating ambiguity and executing complex projects.
Have exceptional interpersonal and communication skills, enabling you to influence without authority and build cross-organizational support.
Have a high threshold for navigating ambiguity and ability to balance strategic priorities with rapid, high-quality execution.
Thrive in fast-paced, scaling environments with the ability to bring order to chaos.
Deep interest in AI systems (direct AI/ML experience valued but not required).
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Technical Program Manager at Surge, you'll lead initiatives that directly impact our products and our customers. You'll collaborate closely with engineering and operations teams’ to solve our most complex challenges.
This role is ideal for someone who thrives in rapidly scaling, high-ambiguity environments. You should be able to seamlessly pivot between daily customer calls, detailed execution in operations and product, and strategic business development conversations.
Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features.
Drive execution of multiple simultaneous, cross-functional projects and/or programs.
Effectively set timelines and manage teams to deadlines.
Interface with a variety of technical and non-technical stakeholders.
Experience in program management or related roles within high-performing product companies, with a proven track record of navigating ambiguity and executing complex projects.
Have strong interpersonal skills that enable you to influence without authority, build cross-organizational support, cooperation and action.
Have a track record for being able to successfully organize, implement and manage complex programs and projects.
Are used to working through trade-offs, balancing competing priorities, and having your mind changed.
Deep interest in AI systems — direct AI/ML experience valued but not required.
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Generative AI Generalist at Surge, you'll play a critical role in optimizing the systems and processes that support our product development and delivery. You'll work closely with cross-functional teams, ensuring smooth coordination between product, engineering, and operations. This is an ideal role for someone who thrives in fast-paced environments and is adept at solving complex operational challenges to drive product success.
Oversee the end-to-end product operations cycle, ensuring timely and efficient delivery of features, improvements, and customer-facing solutions.
Collaborate with product and engineering teams to align operational processes with product goals, ensuring that customer needs are met with scalable solutions.
Establish, track, and optimize key performance metrics that ensure product and operational success, identifying areas for continuous improvement.
Manage internal and external communication around product updates, resolving any operational roadblocks that arise.
Use data-driven insights to refine operational strategies, ensuring seamless execution and support for product teams.
Strong analytical skills with a focus on improving operational efficiencies and product delivery.
Ability to navigate ambiguity, manage multiple initiatives, and drive continuous improvement across product and operational teams.
Excellent communication skills, with the ability to collaborate across departments and translate complex processes into actionable steps.
Interest in AI/ML systems is a plus, but not required.
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like OpenAI, Anthropic, Meta, and Google.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Human Data Architect at Surge, you'll design the systems that govern how human data is collected, structured, and delivered to train frontier AI models. This means thinking carefully about task design, evaluation methodology, and data pipeline architecture — with a constant eye on how design choices upstream affect model behavior downstream.
This role sits at the intersection of ML post-training and human data collection methodology. You'll need to understand what makes a good SFT example, what an RLHF pipeline needs to produce useful training signal, and how to structure evaluation datasets that actually discriminate between model capabilities — and then build the collection and delivery systems to produce that data reliably at scale.
Architect end-to-end data workflows — from task design through quality assurance and delivery — ensuring each stage produces data that is well-structured for its post-training purpose (e.g., SFT, RL, model evaluation).
Design collection structures and task frameworks that translate what clients need from a model into concrete, scalable data generation processes.
Build and monitor data quality frameworks that catch problems before they reach the client.
Partner with engineering and product teams to improve data pipelines, identifying where structural or methodological changes can improve throughput without sacrificing quality.
Translate patterns in data quality and project structure into actionable insights that inform project design, client deliverables, and product development.
Experience designing human data collection at scale — e.g., in computational cognitive science, HCI, crowdsourcing research, or a similar field where you've thought carefully about how to get reliable signal from human participants.
Familiarity with ML post-training paradigms (e.g., SFT, RL) and a working intuition for how data quality decisions map onto model outcomes.
Strong technical skills with the ability to work across data pipelines, not just analyze endpoints.
Systems-level thinking — you understand how task design choices propagate into training data and you design accordingly.
Excellent communication skills — you can explain measurement concepts to engineers and engineering constraints to researchers.
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As an AI Operations Engineer at Surge, you'll lead initiatives that directly impact our products and our customers. You'll be part of our operations team and collaborate closely with engineering solve our most complex challenges.
This role is ideal for someone earlier in their career — or looking to apply a technical background in a new context — who thrives in rapidly scaling, high-ambiguity environments. You'll spend a meaningful portion of your time designing and building — whether that's data processing pipelines, custom internal tooling, or AI-powered systems that improve how we deliver and evaluate work at scale. You'll also own the end-to-end design and execution of data collection projects for frontier AI labs — defining task structures, building quality frameworks, and shipping datasets that directly improve the world's most advanced models.
Design and build scalable systems and tooling — including data processing pipelines, automation workflows, and AI-based quality control tools — working closely with engineering to ship solutions to real operational problems.
Establish and expand scalable processes to enhance customer support and value delivery.
Drive execution of multiple simultaneous cross-functional projects, setting timelines and managing deadlines.
Interface with a variety of technical and non-technical stakeholders.
Background in CS, engineering, or another quantitative field preferred.
Hands-on coding experience (Python or similar) and comfort building tools and systems from scratch — not just scripting, but designing solutions to real operational problems.
Proven track record of navigating ambiguity and executing complex, cross-functional projects in a high-performing environment.
Strong interpersonal skills that enable you to influence without authority and build cross-organizational alignment.
Comfortable working through trade-offs, balancing competing priorities, and having your mind changed.
Deep interest in AI systems — direct AI/ML experience valued but not required.
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As an RL Environments Architect, you’ll design, instrument, and govern the simulated worlds where agents learn — from compact task microcosms to multi-agent, tool-using ecosystems. You’ll define the primitives, reward structures, interfaces, and telemetry that let us stress-test emerging capabilities while keeping training signals faithful, stable, and scalable.
Not only will you build environments, you’ll craft standards for data quality and reproducibility across large-scale agent gyms. This is a role for someone who sweats the details of simulation fidelity, thinks in terms of coverage and failure surfaces, and loves turning messy real-world phenomena into learnable curricula. Your work will form the backbone for safe, rapid progress in agentic systems.
Architect a modular environment framework with clear APIs, curriculum scaffolds, and configurable reward/termination schemas
Establish quality bars: coverage metrics, invariance checks, and trace audits for environment outputs and agent experience buffers
Instrument rich telemetry for episode rollouts; mitigating reward hacking, mode collapse, and exploitable loopholes
Partner with researchers to translate real-world tasks into robust simulations, including synthetic data generators and evaluation suites
Simulation & Systems Depth – Experience building RL environments or simulators (e.g., custom physics, multi-agent, tool APIs) with an eye for determinism, performance, and observability
Data Quality Leadership – Strong instincts for designing reward functions, scenario taxonomies, and QA pipelines that keep signals aligned and drift-free
Builder’s Mindset – Comfort collaborating across research and engineering to ship pragmatic, testable environments that evolve with model capabilities
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Strategic Projects Lead at Surge, you will ensure that our data collection, processing, and management systems operate efficiently and scale with our growing needs. You will work closely with engineering, product, and operations teams to ensure that our data pipelines and processes are optimized for both speed and quality. This is a great opportunity for someone who thrives in dynamic environments and is passionate about making data flow seamlessly through complex systems.
Manage the end-to-end data operations process, ensuring data is collected, processed, and delivered efficiently and accurately.
Collaborate with product and engineering teams to refine data pipelines and improve data flow across systems.
Establish and monitor key data quality metrics, ensuring the consistency and reliability of data used for training AI models.
Identify operational inefficiencies in data workflows and implement solutions to improve speed and quality.
Provide actionable insights from data analysis, supporting teams in decision-making and product development.
Strong technical skills, with experience in managing data pipelines and ensuring data quality (experience with SQL, Python, or similar tools preferred).
Excellent problem-solving skills and a data-driven approach to improving processes and systems.
Strong collaboration skills with the ability to work cross-functionally and communicate complex data issues to non-technical stakeholders.
Interest in AI/ML systems is a plus, but not required.
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As an AI Programs Analyst at Surge, you'll lead initiatives that directly impact our products and our customers. You'll collaborate closely with engineering and operations teams to solve our most complex challenges.
This role is ideal for someone who is early on in their career and thrives in rapidly scaling, high-ambiguity environments. You should be able to seamlessly pivot between daily customer calls, detailed execution in operations and product, and strategic business development conversations.
Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features.
Drive execution of multiple simultaneous, cross-functional projects and/or programs.
Effectively set timelines and manage teams to deadlines.
Interface with a variety of technical and non-technical stakeholders.
Experience in program management or related roles within high-performing product companies, with a proven track record of navigating ambiguity and executing complex projects.
Have strong interpersonal skills that enable you to influence without authority, build cross-organizational support, cooperation and action.
Have a track record for being able to successfully organize, implement and manage complex programs and projects.
Are used to working through trade-offs, balancing competing priorities, and having your mind changed.
Deep interest in AI systems — direct AI/ML experience valued but not required.
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Strategic Product Manager at Surge, you'll lead initiatives that directly impact our products and our customers. You'll collaborate closely with engineering and operations teams’ to solve our most complex challenges. This role is ideal for someone who thrives in rapidly scaling, high-ambiguity environments. You should be able to seamlessly pivot between daily customer calls, detailed execution in operations and product, and strategic business development conversations.
Drive customer-centric product development by deeply understanding pain points and delivering impactful solutions, while overseeing project execution and account management activities.
Establish and expand scalable systems, products, and processes to enhance customer support and value delivery, coordinating with engineering to implement necessary features.
Gather and leverage data-driven insights to improve customer models and our ability to consistently enhance their performance.
Experience in product management or related roles within high-performing product companies, with a proven track record of navigating ambiguity and executing complex projects.
Strong analytical skills and data-driven approach, coupled with experience in market research, competitive analysis, and deriving actionable product insights.
Deep interest in AI systems (direct AI/ML experience valued but not required) and excellent project management skills, including the ability to oversee project teams and collaborate effectively across departments.
A commitment to making the next generation of AI models safer and more useful.
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Data Operations Manager at Surge, you'll play a critical role in optimizing the systems and processes that support our product development and delivery. You'll work closely with cross-functional teams, ensuring smooth coordination between product, engineering, and operations. This is an ideal role for someone who thrives in fast-paced environments and is adept at solving complex operational challenges to drive product success.
Oversee the end-to-end product operations cycle, ensuring timely and efficient delivery of features, improvements, and customer-facing solutions.
Collaborate with product and engineering teams to align operational processes with product goals, ensuring that customer needs are met with scalable solutions.
Establish, track, and optimize key performance metrics that ensure product and operational success, identifying areas for continuous improvement.
Manage internal and external communication around product updates, resolving any operational roadblocks that arise.
Use data-driven insights to refine operational strategies, ensuring seamless execution and support for product teams.
Strong analytical skills with a focus on improving operational efficiencies and product delivery.
Ability to navigate ambiguity, manage multiple initiatives, and drive continuous improvement across product and operational teams.
Excellent communication skills, with the ability to collaborate across departments and translate complex processes into actionable steps.
Interest in AI/ML systems is a plus, but not required.
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Lead Adversarial Engineer, you’ll run end-to-end red-teaming workstreams against frontier models — scoping threat models, designing campaigns, coordinating operators, and synthesizing results into clear risk pictures and decision-ready reports. You’ll orchestrate structured adversarial exercises across modalities and tools, ensuring coverage, reproducibility, and crisp learning loops.
You won’t just find failures — you’ll build the operational engine that repeatedly surfaces them under realistic constraints. This is a role for someone who thrives on program design, loves turning messy attack spaces into disciplined test plans, and can drive cross-functional execution from kickoff to readout.
Stand up a recurring red-team cadence: scoping targets, recruiting operators, defining success criteria, and executing multi-week campaigns
Create scenario banks and attack taxonomies; ensuring breadth/depth coverage and tracking families of exploits across versions and contexts
Produce executive readouts and issue trackers that distill severity, exploitability, and user harm, with crisp reproduction steps and artifacts
Partner with research, product, and ops teams to validate fixes and rerun focused regressions; maintaining dashboards for trendlines and residual risk
Red-Team Program Leadership – Experience planning and running adversarial campaigns (jailbreaks, prompt injection, tool abuse), including playbooks, ops cadence, and after-action reviews
Methodical Experimentation – Strength in designing scenarios, controls, and metrics; comfort triaging findings and prioritizing next passes based on evidence
Stakeholder Command – Ability to brief partners, align on objectives, and translate results into actionable remediation tracks with clear owners and timelines
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
As a Product Operations Manager at Surge, you'll play a critical role in optimizing the systems and processes that support our product development and delivery. You'll work closely with cross-functional teams, ensuring smooth coordination between product, engineering, and operations. This is an ideal role for someone who thrives in fast-paced environments and is adept at solving complex operational challenges to drive product success.
Oversee the end-to-end product operations cycle, ensuring timely and efficient delivery of features, improvements, and customer-facing solutions.
Collaborate with product and engineering teams to align operational processes with product goals, ensuring that customer needs are met with scalable solutions.
Establish, track, and optimize key performance metrics that ensure product and operational success, identifying areas for continuous improvement.
Manage internal and external communication around product updates, resolving any operational roadblocks that arise.
Use data-driven insights to refine operational strategies, ensuring seamless execution and support for product teams.
Strong analytical skills with a focus on improving operational efficiencies and product delivery.
Ability to navigate ambiguity, manage multiple initiatives, and drive continuous improvement across product and operational teams.
Excellent communication skills, with the ability to collaborate across departments and translate complex processes into actionable steps.
Interest in AI/ML systems is a plus, but not required.
About Us
Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation of AI. Our platform powers the most capable models in the world, in partnership with companies like Anthropic, Google, Microsoft, and Meta. We've run a profitable business from day one without raising venture funding.
The Role
We're hiring recruiters. You’ll flex across the company’s hiring needs, moving between searches across engineering, research, product, and partnerships. We’re hiring for extremely high bars across tech and non-tech. You should be able to identify the best people in the market, understand what makes them exceptional and make judgment calls without relying on a checklist. We don't have coordinators or approval layers, so scheduling, follow-ups, offer details, all of that is you.
That's the trade here: a lot of freedom in how you work, and a high bar for the work itself.
What You'll Do
Full-cycle searches, technical and non-technical: sourcing, screens, scheduling, closing.
Own your searches end to end. Run your desk from intake to close with autonomy and urgency.
Source creatively and relentlessly. The best candidates often aren’t applying. You’ll figure out where they are, how to find them, and how to get their attention.
Work directly with hiring managers. Shape the role with them, and tell them when the spec doesn't match the market.
Fix things in our process that slow you down.
What We're Looking For
You've closed strong candidates in competitive markets. Technical recruiting experience is a big plus.
You're fine with little structure or direction.
You write well. Candidates notice.
You can run several searches at once and move with urgency all the time. Great candidates move fast, and so do we.
Our mission is to raise AGI with the richness of human intelligence: curious, witty, imaginative, and full of unexpected brilliance.
Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.
At Surge, we believe the path to AGI isn't just about scaling compute. It's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.
This is a senior, hands-on role for engineers who want to own security end to end.
This isn't an advisory role. You'll be an engineer on the team who owns security across the whole company, from product and infrastructure to corporate and IT, and you'll fix problems directly rather than surfacing them and handing them off. You'll be a pivotal part of an engineering team that takes security seriously and fixes things with you rather than treating it as someone else's job.
We are a small, dynamic team operating at the center of the AI ecosystem. The way security gets done is changing because of AI, and as a company that works with every major AI lab, we're at the frontier of it. You'll work closely with engineers and researchers from the top technology companies in the world.
7+ years of experience building and shipping production software (5+ with exceptional experience)
Strong software engineering skills: you'll go through the same coding and system design bar as our engineers
Competence across all three of product, infrastructure, and corporate security
A generalist who's comfortable owning a little bit of everything rather than a narrow slice
Early-stage startup experience, ideally as one of the first security hires at a company
A builder's instinct for ambiguity: comfortable operating without a fixed roadmap or product managers, and you fix problems yourself instead of throwing them over the fence
Experience with Python or Ruby on Rails a plus
CS degree from a top school or equivalent STEM background
Fix authentication and authorization issues across the platform
Improve how we manage keys and secrets across projects
Harden internal tooling and bring off-band tools built by other teams safely into the platform
Refactor permissioning and pull sensitive capabilities out of our admin systems
Contribute to core backend engineering work alongside the engineering team
Own security reviews, incident response, and tooling, flexing across product, infrastructure, and corporate as the business needs
We're based in San Francisco and New York and would love for you to be too. If you're a great fit elsewhere, we're open to remote, with some travel to spend time in person with the engineers you'll work with.
","descriptionPlain":"SOFTWARE ENGINEER, SECURITY\n\n\n\n\nABOUT US\n\nOur mission is to raise AGI with the richness of human intelligence: curious, witty, imaginative, and full of unexpected brilliance.\n\nSurge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.\n\nAt Surge, we believe the path to AGI isn't just about scaling compute. It's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.\n\n\n\n\nTHE ROLE\n\nThis is a senior, hands-on role for engineers who want to own security end to end.\n\nThis isn't an advisory role. You'll be an engineer on the team who owns security across the whole company, from product and infrastructure to corporate and IT, and you'll fix problems directly rather than surfacing them and handing them off. You'll be a pivotal part of an engineering team that takes security seriously and fixes things with you rather than treating it as someone else's job.\n\nWe are a small, dynamic team operating at the center of the AI ecosystem. The way security gets done is changing because of AI, and as a company that works with every major AI lab, we're at the frontier of it. You'll work closely with engineers and researchers from the top technology companies in the world.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 7+ years of experience building and shipping production software (5+ with exceptional experience)\n\n - Strong software engineering skills: you'll go through the same coding and system design bar as our engineers\n\n - Competence across all three of product, infrastructure, and corporate security\n\n - A generalist who's comfortable owning a little bit of everything rather than a narrow slice\n\n - Early-stage startup experience, ideally as one of the first security hires at a company\n\n - A builder's instinct for ambiguity: comfortable operating without a fixed roadmap or product managers, and you fix problems yourself instead of throwing them over the fence\n\n - Experience with Python or Ruby on Rails a plus\n\n - CS degree from a top school or equivalent STEM background\n \n\n\nWHAT YOU'LL DO\n\n - Fix authentication and authorization issues across the platform\n\n - Improve how we manage keys and secrets across projects\n\n - Harden internal tooling and bring off-band tools built by other teams safely into the platform\n\n - Refactor permissioning and pull sensitive capabilities out of our admin systems\n\n - Contribute to core backend engineering work alongside the engineering team\n\n - Own security reviews, incident response, and tooling, flexing across product, infrastructure, and corporate as the business needs\n \n\n\nLOCATION\n\nWe're based in San Francisco and New York and would love for you to be too. If you're a great fit elsewhere, we're open to remote, with some travel to spend time in person with the engineers you'll work with."}],"apiVersion":"1"}