Encord is the universal data layer for AI, helping 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more, we're an ambitious team of 100+ working at the frontier of AI. We've raised $60M in Series C funding from Wellington Management, CRV, Next47, and Y Combinator.
We're looking for a GTM Recruiter to assist hiring across the commercial organization.
This is a high-ownership role for someone who operates with speed, urgency, and creativity. You'll partner directly with leadership and our Head of Talent to turn business priorities into hiring plans, build pipelines for roles without an established playbook, and drive searches forward without waiting to be told what to do next.
You'll be expected to know where every search stands, identify risk early, push for decisions, and increase hiring velocity without lowering the talent bar.
Own GTM searches end-to-end, from kickoff and market mapping through offer and close
Partner with leaders to turn business priorities into clear profiles and search strategies
Create momentum: identify bottlenecks, surface risk, push for decisions, and keep searches moving
Build exceptional pipelines through targeted outbound, referrals, networks, and creative sourcing
Develop deep fluency in what separates exceptional GTM talent from average
Run high-signal screens and give hiring managers clear, decisive recommendations
Use funnel data to diagnose problems and continuously improve hiring velocity
Deliver a high-quality candidate experience while operating at startup speed
Great taste
Move fast
Business-minded
Relationship all-star
Resourceful
High integrity
Accountable
No drama
Adaptable
2-4+ years of full-cycle recruiting experience
Track record of delivering hiring outcomes in a fast-paced environment
Strong outbound sourcing across LinkedIn Recruiter and Juicebox
Experience managing multiple searches at once
Strong command of recruiting metrics and using funnel data to improve hiring velocity
Base salary, quarterly commission, and equity
Significant ownership and growth as Encord scales
Direct partnership with senior leaders on critical hiring priorities
4 days/week in our San Francisco (FiDi) office
Flexible PTO + 18 paid vacation days and federal holidays
Annual learning & development budget
Comprehensive health, dental, and vision coverage
U.S. and international travel opportunities
Bi-annual offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're looking for former technical founders who want to get back to building. If you've experienced the thrill of 0 to 1 — the chaos, the ownership, the outsized impact — and you're hungry to do it again inside a rocketship, this is the role for you.
At Encord, you won't be a cog in a machine. You'll work directly with the founding team, take on high-stakes problems, and help shape the trajectory of the company. We don't care which box you fit into — we care about what you're capable of building.
What you'll do
Work closely with the cofounders to identify and drive some of the highest-leverage opportunities across product, engineering, GTM, or operations
Take ownership of ambitious, ambiguous problems and drive them from zero to shipped
Bring an entrepreneurial mindset to everything — spotting gaps, moving fast, and making things happen with limited resources
Build internal tools, processes, and systems that help Encord scale
Act as a force multiplier across teams, bringing founder-level energy and judgment to whatever you tackle
Who we're looking for
A former founder — ideally technical — who has built and scaled a product or company, and is eager to get back to the early days of 0 to 1
You may have started and exited your business and are ready to experience the journey again in a new context
You may not have AI or B2B experience, but you will have excelled at something incredibly challenging that demonstrates your grit and ability to overachieve
Deeply comfortable with ambiguity — you don't need a job spec to know what needs doing
A builder at heart who thinks from first principles and moves fast without sacrificing quality
Someone who takes extreme ownership and thrives without a safety net
Experience requirements
Proven experience founding or co-founding a technology company
Strong technical background — you've written production code and understand engineering trade-offs
Track record of building and shipping products that users love
Experience hiring, leading, and inspiring small, high-performing teams
Excellent communication and stakeholder management skills
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth startup
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4–5 days/week in our newly launched North Beach loft office
Flexible PTO to fully recharge
18 paid vacation days in the U.S. plus federal holidays
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're hiring a Deployment Strategist to own the successful deployment and adoption of Encord across a portfolio of customers. This is a high-impact, post-sales role that blends technical execution, customer strategy, and commercial ownership.
You'll work closely with AI, ML, and engineering teams to get customers live quickly, ensure strong product adoption, and drive long-term value. You'll also partner cross-functionally with Sales, Product, Engineering, and Leadership to shape how Encord scales its post-sales motion.
What you’ll do
Own the end-to-end deployment and success of Encord across a portfolio of customers, from initial onboarding through long-term adoption
Lead customers to value quickly by guiding technical teams, running effective enablement, and establishing strong success plans
Build deep, trusted relationships with customer stakeholders at all levels, from hands-on users to executive sponsors
Maintain a holistic understanding of each customer's goals, usage, and risk profile, proactively addressing issues before they escalate
Partner closely with Sales to support renewals, identify expansion opportunities, and drive long-term account growth
Act as a strategic voice of the customer, sharing insights with Product and Engineering to influence roadmap and execution
Help shape and continuously improve Encord's post-sales motion, playbooks, and operating processes as the company scales
Who we’re looking for
Demonstrated success supporting complex, technical products and enterprise-grade customers
Comfortable going deep on product and technical details while communicating clearly with executives
Highly organised and analytical, with strong project management instincts
Naturally consultative: you ask great questions, uncover root problems, and guide customers to outcomes
Comfort with ambiguity — you have stories about walking into a messy customer situation with no defined scope and shaping it into a plan
Commercially minded, with an understanding of how post-sales execution drives retention and growth
Collaborative and influential, with strong cross-functional instincts
Ambitious, driven, and motivated by ownership, impact, and rapid growth
Experience requirements
4–8 years in a customer-facing technical or post-sales role such as Customer Success, Technical Account Management, Solutions Engineering, Implementation, or Management Consulting
Proven ability to manage complex, multi-stakeholder deployments of technical software products, ideally in a B2B SaaS environment
Track record of driving measurable outcomes — time-to-value, product adoption, retention, or expansion — across a portfolio of enterprise accounts
Experience engaging confidently with technical teams (ML engineers, data scientists, software engineers) as well as executive and business stakeholders
Strong project management skills, with the ability to run multiple concurrent deployments, coordinate internal resources, and keep customers on track
Commercially aware, with experience contributing to renewals, identifying expansion signals, and partnering with Sales on account growth
Familiarity with CRM and CS tooling (e.g. HubSpot, Salesforce, Gainsight, or similar)
Experience at a high-growth start-up or scale-up strongly preferred
Bonus: Exposure to AI, ML, data infrastructure, or developer tools
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
Physical AI is our fastest-growing segment. Over the past 12 months, we've grown Physical AI revenue 10x. The companies building the next generation of robotics, autonomous vehicles, and intelligent physical systems have a data problem — and Encord is the only full-stack solution built to solve it.
We're now building the founding sales team that will take this to market.
This is a full-cycle commercial closing role on the ground floor of one of the most consequential verticals in AI. You'll own pipeline generation through close, selling into the world's most advanced Physical AI teams — robotics companies, autonomous vehicle programs, and research-driven enterprises like Boston Dynamics and Dyna. By day 30, you will have identified target accounts and booked meetings; by day 90, you will have closed your first pilot with a robotics or AV firm.
You'll report to the Head of Physical AI and work in close partnership with our founders and GTM leadership. Pipeline generation support is in place. Your job is to run deals with conviction and build the kind of customer relationships that compound over time.
This is not a role for someone who wants a defined playbook handed to them. It's a role for someone who wants to help write it.
What you’ll do
Own the full sales cycle end-to-end, from outbound through close, with pipeline generation support
Sell into Physical AI teams across robotics, autonomous vehicles, and research applications — from high-growth startups to large-scale enterprise programs
Build deep relationships with technical and executive buyers: heads of autonomy, VP AI, ML engineering leaders, and data operations teams
Develop a sharp point of view on the Physical AI landscape — understanding where customer pain is sharpest and how Encord's platform delivers measurable impact
Partner closely with Product, Engineering, and Customer Success to bring customer insight back into the roadmap
Help sharpen the ICP as we expand into new Physical AI use cases and geographies
Forecast accurately, maintain pipeline discipline, and operate with the rigor of someone building something that will outlast them
Who we’re looking for
A consistent top or near-top performer in your current or most recent sales role
Comfortable selling technically complex solutions to skeptical, STEM-trained buyers — you don't need to be an engineer, but you can hold the room with one
Energized by ambiguity and early-stage environments where you have real ownership and real accountability
A natural relationship builder who earns trust through preparation, follow-through, and genuine curiosity about customer problems
Entrepreneurial by disposition — you see gaps as opportunities, not blockers
Resilient, high-output, and genuinely motivated by the quality of your work
Experience requirements
3 to 7 years in a B2B SaaS or enterprise technology sales role, with a track record of hitting or exceeding quota
Experience selling to technical audiences — ML, data, or engineering teams — is a strong advantage
Familiarity with data infrastructure, AI tooling, robotics, or autonomous systems is a plus, not a prerequisite; what matters is how fast you ramp and how deep you go
Exceptional candidates from outside traditional SaaS sales will be considered: if you've performed at the top of a demanding, competitive field and can demonstrate it, we want to hear from you
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
As a Solutions Engineer at Encord, you will be the core technical expert and problem-solver for our most complex customers. You are the engineering-focused counterpart to the commercial team, partnering with Account Executives to architect and implement solutions for prospects on the cutting-edge of AI.
You will be the expert on how our platform integrates and scales, establishing technical credibility and guiding prospects through complex evaluations, especially for applications in robotics, autonomous systems, and multimodal AI. You are both a deep technical builder and an expert business value translator.
What you'll do
Partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles and co-own the technical win
Lead deep technical discovery sessions with a wide range of stakeholders (from ML Engineers to MLOps leaders) to not only uncover business pain but to architect a complete technical solution and integration path
Architect, build, and deliver highly-technical, customised product demonstrations and proof-of-concepts (POCs) that solve specific, complex customer problems
Own the end-to-end technical implementation of POCs, writing robust, production-quality Python scripts for complex data ingestion, pre/post-processing, dataset management, and custom platform integrations
Act as the key technical advisor to prospects, expertly guiding them through security, architecture, and integration evaluations, particularly on complex data pipelines involving multimodal data, LiDAR, or robotics sensor data
Translate complex technical architectures and findings into clear, persuasive value propositions for senior, non-technical stakeholders (Directors, VPs, CTOs)
Serve as the \"voice of the customer\" to our Product and Engineering teams, channelling detailed, technical feedback from complex enterprise clients to help shape the product roadmap
Who we're looking for
Coding experience — hands-on experience building and debugging scripts and solutions using Python or other scripting languages; experience with SDKs is desirable
Excellent communication and presentation skills — you can confidently command a room of engineers and just as easily simplify complex concepts for senior decision-makers
Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts
A \"hacker mindset\" with a strong engineering foundation: you are a creative problem-solver who builds robust, scalable, and efficient scripts and integration workflows to overcome technical hurdles
A solution-driven and customer-obsessed mindset — while you understand commercial goals, your passion is for solving complex technical problems and ensuring customer success
Ability to translate value between technical and commercial stakeholders, both with prospects and internally within Encord
Bonus: hands-on experience working with multimodal AI, sensor-fusion, physical AI, LiDAR data, or in the robotics industry
Experience requirements
1 - 5+ years of experience in a customer-facing role within an AI business, such as Solutions Engineering, Solutions Architecture, or Technical Account Management
Proficiency in Python, with the ability to write clean, production-quality scripts for data ingestion, pipeline automation, API integrations, and custom tooling; experience with REST APIs and SDKs is strongly preferred
Hands-on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows
Solid understanding of machine learning concepts and the ML development lifecycle — from data preparation and annotation through model training, evaluation, and deployment
Demonstrated ability to lead technical discovery, architect integration solutions, and own end-to-end POC delivery in a complex enterprise sales environment
Proven track record of earning trust with highly technical audiences (ML engineers, MLOps, data engineers) while communicating value clearly to senior business stakeholders
Experience navigating enterprise security, compliance, and architecture reviews as part of a technical sales or implementation process
Prior experience in a high-growth start-up or scale-up strongly preferred
Bonus: Familiarity with multimodal data formats, LiDAR, robotics sensor data, or physical AI applications
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
As Encord's first Account Manager in New York City, you won't just own a book of business — you'll help define what post-sales excellence looks like on the East Coast.
You'll own and grow a portfolio of strategic customers, with a focus on expanding usage, driving adoption, and ensuring customers get maximum value from our platform — from autonomous vehicle companies to medical imaging teams and next-gen robotics manufacturers.
You'll work directly with technical and commercial stakeholders, understanding their ML workflows and identifying opportunities for growth. As one of the founding members of the NYC team, you'll have a real hand in shaping how we build the customer relationship function in this market.
This is a great fit for someone who loves building long-term relationships, enjoys technical conversations, and wants to help shape the future of AI infrastructure — from the ground up.
What you'll do
Own and grow a portfolio of North American customer accounts with a focus on expansion and long-term value
Build trusted relationships with ML, data, engineering, operations, and executive stakeholders
Understand customers' technical roadmaps to proactively identify expansion opportunities
Drive upsells, cross-sells, and multi-team rollouts across existing accounts
Partner with Customer Success, Product, and Engineering to deliver customer outcomes
Communicate customer insights and feature requests internally — your proximity to customers makes you a critical voice in the product roadmap
Lead account planning, run QBRs, and develop growth strategies for your accounts
Maintain accurate pipeline and revenue forecasting in HubSpot
Help build the post-sales and expansion playbook for North America in a fast-growing GTM organisation
Who we're looking for
Excited by the founding opportunity — you want to help shape the NYC office, not inherit a finished motion
Ability to engage confidently with technical stakeholders (ML engineers, data leads, CTOs)
Strong relationship builder with a genuine interest in solving customer problems
Comfortable in a fast-moving, high-growth start-up environment
Experience with HubSpot, Salesforce, or similar CRM tools
Curious, driven, and excited by the potential of AI and data infrastructure
Experience requirements
2–5 years of experience in account management, customer success, or a post-sales commercial role within B2B SaaS or technology
Proven track record of owning and growing a book of business, with demonstrable success hitting or exceeding net revenue retention or expansion targets
Experience managing mid-to-large ACV accounts ($50K–$250K+) across multi-stakeholder organisations
Confidence engaging with technical buyers — including ML engineers, data scientists, and engineering leads — and translating their needs into commercial outcomes
Familiarity with structured account planning, QBR delivery, and pipeline forecasting using CRM tools such as HubSpot or Salesforce
Experience working in a high-growth start-up or scale-up environment preferred
Exposure to developer tools, data infrastructure, or ML/AI platforms is a strong advantage
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We are looking for a rockstar Product Marketing Manager to join our Marketing team. You will lead the marketing of the Encord Platform — owning how we message Encord across targeted use cases, verticals, and personas. This is a critical role for the business, and you will become the subject matter expert for the end-to-end platform.
What you'll do
Own the messaging of Encord, as well as the messaging for platform-wide capabilities
Amplify platform-level messaging through the Encord website and channels
Build and deliver sales enablement with high CSAT scores with field teams
Be the expert in any platform-specific messaging for campaigns and events, and enable GTM teams with highly performant content to drive strong engagement and pipeline
Deliver a drumbeat of compelling customer stories, highlighting Encord Platform capabilities, technical details, and realized value
Hone messaging by developing value proposition and messaging frameworks, driving articulation of product portfolio positioning aligned to Encord's targeted audiences and ICP
Help build a product our customers love
Collaborate closely with product & engineering to identify needs and sharpen product offerings based on the competitive landscape and customer feedback
Who we're looking for
A proven track record in product marketing with experience on technical products
Strong understanding of Data & AI platform offerings, with experience creating messaging and positioning for technical products targeted at the enterprise market
Ability to build strong working relationships with stakeholders to deliver joint messaging and GTM plans
Experience creating compelling product and thought leadership content to support customers and Growth/Demand marketing campaigns
Comfortable owning and running direct customer engagements
Strong public speaker with the technical aptitude to become an end-to-end expert on the Encord platform, including the ability to demo at events and to prospects
Experience requirements
3-5+ years of product marketing experience at an enterprise software company, preferably including PMM experience at early-stage AI startups
Excellent writing skills for succinct messaging targeting AI/ML engineers and AI executives
Deep understanding of the Data and AI space
Experience building compelling technical and business content
Proven ability to collaborate with sales, growth marketing, and product teams
Preferred: technical academic background (BS in Computer Science or related discipline)
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
As a Commercial Associate at Encord, you'll be an early commercial hire with real ownership across the top and middle of the funnel. You'll help shape how we identify, engage, and convert the right customers as we scale — while building the foundations of a long-term commercial career.
You'll sit at the intersection of outbound strategy, customer discovery, and deal execution. From day one, you'll be expected to think like a seller: prioritising the right accounts, crafting thoughtful outreach, and partnering closely with Account Executives to move real opportunities forward.
This role is designed to identify future sellers early. We optimise for trajectory over polish. High performers typically progress into closing, leadership, or specialist roles (Sales, Solutions, Growth) within 12–18 months, often sooner.
What you'll do
Identify, research, and prioritise high-potential accounts across Encord's core verticals and regions
Develop strong points of view on who to target and why
Execute thoughtful, multi-channel outbound (email, LinkedIn, calls, creative plays)
Craft messaging that resonates with technical and commercial buyers
Partner with Growth and Sales to test campaigns, refine targeting, and improve conversion
Own outcomes, not just activity — quality opportunities matter more than volume
Work directly with Account Executives to progress live opportunities
Support discovery, demos, trials, and follow-ups
Help shape business cases and stakeholder mapping
Ensure a high-quality, consistent prospect experience
Learn how complex, technical B2B deals actually get done
Who we're looking for
You've consistently performed in the top percentile of what you've done — academically, professionally, or competitively
You're motivated by ownership, learning, and long-term growth, not just title or short-term compensation
You enjoy figuring out why something works, not just following a script
You're comfortable operating with ambiguity and high expectations
You can engage with technical concepts without losing sight of business outcomes
You want to be part of building something — not just maintaining it
Experience requirements
1–3 years of professional experience in a commercial, customer-facing, or high-performance role
Exposure to outbound prospecting, pipeline generation, or client engagement is strongly preferred
Strong written and verbal communication skills
Evidence of discipline, resilience, and continuous improvement
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Daily lunches & dinners
Bi-annual company offsites and monthly socials
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're looking for a founding Sales Director to lead revenue growth across our markets. This is a rare opportunity to join a hyper-growth AI infrastructure company in a true leadership seat — reporting directly to the VP of Global Sales and working alongside the co-founders. You'll come in as a leader, inherit and grow a team, and shape how we go to market as we scale.
What you'll do
Lead and grow a high-performing sales team — hiring, coaching, and developing Encord sellers while staying close to the market yourself
Own revenue growth across your market — taking the product to leading AI and tech businesses and scaling to $millions in ARR
Navigate complex, full-cycle enterprise and mid-market sales with customers ranging from fast-growing startups to Fortune 500s
Partner with the VP of Global Sales on GTM strategy, ICP expansion, and new verticals — with a clear path to owning an expanded geography, sector, or team as we scale
Roll up your sleeves and run sales cycles yourself during the ramp period — learning the product, the buyers, and the motion firsthand so you can coach your team from experience, not theory
Become the authoritative voice on how Encord is positioned and pitched — setting the standard for the team around you
Represent Encord externally — at industry events, in senior customer relationships, and across the broader AI and Physical AI ecosystem
Collaborate cross-functionally with Product, Engineering, and Customer Success to shape the roadmap and inform go-to-market decisions
Step up wherever needed: marketing, events, community, onboarding — this is a founding leadership role
Who we're looking for
A proven sales leader with a track record of building and scaling high-performing teams — and the commercial credibility to lead from the front
Someone who thrives in ambiguity — you don't wait for a playbook, you write it
Deep experience selling technical products to technical buyers — ML engineers, data scientists, CTOs, and AI platform leads
A builder mentality — you want to leave something behind, not just hit a number
High commercial IQ — able to navigate complex, multi-stakeholder deals while keeping momentum and coaching others to do the same
Genuine excitement about Physical AI and where the market is going
Experience requirements
7–12 years in GTM roles at B2B SaaS companies, with a proven track record of leading and scaling high-performing sales teams
Demonstrated ability to hire, develop, and retain top sales talent — you've built teams, not just joined them
Strong commercial intuition with the ability to build rapport and influence at all levels — from junior operators to CTOs
The gravitas to engage and win over senior leadership, and the ability to instil that same credibility in the people around you
Track record of top-percentile performance in sales leadership, academia, sport, or any competitive environment you've entered
A clear point of view on what great GTM looks like — and the conviction to build it from scratch in a fast-moving environment
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
Encord is scaling rapidly, with strong product-market fit and a clear mandate to plant our flag in New York City. This is our first dedicated hire in the market — and the person who takes this role will be the founding presence that shapes how we show up on the East Coast.
You’ll be handed a genuinely compelling product with proven traction, a strong brand in AI circles, and the backing of a world-class team — then trusted to build from there. That means opening doors, winning deals, and laying the foundation for a team and office that grows around you.
Reporting directly to the Head of Sales and working closely with our founders, you'll take a category-defining AI infrastructure platform to market — selling into the most advanced AI teams in the world as we expand from core computer vision into Physical AI, one of the next major frontiers in AI.
This is a rare opportunity: traction is proven, the product is real, but the New York chapter hasn't been written yet. You'd be the one to write it.
What you’ll do
Own the full sales cycle end-to-end, from pipeline generation through close
Be Encord's first on-the-ground presence in New York — build our brand, network, and pipeline in the market from day one
Sell into sophisticated mid-market and enterprise teams building frontier AI products
Drive high-impact deals and help scale Encord through its next phase of growth
Work with customers solving real, complex problems across multimodal data, robotics, and physical systems
Partner closely with Product, Engineering, and Customer Success to feed customer insight directly into the roadmap
Shape the playbook — help define how we sell, who we target, and how we win in this market
Lay the foundation for a NYC team
Who we're looking for
Excited by the idea of building something — not just hitting a number, but opening a market
Highly ambitious, competitive, and motivated by outsized ownership and impact
Entrepreneurial mindset — you move fast, figure things out, and don't wait to be told what to do
Strong commercial intuition and the ability to earn trust with senior technical and business stakeholders
Comfortable selling complex, technical products (or excited to ramp quickly in a deep technical domain)
Hungry to grow into a leadership role as the NYC team scales around you
A history of strong performance in high-expectation environments — start-up experience a strong plus
Experience requirements
4+ years of closing experience in B2B SaaS or technology sales, with a track record of meeting or exceeding quota
Experience managing complex, multi-stakeholder sales cycles with deal values of $50K+
Demonstrated ability to sell to technical buyers — including engineers, ML practitioners, or data scientists — and navigate to economic decision-makers
Proven ability to self-source pipeline and drive deals from first contact through close
Experience at a high-growth start-up or fast-paced sales environment preferred
Familiarity with CRM tools (e.g. Salesforce, HubSpot) and structured sales methodologies (e.g. MEDDIC, SPICED, Challenger)
Bachelor's degree or equivalent practical experience
Bonus: Experience selling developer tools, infrastructure, or technical platforms. Exposure to mid-market or enterprise sales cycles. Start-up experience in fast-growth, execution-heavy environments. Curiosity about AI, robotics, or the future of Physical AI
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
As a Strategic Projects Lead, you'll fully own and optimize the data annotation and machine learning workflows behind Encord's largest client relationships. You'll work directly with clients, annotation specialists, ML engineers, Account Managers, and Forward Deployed Engineers to ensure the data powering their models is fast, accurate, and scalable.
This is a hands-on, high visibility role. You have direct influence on whether Encord's highest-value customers renew and expand.
What you'll do
Own data annotation projects end-to-end, translating complex AI/ML requirements into clear workflows and instructions for annotation teams
Design and refine annotation processes, audit results, and build feedback loops that raise data quality
Act as a trusted advisor to clients — designing and implementing the human-annotation workflow that gets them to production fastest
Partner with product and engineering to drive improvements in AI training data tools and methodology
Directly influence account health: your workflow design and execution are a primary driver of whether strategic accounts renew, expand, or churn
Who we're looking for
A sharp, execution-oriented operator with a consulting or AI-company pedigree . A structured thinker, strong PM instincts, bias for getting things done
Analytically rigorous and comfortable with ambiguity. You break down operational problems from first principles
Technically fluent: comfortable querying a database, auditing annotation outputs, or automating a workflow in Python
A natural translator between ML engineers and non-technical clients on multi-stakeholder projects
Entrepreneurial — you take ownership without waiting to be told what to do
Experience requirements
3–7 years of professional experience, with a strong preference for backgrounds in top-tier strategy consulting and/or operations or data roles at leading AI or technology companies
Proven ownership of complex, multi-stakeholder workflows end-to-end: scoping, execution, QA, iteration
Experience designing/optimizing data operations with an eye for quality, consistency, and scalability, ideally human-in-the-loop or structured labeling work
Demonstrated ability to engage effectively with both technical stakeholders (ML engineers, data scientists) and non-technical clients, translating requirements clearly in both directions
Bonus: hands-on experience with computer vision, generative AI, or multimodal data workflows; prior exposure to data annotation platforms or quality management frameworks; experience coaching or managing operational teams
Bonus: Working proficiency in Python or SQL, with the ability to query data, automate workflows, or audit annotation outputs; broader familiarity with relational databases or data annotation tooling equally valued
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product, and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects — operating with a high degree of autonomy, building and extending multiple foundational systems, and crafting performant, reliable, and maintainable solutions to challenging technical and product problems.
What you'll do
Build and extend foundational systems across the full stack, from backend services to frontend interfaces
Take end-to-end ownership of projects, from product and architectural decisions through to deployment, monitoring, and measuring user impact
Work autonomously to drive projects forward while collaborating closely with a lean, high-trust team on challenging problems
Tackle complex domains at massive scale using simple, well-crafted solutions
Take initiative, be proactive in problem-solving, and continuously seek improvements across the codebase and product
Who we're looking for
You've seen and built a lot. You have personally developed and maintained multiple systems from scratch, and you know what trade-offs are involved in building reliable, performant software at speed
You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day
You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary.
You enjoy problem-solving and thinking from first principles, and are always ready to pick up new skills and build quickly
You're happy to tackle problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go
You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you
Experience requirements
Strong full-stack engineering experience, with production-grade work across both backend and frontend
Deep fluency in at least one high-level language (we use Python and TypeScript, but we care more about depth than the specific language); experience with React is a plus
Familiarity with cloud infrastructure (GCP preferred) and containerised deployment (Kubernetes)
Experience building at scale in a fast-paced startup or high-growth environment
Bonus: exposure to machine learning workflows or ML infrastructure
Tech stack
We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply.
Backend: Python
Frontend: TypeScript and React
Deployment: Kubernetes
Infrastructure: GCP
Machine learning: PyTorch, CUDA, Ray
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Daily company lunches
Monthly socials & bi-annual team offsites
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're looking for great engineers with experience building complex UIs to help build out our editor interface — the part of our product that lets users visualise and annotate their data. We handle a wide range of data modalities, including image, video, audio, text, PDFs, medical images, and data from LiDAR and other sensors in robots and autonomous vehicles.
For this role, we are particularly looking for engineers who are excited about technically challenging frontend work, such as rendering complex 3D/4D scenes with thousands of objects, combining data from several modalities, all while maintaining high performance in the browser.
You'll join us at a crucial stage of accelerated development, as part of a small, highly collaborative group where you'll be a key driver of progress on a core part of our product — operating with a high degree of autonomy and crafting performant, reliable, and maintainable solutions at speed.
What you'll do
Build and own complex UI and editor interfaces for visualising and annotating multi-modal data
Render high-performance 3D/4D scenes with thousands of objects in the browser
Work across the full stack when needed, from backend services to deployment and styling
Take end-to-end ownership of projects, from product and architectural decisions through to deployment, monitoring, and measuring user impact
Collaborate closely with a lean, high-trust team to tackle challenging problems together
Take initiative, be proactive in problem-solving, and continuously seek improvements
Who we're looking for
You've seen and built a lot. You have personally developed and maintained multiple systems from scratch, and you know what trade-offs are involved in building reliable, performant software at speed
You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day
You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary.
You enjoy problem-solving and thinking from first principles, and are always ready to pick up new skills and build quickly
You're happy to tackle problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go
You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you
Experience requirements
Strong frontend engineering experience, with production-grade work on complex, high-performance UIs
Proficiency in TypeScript and React
Experience with 3D rendering, WebGL, Canvas, or similar browser-based visualisation technologies is a strong plus
Familiarity with Python and backend development
Experience with Kubernetes and GCP is a plus
Tech stack
We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply.
Backend: Python and Rust
Frontend: TypeScript and React
Deployment: Kubernetes
Infrastructure: GCP
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Daily company lunches
Monthly socials & bi-annual team offsites
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
As a Product Engineer at Encord, you'll be embedded at the core of our product — owning features end-to-end, from the API design and backend systems all the way through to the UI that annotation teams, ML engineers, and compliance officers use every day. You won't be handed specs; you'll help write them.
We care deeply about product craft, technical excellence, and shipping things that genuinely matter to our clients. If you have strong opinions about what good software looks and feels like — and the drive to make it happen — you'll fit right in.
What you'll do
Build scalable back-end systems and intuitive front-end interfaces — owning features from database schema to rendered UI
Work with ML workflows — developing tooling for model evaluation, active learning, and automated quality pipelines
Iterate rapidly on product and ship high-quality features at pace, maintaining strong CI/CD and testing practices throughout
Work closely with customers, product, and design to understand problems deeply and deliver solutions that create real impact
Contribute to shaping how the team works — our architecture decisions, engineering culture, and product direction are all open for input
Who we're looking for
You've seen and built a lot. You have personally developed and maintained multiple systems from scratch, and you know what trade-offs are involved in building reliable, performant software at speed
You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day
You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary.
You enjoy problem-solving and thinking from first principles, and are always ready to pick up new skills and build quickly
You're happy to tackle problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go
You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you
Experience requirements
Strong full-stack engineering experience, with a strong track record of shipping products you're proud of
Deep fluency in at least one high-level language (we use Python and TypeScript, but we care more about depth than the specific language)
Strong front-end skills — comfortable with building polished, responsive interfaces, ideally with React
Familiarity with cloud infrastructure (GCP preferred) and containerised deployment (Kubernetes) is a plus
Experience building at scale in a fast-paced startup or high-growth environment
Exposure to machine learning workflows or ML infrastructure is a plus
Tech stack
We are technology-agnostic at Encord and are not looking for experience across all of these — as long as you're open to learning, please apply.
Backend: Python
Frontend: TypeScript and React
Deployment: Kubernetes
Infrastructure: GCP
Machine learning: PyTorch, CUDA, Ray
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Daily company lunches
Monthly socials & bi-annual team offsites
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product, and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects — operating with a high degree of autonomy, building and extending multiple foundational systems, and crafting performant, reliable, and maintainable solutions to challenging technical and product problems.
What you'll do
Build and extend foundational systems across the full stack — from backend services to frontend interfaces
Take end-to-end ownership of projects, from product and architectural decisions through to deployment, monitoring, and measuring user impact
Work autonomously to drive projects forward while collaborating closely with a lean, high-trust team on challenging problems
Tackle complex domains at massive scale using simple, well-crafted solutions
Take initiative, be proactive in problem-solving, and continuously seek improvements across the codebase and product
Who we're looking for
You've seen and built a lot. You have personally developed and maintained multiple systems from scratch, and you know what trade-offs are involved in building reliable, performant software at speed
You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day
You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary.
You enjoy problem-solving and thinking from first principles, and are always ready to pick up new skills and build quickly
You're happy to tackle problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go
You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you
Experience requirements
Strong full-stack engineering experience, with production-grade work across both backend and frontend
Deep fluency in at least one high-level language (we use Python and TypeScript, but we care more about depth than the specific language)
Familiarity with cloud infrastructure (GCP preferred) and containerised deployment (Kubernetes)
Experience building at scale in a fast-paced startup or high-growth environment
Exposure to machine learning workflows or ML infrastructure is a plus
Tech stack
We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply.
Backend: Python
Frontend: TypeScript and React
Deployment: Kubernetes
Infrastructure: GCP
Machine learning: PyTorch, CUDA, Ray
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Daily company lunches
Monthly socials & bi-annual team offsites
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
Physical AI is our fastest-growing segment. Over the past 12 months, we've grown Physical AI revenue 10x. The companies building the next generation of robotics, autonomous vehicles, and intelligent physical systems have a data problem — and Encord is the only full-stack solution built to solve it.
We're now building the founding sales team that will take this to market.
This is a full-cycle commercial closing role on the ground floor of one of the most consequential verticals in AI. You'll own pipeline generation through close, selling into the world's most advanced Physical AI teams — robotics companies, autonomous vehicle programs, and research-driven enterprises like Boston Dynamics and Dyna. By day 30, you will have identified target accounts and booked meetings; by day 90, you will have closed your first pilot with a robotics or AV firm.
You'll report to the Head of Physical AI and work in close partnership with our founders and GTM leadership. Pipeline generation support is in place. Your job is to run deals with conviction and build the kind of customer relationships that compound over time.
This is not a role for someone who wants a defined playbook handed to them. It's a role for someone who wants to help write it.
What you’ll do
Own the full sales cycle end-to-end, from outbound through close, with pipeline generation support
Sell into Physical AI teams across robotics, autonomous vehicles, and research applications — from high-growth startups to large-scale enterprise programs
Build deep relationships with technical and executive buyers: heads of autonomy, VP AI, ML engineering leaders, and data operations teams
Develop a sharp point of view on the Physical AI landscape — understanding where customer pain is sharpest and how Encord's platform delivers measurable impact
Partner closely with Product, Engineering, and Customer Success to bring customer insight back into the roadmap
Help sharpen the ICP as we expand into new Physical AI use cases and geographies
Forecast accurately, maintain pipeline discipline, and operate with the rigor of someone building something that will outlast them
Who we’re looking for
A consistent top or near-top performer in your current or most recent sales role
Comfortable selling technically complex solutions to skeptical, STEM-trained buyers — you don't need to be an engineer, but you can hold the room with one
Energized by ambiguity and early-stage environments where you have real ownership and real accountability
A natural relationship builder who earns trust through preparation, follow-through, and genuine curiosity about customer problems
Entrepreneurial by disposition — you see gaps as opportunities, not blockers
Resilient, high-output, and genuinely motivated by the quality of your work
Experience requirements
3 to 7 years in a B2B SaaS or enterprise technology sales role, with a track record of hitting or exceeding quota
Experience selling to technical audiences — ML, data, or engineering teams — is a strong advantage
Familiarity with data infrastructure, AI tooling, robotics, or autonomous systems is a plus, not a prerequisite; what matters is how fast you ramp and how deep you go
Exceptional candidates from outside traditional SaaS sales will be considered: if you've performed at the top of a demanding, competitive field and can demonstrate it, we want to hear from you
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The Role
Encord is a fast-growing company building the data infrastructure layer for AI teams. We work with leading enterprises across autonomous vehicles, healthcare, robotics, and generative AI. Our product team is small, high-calibre, and operating in genuinely green-field territory. The data layer for AI is still being defined, and you will help define it.
As a Senior PM, you will own a meaningful product area, either the core platform experience or the data curation and exploration layer, and drive it from strategy through to customer outcomes. You will work closely with Engineering, ML, Design, and Customer Success, and play an active role in Encord's enterprise go-to-market motion.
This is a high-autonomy role for someone who is comfortable making independent decisions and driving them through. You don't need a playbook. You write one.
The Opportunity: Just as LLMs were unlocked by massive text datasets, the next wave of breakthroughs in self-driving vehicles, robotics, drones and generative AI requires building entirely new datasets and human feedback pipelines that don't yet exist. Encord is the platform the world's most ambitious AI teams use to build them, and you'll be helping define what that platform looks like.
Hard and Complex Problems: There is no playbook for what the data layer for AI looks like. You'll be solving genuinely novel problems in your product area: whether that's core platform (tooling that scales from a 10-person startup to a 500-person AV team) or data curation (helping customers turn overwhelming floods of raw data into high-signal training datasets).
Ownership and Growth: Product is represented at the highest levels at Encord. You'll have real ownership over your area: setting strategy, making calls, and driving them through. On a small, high-calibre team your impact is visible and your trajectory is accelerated.
The Role
Own and manage the product roadmap for your area, ensuring alignment with company goals, KPIs, and enterprise customer needs.
Lead customer discovery, interviews, problem validation, webinars, and demos, translating complex pain points into clear, winning product bets.
Partner with Sales and Customer Success to drive upsell, cross-sell, and expansion within our largest enterprise accounts.
Collaborate with Engineering and Design to ship high-quality features at pace, writing tight specs, making clear tradeoffs, and holding a high bar for what ships.
Contribute to building a high-performing, collaborative product management culture.
Experience requirements
2 to 5 years in product management. You have seen an organisation scale rapidly and know what a good product looks like at each stage.
Proven experience on B2B SaaS products or technical products sold to enterprise customers. You understand the enterprise sales motion, expansion, and how product decisions connect to revenue.
You speak in metrics and impact, not features shipped. You have worked closely with GTM teams and can tie product decisions to business outcomes.
A self-starter who makes independent decisions and drives them through. You want ownership, not just input. You are energised by ambiguity, not paralysed by it.
You love speaking to customers. You are curious about hard problems at the frontier of AI, and you anticipate needs before customers can fully articulate them.
Excellent communication skills for leading internal sessions and external engagements, customer interviews, demos, and stakeholder presentations.
Encord encourages people from all backgrounds, cultures, and skill levels to apply. You don't need to meet every requirement. We are looking for people who are passionate, customer-focused, and eager to learn.
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Company lunches twice a week
Monthly socials & bi-annual team offsites
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
As a General Manager, you’ll join as a first leadership hire in the region to scale our India delivery hub: building a high-calibre team, setting the cultural standard, and creating an industry-leading project delivery capability.
You'll work closely with our business leadership, GTM, Product and Tech teams globally, with the long-term goal of scaling the India org to several hundred people. This role is ideal for someone who thrives on variety and ambiguity, understands what it takes to build a world-class operation in a new hub and cares deeply about the talent bar and the company’s image.
What you'll do
Build the organisation. You'll shape how the team is structured, and set the standard for everything that follows — with the goal of growing to several hundred people over time.
Turn strategy into execution. Work shoulder-to-shoulder with leadership to break down company priorities into concrete plans, clear ownership, and the operational discipline needed to actually deliver them across the India function.
Create the operating backbone. Establish the rhythms and routines — planning cycles, performance cadences, leadership check-ins — that keep a fast-scaling team focused, aligned, and moving without losing momentum.
Fix what's slowing us down. Proactively identify where the organisation is getting stuck — whether that's process gaps, capacity constraints, or structural friction — and build solutions that scale as we grow.
Maintain an exceptionally high bar for talent. Every hire matters. You'll set the hiring standard, make the tough calls, and ensure the people joining the India team are genuinely exceptional.
Make Encord a destination in India. Build a brand that the best people in the market actually want to join. The product you're selling is the opportunity itself; make it real.
Build a culture worth staying for. Create an environment where people do the best work of their careers — one that reflects Encord's values and holds up as the team scales, not just when it's small.
Who we're looking for
You operate like an owner. You don't wait for direction — you identify what needs to happen, build the plan, and execute it. Ambiguity doesn't slow you down; it's where you do your best work.
You move people without authority. You get things done across teams and geographies through trust, clear framing, and good judgement — not by leaning on your title or escalating up the chain.
You hold the line on quality. Whether it's a hire, a process, or a client deliverable, you have high standards and the conviction to enforce them even when it's inconvenient.
You build for the long term. You're not here to hit a short-term target and move on — you want to build something that lasts, and you understand that culture and talent bar are the foundations everything else rests on.
Experience requirements
10–15 years of general management or site leadership experience, ideally with a strong consulting foundation — ex-MBB at Project Leader, Engagement Manager, or Principal level is the benchmark
Proven experience building teams in a high-growth or operationally complex environment
Deep understanding of the local talent market and the ability to build a brand that competes
A global mindset — you understand the business standards and can bring that rigour and culture to your team
Exceptional people instincts: you know how to recruit for excellence and how to protect culture as a team scales
Comfortable with ambiguity — we don't have all the answers yet, and you'll help shape them
Why Encord
Competitive salary and meaningful equity in a high-growth, Series C start-up
Clear, accelerated growth opportunities as the company scales rapidly — this role grows with the business
Flexible PTO and generous paid vacation days
Annual learning & development budget to invest in your growth
Comprehensive health coverage
Regular travel opportunities to our London HQ and global team events
Bi-annual company offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
Physical AI is our fastest-growing segment. Over the past 12 months, we've grown Physical AI revenue 10x. The companies building the next generation of robotics, autonomous vehicles, and intelligent physical systems have a data problem — and Encord is the only full-stack solution built to solve it.
We're now building the founding sales team that will take this to market.
This is a full-cycle commercial closing role on the ground floor of one of the most consequential verticals in AI. You'll own pipeline generation through close, selling into the world's most advanced Physical AI teams — robotics companies, autonomous vehicle programs, and research-driven enterprises like Boston Dynamics and Dyna. By day 30, you will have identified target accounts and booked meetings; by day 90, you will have closed your first pilot with a robotics or AV firm.
You'll report to the Head of Physical AI and work in close partnership with our founders and GTM leadership. Pipeline generation support is in place. Your job is to run deals with conviction and build the kind of customer relationships that compound over time.
This is not a role for someone who wants a defined playbook handed to them. It's a role for someone who wants to help write it.
What you’ll do
Own the full sales cycle end-to-end, from outbound through close, with pipeline generation support
Sell into Physical AI teams across robotics, autonomous vehicles, and research applications — from high-growth startups to large-scale enterprise programs
Build deep relationships with technical and executive buyers: heads of autonomy, VP AI, ML engineering leaders, and data operations teams
Develop a sharp point of view on the Physical AI landscape — understanding where customer pain is sharpest and how Encord's platform delivers measurable impact
Partner closely with Product, Engineering, and Customer Success to bring customer insight back into the roadmap
Help sharpen the ICP as we expand into new Physical AI use cases and geographies
Forecast accurately, maintain pipeline discipline, and operate with the rigor of someone building something that will outlast them
Who we’re looking for
A consistent top or near-top performer in your current or most recent sales role
Comfortable selling technically complex solutions to skeptical, STEM-trained buyers — you don't need to be an engineer, but you can hold the room with one
Energized by ambiguity and early-stage environments where you have real ownership and real accountability
A natural relationship builder who earns trust through preparation, follow-through, and genuine curiosity about customer problems
Entrepreneurial by disposition — you see gaps as opportunities, not blockers
Resilient, high-output, and genuinely motivated by the quality of your work
Experience requirements
3 to 7 years in a B2B SaaS or enterprise technology sales role, with a track record of hitting or exceeding quota
Experience selling to technical audiences — ML, data, or engineering teams — is a strong advantage
Familiarity with data infrastructure, AI tooling, robotics, or autonomous systems is a plus, not a prerequisite; what matters is how fast you ramp and how deep you go
Exceptional candidates from outside traditional SaaS sales will be considered: if you've performed at the top of a demanding, competitive field and can demonstrate it, we want to hear from you
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're looking for a Senior DevOps Engineer with 5+ years of experience to join our growing platform engineering team in New York. You'll be embedded in the teams building and operating Encord's core infrastructure, ensuring our platform is performant, reliable, observable, and scalable. You'll drive a culture of automation, performance, and resilience through individual contributions and collaboration with multiple squads.
What You'll Do
CI/CD & Deployment Own and continuously improve deployment pipelines; partner closely with developers to review infrastructure changes, streamline release processes, and champion DevOps best practices across the engineering group.
Infrastructure & Cloud Design, deploy, and maintain cloud infrastructure on GCP and AWS; manage Kubernetes clusters, networking, and storage at petabyte scale, with infrastructure-as-code as the default.
Automation & Tooling Drive developer productivity by building, guiding, and reviewing automation and internal tooling efforts across the engineering group; eliminate manual toil wherever it exists.
Performance & Capacity Profile and optimise services handling large-scale data pipelines; perform capacity planning for storage and compute-intensive workloads. Work with squads to establish performance benchmarks and expectations.
Reliability & Availability Define and own SLIs/SLOs/SLAs for critical services; build alerting, runbooks, and incident response processes; lead postmortems with a blameless culture.
Observability Instrument services with distributed tracing, logging, and metrics (Prometheus, Grafana, OpenTelemetry, GCP Dashboards or similar); build infrastructure, define best practices, and work with each squad to ensure every service is observable before it goes to production.
What We're Looking For
4+ years of hands-on DevOps, platform engineering, or SRE experience in a production environment.
Strong experience building and maintaining CI/CD pipelines and deployment automation at scale.
Proven experience with infrastructure-as-code tools (e.g., Terraform, Pulumi) and configuration management.
Strong fundamentals in designing, building, and maintaining resilient distributed and/or high performance systems.
Hands-on experience with Kubernetes and containerised workloads in cloud environments (GCP and/or AWS).
Solid understanding of networking, operating systems, and database technologies.
Experience with observability fundamentals metrics, logs, traces, and alerting.
Tech stack
We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply.
Backend: Python
Frontend: TypeScript and React
Deployment: Kubernetes
Infrastructure: GCP
Machine learning: PyTorch, CUDA, Ray
What We Offer
- Competitive salary and equity in a hyper growth startup.
- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.
- Strong in person culture. We're 4 days a week in our newly-launched office.
- Flexible PTO to recharge.
- Annual learning and development budget.
- 18 paid vacation days + federal holidays.
- Lots of opportunities for travel (all around the US, to London & Europe).
- Bi-annual off-sites and monthly socials.
- Health, dental and vision insurance.
Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.
Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
","descriptionPlain":"About us\n\nEncord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.\n\n \n\nTrusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.\n\n\n\nThe role\n\nWe're looking for a Senior DevOps Engineer with 5+ years of experience to join our growing platform engineering team in New York. You'll be embedded in the teams building and operating Encord's core infrastructure, ensuring our platform is performant, reliable, observable, and scalable. You'll drive a culture of automation, performance, and resilience through individual contributions and collaboration with multiple squads.\n\n\n\nWhat You'll Do\n\n - CI/CD & Deployment Own and continuously improve deployment pipelines; partner closely with developers to review infrastructure changes, streamline release processes, and champion DevOps best practices across the engineering group.\n\n - Infrastructure & Cloud Design, deploy, and maintain cloud infrastructure on GCP and AWS; manage Kubernetes clusters, networking, and storage at petabyte scale, with infrastructure-as-code as the default.\n\n - Automation & Tooling Drive developer productivity by building, guiding, and reviewing automation and internal tooling efforts across the engineering group; eliminate manual toil wherever it exists.\n\n - Performance & Capacity Profile and optimise services handling large-scale data pipelines; perform capacity planning for storage and compute-intensive workloads. Work with squads to establish performance benchmarks and expectations.\n\n - Reliability & Availability Define and own SLIs/SLOs/SLAs for critical services; build alerting, runbooks, and incident response processes; lead postmortems with a blameless culture.\n\n - Observability Instrument services with distributed tracing, logging, and metrics (Prometheus, Grafana, OpenTelemetry, GCP Dashboards or similar); build infrastructure, define best practices, and work with each squad to ensure every service is observable before it goes to production.\n\n\n\nWhat We're Looking For\n\n - 4+ years of hands-on DevOps, platform engineering, or SRE experience in a production environment.\n\n - Strong experience building and maintaining CI/CD pipelines and deployment automation at scale.\n\n - Proven experience with infrastructure-as-code tools (e.g., Terraform, Pulumi) and configuration management.\n\n - Strong fundamentals in designing, building, and maintaining resilient distributed and/or high performance systems.\n\n - Hands-on experience with Kubernetes and containerised workloads in cloud environments (GCP and/or AWS).\n\n - Solid understanding of networking, operating systems, and database technologies.\n\n - Experience with observability fundamentals metrics, logs, traces, and alerting.\n\n\n\nTech stack\n\n - We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply.\n \n - Backend: Python\n \n - Frontend: TypeScript and React\n \n - Deployment: Kubernetes\n \n - Infrastructure: GCP\n \n - Machine learning: PyTorch, CUDA, Ray\n \n \n\nWhat We Offer\n\n \n\n- Competitive salary and equity in a hyper growth startup.\n\n- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.\n\n- Strong in person culture. We're 4 days a week in our newly-launched office.\n\n- Flexible PTO to recharge.\n\n- Annual learning and development budget.\n\n- 18 paid vacation days + federal holidays.\n\n- Lots of opportunities for travel (all around the US, to London & Europe).\n\n- Bi-annual off-sites and monthly socials.\n\n- Health, dental and vision insurance.\n\n \n\nEncord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.\n\n \n\nOur work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.\n\n"},{"id":"e85d5fb9-9efb-482b-813e-4d9c8c5f7c00","title":"Customer Engineer ","department":"GTM","team":"Field Engineering & Operations","employmentType":"FullTime","location":"New York","secondaryLocations":[{"location":"San Francisco","address":{"postalAddress":{"postalCode":"94111","addressRegion":"CA","streetAddress":"832 Sansome Street #4","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-06-30T21:22:09.568+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"NY","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/encord/e85d5fb9-9efb-482b-813e-4d9c8c5f7c00","applyUrl":"https://jobs.ashbyhq.com/encord/e85d5fb9-9efb-482b-813e-4d9c8c5f7c00/application","descriptionHtml":"About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $110M in funding, including a Series C backed by Wellington Management, CRV, Next47, and Y Combinator.
The role
This is a unique opportunity for an ambitious, multi-talented individual to help build our Customer Support function and have a massive impact on a high growth business. As a Customer Support Engineer, you will be working with our customers on building world-leading AI applications across a broad set of verticals including retail, insurance, and healthcare.
You will also work closely alongside the wider Customer Success and Engineering teams as well as the co-founders to shape Encord's direction and help us manage our rapidly expanding customer base. The ideal candidate is a superstar who is willing to work hard, roll up their sleeves and take responsibility for managing innovative companies adopting computer vision technologies.
What you’ll do
Be accountable for Encord's Customer Support function, working across a wide range of innovative verticals
Establish open lines of communication both externally with customers and internally with Encord teams to manage customer queries through to resolution
Suggest and prototype technical solutions to customers who are using advanced features like the Python SDK or Encord Active
Understand and interact with some of our backend systems to investigate and resolve incoming customer support queries before escalating to engineering
Collaborate with internal stakeholders in engineering and product to triage, investigate and remediate queries; feed into product roadmap by raising themes across customer usage and possible areas to improve the product
Build strong relationships with customers to resolve queries and manage expectations, including with technical users and C-Level executives at target organisations
Monitor query response and resolution times to establish best practices and iterate on our Customer Support processes
Who we're looking for
Experience working with both high-touch and low-touch accounts
Previous support experience is desirable
Strong customer empathy — our customers are working on important, urgent, and interesting problems
Demonstrated experience with SQL and scripting languages such as Python or Ruby
Ability to understand customer queries and communicate problems and solutions to the internal team and back to customers at the appropriate level of detail and complexity
A love of technology and the ability to talk about it confidently
A growth mindset and willingness to contribute to the development of the Customer Support team
Ability to thrive in a fast-paced, team-oriented environment
Experience requirements
2–4 years of experience in a technical support or customer-facing engineering role such as Support Engineer, Technical Support Specialist, or Junior Solutions Engineer in a B2B SaaS environment
Full proficiency in Python and SQL, with the ability to read, write, and debug scripts and run queries to investigate customer issues
Experience interfacing with backend systems, logs, or APIs to diagnose and resolve technical issues before escalating to engineering
Demonstrated ability to manage a mixed queue of high-touch and low-touch customer requests, prioritizing effectively and communicating clearly at every stage
Strong written and verbal communication skills, with the ability to translate technical problems into clear, empathetic responses for both developers and non-technical stakeholders
Experience collaborating with Engineering and Product teams to triage bugs, document recurring issues, and surface product improvement themes
Familiarity with support or ticketing tooling (e.g. ZenDesk, Intercom, Linear, or similar)
Bonus: Exposure to computer vision, ML workflows, or AI infrastructure products; experience with REST APIs or SDKs; prior experience in an early-stage or high-growth start-up
Why Encord
Competitive salary and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Daily lunches & dinners
Bi-annual company offsites and monthly socials
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
We're looking for a Principal Engineer to join our Foundations team, the backend backbone that builds the reliable, scalable, fast systems everyone else at Encord builds on top of. The team's core challenges sit deep in distributed and data intensive systems.
The product mindset on this team is different from most of the company: short-term product insight matters less, long-term matters a lot. Our Foundations team plans around how the next 6, 12, and 24 months will look, with an overarching shape to the problem: handling multiple orders of magnitude the data we handle today. This is our most senior individual contributor role. You'll own the hardest architectural calls, make the trade-offs that shape the platform for years, and raise the engineering bar across the company.
Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 100, now, we're over 150 and continuing to accelerate. The systems that got us here won't get us to what's next. That's the problem you'll own.
Design and lead major database and processing-system initiatives
Design performant protocols and APIs, such as our label-format API, that customers use directly. This work sits across both product and engineering
Build robust distributed systems and reason rigorously about how they fail and how they behave under load
Level up engineers across the company through design reviews, pairing, and mentorship, without adding process for its own sake
You've seen and built more than most. You've personally designed, built, and operated large-scale distributed systems in production, and you've lived with your architectural decisions long enough to know which trade-offs actually matter
Your impact shows up in the output of the engineers around you, not just your own commits. You make hard things look simple and teach others to do the same
You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day
You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary
You enjoy problem-solving and thinking from first principles, reach for the simplest solution that works, and know when boring technology wins
You're happy to own problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go
You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you
10+ years building large-scale backend infrastructure applications, including several years operating at staff/principal level with company-wide technical influence
Deep expertise in distributed systems (databases, processing systems, replication, partitioning, queuing, caching) and a rigorous understanding of how they fail and behave under load at scale
Experience leading large-scale data migrations and system-splitting or re-architecture projects with real customer data on the line
Experience owning reliability and operations in production, including monitoring, alerting, and DevOps/SRE
A track record of raising engineering quality across teams through architecture reviews, code reviews, testing, rollout, and monitoring practices
Demonstrated ability to influence without authority, driving technical alignment across teams in a fast-moving, low-process environment
We are technology-agnostic at Encord and are not looking for experience across all of these. As long as you're open to learning, please apply.
Backend: Python
Frontend: TypeScript and React
Deployment: Kubernetes
Infrastructure: GCP
Machine learning: PyTorch, CUDA, Ray
Competitive salary, commission, and meaningful equity in a high-growth startup
Strong in-person culture: the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Daily company lunches
Monthly socials & bi-annual team offsites
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
About the role
We're looking for a Lead Security Engineer to own and mature how Encord secures its people, identities, devices, and the SaaS and AI tools we run the business on. You'll be hands-on, building and running controls yourself, while also owning the organisation security programme and acting as the go-to security expert across the company.
You'll play a key role in protecting our leadership team from targeted attacks, serve as the technical backbone of our ISO 27001 and SOC 2 programmes, and partner with our DevOps and Platform teams on cloud security. Above all, you'll help us stay safe while keeping our pace.
What you'll do
Own identity and access across Encord, including SSO, MFA, conditional access, and automated joiner/mover/leaver processes.
Manage our device security, keeping our macOS fleet protected through MDM and EDR.
Run SaaS and AI security: discovering shadow IT, reviewing app permissions, assessing new tools before adoption, and setting sensible guardrails for how AI tools are used.
Protect our executives and high-risk users from targeted phishing, impersonation, business email compromise, and AI-enabled fraud such as deepfakes.
Act as the technical owner of our ISO 27001 and SOC 2 controls, from policies and evidence through to auditor walkthroughs.
Lead third-party and vendor risk assessments.
Respond to and lead security incidents, and continuously improve how we detect and handle them.
Partner with DevOps and Platform to secure our cloud environment.
Write clear policies and runbooks, and roll out changes in a way that keeps the employee experience smooth.
What you'll bring
Around 7–8 years of hands-on security experience, with a strong focus on organisation security.
Experience rolling out or re-architecting SSO, MFA, and conditional access across a company.
Experience deploying and managing MDM and EDR across a macOS fleet.
A track record of building automated joiner/mover/leaver flows and user access reviews.
Experience running SaaS security, including discovering shadow IT, reviewing app permissions, and assessing new tools before adoption.
Experience putting guardrails around AI tool usage, such as approved tool lists, data handling rules, and vendor reviews of AI providers.
Ownership of, or significant contribution to, ISO 27001 and/or SOC 2 audits, including policies, control evidence, and auditor walkthroughs.
Experience defending against targeted phishing (\"whaling\") and business email compromise, such as fake CEO payment requests, invoice fraud, and gift card scams.
Experience leading or supporting security incidents such as phishing compromises, account takeovers, or lost devices.
Experience running third-party and vendor risk assessments and advising on the security of new tools before they're adopted.
Experience partnering with DevOps/Platform teams to secure cloud environments (ideally GCP), including IAM, network segmentation, secrets management, logging, and CSPM.
A habit of writing policies and runbooks that people can easily follow.
A thoughtful approach to change: you've rolled out new controls with clear communication, phased approaches, and a focus on keeping the employee experience smooth.
Nice to have
Experience with Infrastructure-as-Code (e.g. Terraform).
Experience owning vulnerability management across infrastructure, including scanning, prioritisation, remediation tracking, and SLAs.
Experience building and improving detection and monitoring, centralising logs into a SIEM and defining meaningful alerts.
Experience implementing and tuning SAST, DAST, SCA, and secrets scanning in CI/CD pipelines.
Experience coordinating external penetration tests and bug reports, and driving fixes to closure with engineering teams.
Experience helping engineers write secure code through guidance, patterns, and lightweight training.
Experience supporting sales and customer trust by answering security questionnaires and joining customer security calls.
Familiarity with executive digital protection, such as OSINT footprint reviews, impersonation monitoring, and out-of-band verification for sensitive requests.
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Company lunches twice a week
Monthly socials & bi-annual team offsites
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
This is a unique opportunity for an ambitious, driven individual who wants to see the inside of a fast-paced scale-up while working closely with the co-founders and senior team. The ideal candidate is someone willing to work hard, roll up their sleeves, and support the founders' priorities while learning every aspect of the business; ideal for someone who can execute at a high level across a wide range of responsibilities.
You will work directly with the co-founders and company leadership with direct visibility into an exciting, high-growth, mission-driven business.
What you'll do
Work directly with the co-founders on strategic priorities across GTM, engineering, growth, and company operations, including how the leadership team runs (reporting cadences, business reviews, etc.)
Support key account relationships alongside the commercial team as engagements evolve, from scoping to resolving commercial issues
Research the market and competitive landscape to inform decisions, from customer research to competitive positioning
Assist in vendor and partner evaluation and make recommendations on what moves into production
Plan, execute, and attend events. From company offsites to industry conferences. Responsibilities can include speaker, sponsor outreach, and more.
Support executive communications and external-facing content strategy
Build trackers and dashboards that help the team make decisions across a variety of data types
Who we're looking for
A do-er who is comfortable rolling up your sleeves for anything from an internal slide deck to a client demo, and energized by building something from the ground up
You take end-to-end ownership of broad, ambiguous problems and think from first principles to get to a result, without needing hand-holding
Obsessed with outcomes: you work best when given a goal and the autonomy to find a way there, iterating scrappily and resourcefully until it's done
Entrepreneurial and comfortable context-switching rapidly: a candidate interview, an Excel model, and a vision-pitch draft might all land in the same afternoon
Detail-oriented and proactively communicative. You and your team are always up to date, things rarely slip, and you're already thinking three steps ahea
Experience requirements
2+ years in a high-intensity, high-velocity environment — early-stage startup (founding team or first 20 employees), top-tier management consulting, investment banking, private equity, or a similarly demanding, execution-focused setting
Demonstrated ability to take an ambiguous brief, structure the problem, and drive it to a high-quality output end-to-end
Strong analytical and quantitative skills — comfortable building Excel or Google Sheets models, analysing product usage data, tracking growth metrics, and drawing actionable conclusions from numbers
Excellent written and verbal communication skills, with the ability to produce polished decks, memos, and external-facing materials quickly and to a high standard
Proven track record of managing multiple workstreams simultaneously without dropping the ball
Bonus: prior exposure to B2B SaaS or AI/ML; experience supporting a founder or C-suite executive directly; familiarity with GTM functions such as marketing, sales ops, or customer success
What we offer
Competitive salary, commission, and equity in a hyper-growth business
Strong in-person culture: most of our team is in the office 4x/week
Generous holiday allowance + public holidays
Annual learning and development budget
Paid trips to visit prospects, attend conferences, and host events across the UK, Europe, and US
Company lunches twice a week
Monthly socials & bi-annual off-sites
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
We're looking for a Senior Engineer to join our Foundations team, the backend backbone that builds the reliable, scalable, fast systems everyone else at Encord builds on top of. The team's core challenges sit deep in distributed and data-intensive systems.
The product mindset on this team is different from most of the company: short-term product insight matters less, long-term matters a lot. Foundations plans around how the next 6, 12, and 24 months will look, with an overarching shape to the problem: handling multiple orders of magnitude the data we handle today.
Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 100; now, we're over 150 and continuing to accelerate. The systems that got us here won't get us to what's next. That's the problem you'll help solve.
Take end-to-end ownership of significant projects within our database and processing systems, from design and architectural decisions all the way to deployment, monitoring, and measuring impact
Build robust distributed systems and reason carefully about how they fail and how they behave under load
Contribute to performant protocols and APIs, such as our label-format API, that customers use directly
Tackle complex domains and immense scale with simple solutions
Raise the bar through code reviews, pairing, and helping engineers around you do their best work
You've seen and built a lot. You have personally developed and maintained multiple systems from scratch, and you know what trade-offs are involved in building reliable, performant software at speed
You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day
You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary
You enjoy problem-solving and thinking from first principles, reach for the simplest solution that works, and know when boring technology wins
You're happy to tackle problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go
You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you
5+ years building large-scale backend infrastructure applications
Deep fluency in at least one high-level language (we use Python and TypeScript, but we care more about depth than the specific language)
Solid grounding in distributed systems concepts (databases, replication, partitioning, queuing, caching) and how they behave under load
Experience owning services in production and improving quality through code reviews, testing, rollout, and monitoring
Experience with data migrations or re-architecture projects is a plus
We are technology-agnostic at Encord and are not looking for experience across all of these. As long as you're open to learning, please apply.
Backend: Python
Frontend: TypeScript and React
Deployment: Kubernetes
Infrastructure: GCP
Machine learning: PyTorch, CUDA, Ray
Competitive salary, commission, and meaningful equity in a high-growth startup
Strong in-person culture: the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Daily company lunches
Monthly socials & bi-annual team offsites
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
We're hiring Technical Program Managers in London to run Encord's highest-stakes human data projects end to end — the work for frontier AI labs and physical AI companies, in specialist domains such as medical imaging and robotics, and the data types we are running for the first time. These are the projects where the technical complexity is highest and where a mistake is expensive.
You will work at the point where machine learning requirements become annotation work: translating what a research team actually needs into workflows, standards and instructions that a specialist workforce can execute at volume, then holding the result to a measurable standard.
This is the load-bearing role in the business, and it is a hands-on one. You will know your projects' annotation standards better than anyone at the company, teach them to the annotators producing the work, decide who works on what, judge who is performing and who should come off, resolve the edge cases nobody anticipated, and answer for the delivery timeline. You will run several projects at once, and you will own how they are run.
Own delivery of your projects end to end — throughput, quality and timeline
Translate complex machine learning requirements into clear annotation workflows, and design the process that produces the data the model actually needs
Become the deepest expert at Encord on your project's annotation standards, and the person who resolves ambiguity and edge cases as they surface
Maintain quality through process refinement, auditing and structured feedback loops, rather than through inspection at the end
Train annotators onto the project and keep them improving — building the material yourself until our Learning & Development Specialist is in place
Coach your annotation teams: give them the context behind the task, not only the rules, and develop their skills as the work gets harder
Measure annotator performance and make the calls it implies: who continues, who needs retraining, who comes off the project
Allocate tasks and manage the queue so that throughput and quality targets are met together rather than traded against each other
Instrument the project at launch with the Quality Systems Lead — acceptance criteria, sampling plan, reviewer ratio — so it is measurable before the first batch ships
Produce the delivery reporting for customers, and surface risk early enough that something can still be done about it
Partner with Product and Engineering on process and tooling improvements, and feed recurring problems back into the playbooks, into training and into the platform
You go deep on the detail. Your instinct is to read the whole specification and annotate fifty items yourself before you assign anyone else
Execution-oriented: you are measured by what shipped, not by what was planned, and you would rather fix a workflow than document one
Analytically rigorous. You work in numbers — throughput, quality rate, utilisation — and you notice when one is being bought at the expense of another
Technically fluent enough to work with ML teams on what they need and why, and to pull your own data rather than wait for it
You make people calls on evidence rather than on impression, and you can have the difficult version of that conversation
Organised under real load: several projects, several time zones, and requirements that move
A clear writer and a strong cross-functional communicator. Most of the workforce delivering your project you will never meet in person
Entrepreneurial: when a date is at risk your first move is to re-plan, not to escalate, and you invent the process where none exists
Genuinely interested in AI and in what the data you are producing is actually for
3–7 years of professional experience, ideally combining operational delivery with analytical work — AI data or annotation operations, strategy consulting, or data and operations roles at leading technology companies
Demonstrated end-to-end ownership of complex, multi-stakeholder workflows, with responsibility for the outcome rather than the coordination
Working proficiency in Python or SQL
Direct experience managing, coaching or performance-managing a distributed workforce
Track record of holding quality and throughput at the same time, with the numbers to show it
Experience translating a detailed technical specification into instructions other people can follow
Bonus: direct experience of annotation, evaluation or model-training workflows
Competitive salary, commission, and equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Company lunches twice a week
Monthly socials & bi-annual team offsites
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
We're hiring a Quality Systems Lead to own how Encord measures the quality of the human data we deliver to frontier AI labs, physical AI companies and enterprise AI teams — the standard itself, the systems that evaluate against it, and the audit function that produces the ground truth behind both. Data quality is what our customers buy. As we scale across data types — image and video, document, medical, LLM evaluation, robot teleoperation, egocentric capture — quality coverage cannot scale linearly with headcount. So this role has two halves that make each other work. You will build automated evaluation: model-assisted and LLM-based screening, agreement analysis at scale, anomaly and drift detection across annotation output. And you will build and run a dedicated audit team of around ten specialists in India, whose judgements become the labelled ground truth that trains and calibrates that automated layer. As coverage automates, the audit team moves up to the cases models can't judge and to generating gold sets for each new data type we take on. It is an unusual combination — engineering and consistent QC operations in one person — and it is the combination the job needs. You will also have an advantage your counterparts elsewhere in the industry don't: Encord owns the platform this work runs on, so the measurement you build can become native capability in the product rather than internal tooling.
Build automated dataset quality evaluation and root-cause detection — model-assisted and LLM-as-judge screening, agreement analysis at scale, anomaly and drift detection across annotation output
Hire, train, calibrate and manage a dedicated audit team of around ten specialists based in our India operation, held to inter-rater agreement and catch rate rather than volume audited
Turn audit output into labelled ground truth that trains and validates the automated layer, and manage the ratio of automated to manual coverage deliberately over time
Own the quality standard for every data type we deliver — written rubrics with worked edge cases, golden sets, and acceptance criteria agreed with the customer, alongside the Special Projects lead, before the first batch ships
Build scoring systems that rank annotator and reviewer performance and feed routing, staffing and offboarding decisions
Set the pass thresholds that certification gates on, so nobody works a project queue without having demonstrated they meet the standard
Report quality KPIs to leadership, and into the reporting our Special Projects leads take to customers: accuracy against client spec, inter-annotator agreement, rework rate, cost of rework, and coverage
Work with Project Management on remediation — you produce the measurement and the diagnosis, production owns fixing the project, and the standard stays independent of the people being measured
Own the unit economics of quality: cost per audited unit, and the coverage you buy per pound spent
Partner with Product and Engineering to bring quality measurement into Encord platform as native capability
You build and you operate. You'll write the evaluation pipeline, and you'll also run the weekly calibration session with ten auditors in another country
Your instinct on a coverage problem is to automate it — you reach for a model, a heuristic or a better sampling design before you reach for more auditors
Statistically literate in a practical way: sampling design, agreement statistics, and the judgement to spot a metric being optimised against rather than met
You can hold a calibrated standard across a distributed team you don't sit with — you know that ten uncalibrated auditors produce ten standards
A strong writer. Much of this job is producing rubrics a distributed workforce can follow without you in the room
You hold a standard under commercial pressure, and you bring the evidence that makes it stick with a delivery team or a client
Systems thinker: as interested in why a failure recurs across projects as in this project's defect rate
4+ years owning both technical and operational outcomes in a data, AI or service delivery environment where quality was measured rather than asserted
Hands-on Python and SQL. You build the analysis and the tooling rather than specify it for someone else
Practical experience applying models to a quality or evaluation problem — LLM-as-judge, model-assisted QA, automated evaluation, anomaly detection or classifier-based screening
Sampling methodology and agreement statistics (Cohen's and Fleiss' kappa, F1 against ground truth) applied to real production data
Experience hiring, training and managing a team, ideally an audit, review or QA team, and ideally distributed
Track record of building a quality framework or function, including the reporting leadership and customers run on
Bonus: direct experience of annotation, evaluation or model-training workflows, and of what frontier AI labs accept as evidence of quality
Bonus: a STEM degree, or a background in data science or research engineering
Bonus: multilingual delivery and linguistic quality assessment
Competitive salary, commission, and equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Company lunches twice a week
Monthly socials & bi-annual team offsites
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
As Finance Associate at Encord, you'll own the operational core of our finance function, including: supplier payments, customer invoicing, and month-end reconciliations - ensuring everything runs accurately and on time. You'll partner closely with the wider finance function and cross-functional teams across the business, helping make finance a great partner to the rest of the company. The day-to-day processes are yours to run and improve: where something is manual or unclear, you'll have the real opportunity to make it better. It's a strong fit for someone early in their finance career who takes ownership seriously and wants their work to underpin the teams building tools for multimodal AI.
Manage day-to-day bookkeeping, accounts payable, VAT returns and accounts receivable.
Process employee expense reports and ensure adherence to company policies.
Oversee client invoicing and manage billing workflows.
Assist with month-end close procedures, bank reconciliations, and general ledger maintenance.
Support financial reporting, budgeting, and variance analysis.
Collaborate on ad-hoc finance and operational projects as they arise.
Precision in the core. You take pride in managing the transactional heart of the company. You aren't just processing invoices or reconciling accounts; you view accuracy in bookkeeping and compliance as the critical foundation that allows us to move fast and make informed decisions.
A builder of systems. You don’t just accept manual processes as status quo. Whether it’s improving expense workflows or refining billing, you look for the \"better way\" to do things, ensuring our financial systems scale as quickly as our business.
Collaborative by nature. You recognize that effective finance isn’t a back-office function—it’s a partner to the business. You’re ready to bridge the gap between financial operations and the cross-functional teams building the tools for multimodal AI.
Ready for high-growth ownership. You are early in your finance career, but you crave responsibility. You want a role where your daily output directly supports our growth, and you’re hungry for the professional development that comes from operating in a fast-paced environment.
Degree in Finance, Accounting, Economics, or a related quantitative field.
1-2 years of experience in a finance, accounting, or analytical role (tech or startup experience is a plus, but not required).
Solid foundational knowledge of bookkeeping, accounts payable/receivable, and invoicing.
Strong attention to detail, accuracy, and organizational skills.
Proficiency in spreadsheet software and financial tools. An understanding of AI-native finance stacks would be advantageous
Proactive mindset with the ability to adapt in a fast-paced, growing environment.
Competitive salary, commission, and equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Daily lunches & dinners
Monthly socials & bi-annual team offsites
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
We are looking for a driven Operations Associate to join our team. In this pivotal role within the Encord Operations Team, you will be instrumental in onboarding new team members and enhancing existing processes to help us achieve our collective goals. This is a unique opportunity to influence the People Operations function at a fast-growing global company while helping build outstanding employee experiences. Your contributions will play a crucial role in fostering a collaborative and efficient environment.
Oversee day-to-day office operations in our UK office, including scheduling, office management, and office supplies procurement to ensure a well-functioning and efficient workplace.
Support the onboarding process, including ensuring new team members are set up on all our systems and processes are operational for success
Organise and manage company events and socials, ensuring all logistics are handled smoothly and the events promote team cohesion and morale.
Contribute to key HR initiatives and special projects as they arise and provide comprehensive operational assistance across the broader team.
Highly organised, with ability to manage multiple work priorities while delivering operations solutions at a high-growth pace.
Ability to build positive working relationships with cross-functional teams in a company.
Ability to problem solve and come up with innovative solutions to problems.
Proven background in leading and executing core, day-to-day office operations.
Demonstrated track record of designing and establishing baseline systems (including onboarding procedures, relationships with new vendors, and handling compliance items) from the ground up to support rapid organizational scale.
A strong ability to oversee multiple operational initiatives concurrently, such as: office moves, corporate gatherings, or event logistics, with exceptional attention to detail and clear, effective communication.
Comfort with core operational systems (e.g., ticketing software, HRIS, or CRM platforms) and hands-on experience streamlining routine processes through automation (preferred but not required).
Competitive salary and equity in a hyper-growth business.
Strong in-person culture: our team is in the office 4+ days a week.
25 days annual leave + UK public holidays.
Free lunch everyday in the office.
Annual learning & development budget.
Monthly socials & bi-annual team offsites.
Room to grow into anything you choose to, we’ll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle.
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're looking for a DevOps Engineer with 4+ years of experience to join our growing platform engineering team in London. You'll be embedded in the teams building and operating Encord's core infrastructure, ensuring our platform is performant, reliable, observable, and scalable. You'll drive a culture of automation, performance, and resilience through individual contributions and collaboration with multiple squads.
What You'll Do
CI/CD & Deployment Own and continuously improve deployment pipelines; partner closely with developers to review infrastructure changes, streamline release processes, and champion DevOps best practices across the engineering group.
Infrastructure & Cloud Design, deploy, and maintain cloud infrastructure on GCP and AWS; manage Kubernetes clusters, networking, and storage at petabyte scale, with infrastructure-as-code as the default.
Automation & Tooling Drive developer productivity by building, guiding, and reviewing automation and internal tooling efforts across the engineering group; eliminate manual toil wherever it exists.
Performance & Capacity Profile and optimise services handling large-scale data pipelines; perform capacity planning for storage and compute-intensive workloads. Work with squads to establish performance benchmarks and expectations.
Reliability & Availability Define and own SLIs/SLOs/SLAs for critical services; build alerting, runbooks, and incident response processes; lead postmortems with a blameless culture.
Observability Instrument services with distributed tracing, logging, and metrics (Prometheus, Grafana, OpenTelemetry, GCP Dashboards or similar); build infrastructure, define best practices, and work with each squad to ensure every service is observable before it goes to production.
What We're Looking For
4+ years of hands-on DevOps, platform engineering, or SRE experience in a production environment.
Strong experience building and maintaining CI/CD pipelines and deployment automation at scale.
Proven experience with infrastructure-as-code tools (e.g., Terraform, Pulumi) and configuration management.
Strong fundamentals in designing, building, and maintaining resilient distributed and/or high performance systems.
Hands-on experience with Kubernetes and containerised workloads in cloud environments (GCP and/or AWS).
Solid understanding of networking, operating systems, and database technologies.
Experience with observability fundamentals metrics, logs, traces, and alerting.
Tech stack
We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply.
Backend: Python
Frontend: TypeScript and React
Deployment: Kubernetes
Infrastructure: GCP
Machine learning: PyTorch, CUDA, Ray
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Company lunches twice a week
Monthly socials & bi-annual team offsites
About Us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47, and Y Combinator.
The Role
You’ll be the driving force behind Encord’s growth, building out our sourcing motion and leading a top team of Commercial Associates and BDRs. You will be obsessively focused on making sure the leading AI teams – from exciting growth-stage startups to F500 organizations – know how Encord can help them bring their AI applications to market, and why they should choose to work with us.
The majority of your time will be spent on:
Owning and building out our pipe generation machine. You will work closely with our Sales, Marketing, and Customer Success leadership as well as Encord’s co-founders to take our outbound motion to the next level. You’ll be balancing scaling what's been working with experimenting and finding new growth curves for us to grow on (think new campaigns to run, new messaging to test, new growth hacks to experiment with).
Leading and mentoring top talent. Our Commercial Associate and BDR team is ambitious, hungry to win, and extremely talented. And when they set their mind on a prospect, they rarely struggle to book a meeting. You’ll work with the team on product and sales enablement, consistent coaching, and growth-path support, ensuring we keep retaining, developing, and scaling the team as we grow.
We have big goals, and you’ll have the autonomy to build the engine and team to continue to achieve our targets.
About you
You’re ambitious and hard-working, and will succeed at whatever you put your mind to. You make up for any potential lack of experience with intelligence, grit, and a constant growth and solutions mindset. You have natural hustle and know how to get people on your side. You are hungry for an entrepreneurial & high impact journey, and derive energy from building meaningful relationships and setting & achieving lofty goals. You get bored when things don’t move fast or when you can’t have an outsized impact.
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth start-up
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4 days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company off-sites, twice-weekly team lunches, and monthly socials
About Encord
Encord is the universal data layer for AI. Our platform indexes, curates, annotates and evaluates multimodal data across the full AI lifecycle, from development to production, for 300+ AI teams including Woven by Toyota, AXA, UiPath and Zipline.
Encord was founded by former computer scientists, physicists and quants who saw first-hand how poor tooling for training data slows AI progress. We're a Series C company backed by CRV and Y Combinator, with 150+ people across London, San Francisco and New York.
The role
Most engineers never get to redesign core infrastructure for the next 100x of scale. On Foundations, that's the job.
AI teams are generating video, images, 3D sensor data and documents faster than anyone's systems can keep up. Help us build the high-performance data systems behind the AI data platform for robotics and beyond.
You'll join Foundations, the backend backbone of Encord. We build the reliable, scalable, fast systems every other team and every customer runs on. The work sits deep in distributed and data-intensive systems: storage, indexing, querying and processing multimodal data at a scale few companies ever reach.
The timing is rare. A year ago we were a team of 100; now we're over 150 and still accelerating, driven by massive demand. We are building the team to unlock our next orders of magnitude of scale and capability.
What you'll do
Own significant projects in our data systems end to end: design, architecture, deployment, monitoring and measuring the impact you made
Build distributed systems that stay fast and correct under load, and reason carefully about every way they can fail
Shape performant protocols and APIs, that customers build directly on top of
Find simple solutions to complex domains at scale, and know when boring technology wins
Raise the bar for everyone around you through code reviews, pairing and sharing what you know
Why engineers join Foundations
Scale that's genuinely hard. Multimodal AI data is big, messy and growing fast. You'll solve problems most backend engineers only read about.
Real ownership. You'll own whole systems, not tickets, and the architectural calls are yours to make.
Work that ships. Your systems power 300+ AI teams, including Woven by Toyota, AXA, UiPath and Zipline.
Long-term thinking. A team that plans 24 months out and gives you room to build things properly.
The right moment. A Series C company growing fast, early enough that your decisions shape the platform for years.
Who we're looking for
You've seen and built a lot. You have personally developed and maintained multiple systems from scratch, and you know what trade-offs are involved in building reliable, performant software at speed
You combine rigorous engineering with ruthless prioritisation to ship efficient and correct systems quickly.
You're happy to tackle problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go
You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you
Experience requirements
Fluency in at least one high level (Python, Typescript), and one imperative statically typed (Rust, C++, Java, Go, or other)
Solid grounding in distributed systems concepts (databases, replication, partitioning, queuing, caching, consistency) and how they behave under load
Deep understanding of CS fundamentals, data structures and algorithms
Experience owning services in production and improving quality through code reviews, testing, rollout and monitoring
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Daily company lunches
Monthly socials & bi-annual team offsites
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
Encord is a fast-growing company building the data infrastructure layer for AI teams. We work with leading enterprises across autonomous vehicles, healthcare, robotics, and generative AI. Our product team is small, high-calibre, and operating in green-field territory. The data layer for AI is still being defined, and you will help define it.
As Product Lead, you will own a meaningful slice of the product, spanning the core platform experience, data curation and exploration layer, and drive it from strategy through to customer outcomes. You will lead and grow a team of Product Managers, setting direction, raising the bar on craft, and multiplying your impact through them. You will work closely with Engineering, ML, Design, and Customer Success, and play an active role in Encord's enterprise go-to-market motion.
This is a high-autonomy role for someone who is comfortable making independent decisions and driving them through, and who can build a team that does the same.
The Opportunity: Just as LLMs were unlocked by massive text datasets, the next wave of breakthroughs in self-driving vehicles, robotics, drones and generative AI requires building entirely new datasets and human feedback pipelines that don't yet exist. Encord is the platform the world's most ambitious AI teams use to build them, and you'll be helping define what that platform looks like.
Hard and Complex Problems: There is no playbook for what the data layer for AI looks like. You'll be solving novel problems across your product areas: from core platform (tooling that scales from a 10-person startup to a 500-person AV team) to data curation (helping customers turn floods of raw data into high-signal training datasets).
Ownership and Growth: Product is represented at the highest levels at Encord. You'll have real ownership: setting strategy, making calls, driving them through, and building the team that executes. As one of the most senior product people in the company, your impact is visible and your trajectory is accelerated.
What you'll do
Own and manage the product roadmap across your areas, ensuring alignment with company goals, KPIs, and enterprise customer needs
Manage, coach, and develop Product Managers: setting clear goals, giving regular feedback, reviewing their specs and decisions, and accelerating their growth.
Set the standard for product craft across the team: discovery, prioritisation, spec quality, and shipping cadence
Lead customer discovery, interviews, problem validation, webinars, and demos, translating complex pain points into clear, winning product bets
Partner with Sales and Customer Success to drive upsell, cross-sell, and expansion within our largest enterprise accounts
Collaborate with Engineering and Design to ship high-quality features at pace, writing tight specs, making clear tradeoffs, and holding a high bar for what ships
Play a leading role in building a high-performing, collaborative product management culture as the team grows
Experience requirements
Experience in product, ideally including time at a rapidly scaling startup. You have seen an organisation scale and know what good product looks like at each stage
Experience managing or formally mentoring other product managers, or a clear track record of leading through others and a strong desire to step into people management
Proven experience on B2B SaaS products or technical products sold to enterprise customers. You understand the enterprise sales motion, expansion, and how product decisions connect to revenue
You speak in metrics and impact, not features shipped. You have worked closely with GTM teams and can tie product decisions to business outcomes
A self-starter who makes independent decisions and drives them through. You want ownership, not just input. You are energised by ambiguity, not paralysed by it
You love speaking to customers. You are curious about hard problems at the frontier of AI, and you anticipate needs before customers can fully articulate them
Excellent communication skills for leading internal sessions and external engagements, customer interviews, demos, and stakeholder presentations
Encord encourages people from all backgrounds, cultures, and skill levels to apply. You don't need to meet every requirement. We are looking for people who are passionate, customer-focused, and eager to learn.
Why Encord
Competitive salary and meaningful equity in a high-growth startup
Strong in-person culture - most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Company lunches twice a week
Monthly socials & bi-annual team offsites
Encord is the universal data layer for AI, helping 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more, we're an ambitious team of 100+ working at the frontier of AI. We've raised $60M in Series C funding from Wellington Management, CRV, Next47, and Y Combinator.
We're looking for a GTM Recruiting Associate to help us hire exceptional talent across Sales, Marketing, Customer, and other commercial teams.
You'll work closely with our recruiting team and hiring managers to identify great candidates, build pipelines, run recruiting processes, and keep searches moving quickly.
This is a great opportunity for someone early in their recruiting career who wants significant exposure, responsibility, and the opportunity to grow into a full-cycle recruiter.
Source exceptional GTM talent through LinkedIn, Juicebox, referrals, and creative outbound
Build targeted market maps and candidate pipelines for priority searches
Conduct initial candidate screens and help assess fit
Manage candidates through the recruiting process and deliver a great candidate experience
Keep searches organized, accurate, and moving quickly
Track pipeline health, conversion, and recruiting activity
Partner with recruiters and hiring managers to identify bottlenecks and next steps
Experiment with new sourcing strategies, messaging, and channels
Develop strong judgment around what great GTM talent looks like
Take on increasing ownership of searches as you grow
You naturally meet new people and consider yourself a super connector
Loose ends drive you crazy
When something isn't working, you try something else without being asked
You naturally double-click and ask 70% more questions than most people
You follow through and follow up
Trustworthy with candidates, teammates, and sensitive information
Low ego, no drama
1–2+ years of recruiting, sourcing, sales, or other relevant experience
Strong written and verbal communication
Comfortable with outbound sourcing and reaching out to people you don't know
Highly organized and able to manage multiple priorities at once
Familiarity with LinkedIn Recruiter, Juicebox, or recruiting tools is a plus
Experience in a fast-growing startup or technology company is a plus
Base salary, quarterly commission, and equity
Clear opportunity to develop into a full-cycle GTM Recruiter
Significant ownership and exposure early in your career
Work directly with experienced recruiters and business leaders
4 days/week in our San Francisco (FiDi) office
Flexible PTO + 18 paid vacation days and federal holidays
Annual learning & development budget
Comprehensive health, dental, and vision coverage
U.S. and international travel opportunities
Bi-annual offsites, twice-weekly team lunches, and monthly socials
We're looking for a Recruiting Engineer to help our recruiting team move faster.
This is a great entry point for someone who wants to learn how a high-growth startup actually works. You'll work across roles spanning Sales, Engineering, AI, Operations, Marketing, and leadership, getting exposure to different teams, levels, and problems across the business.
You'll source exceptional people, help run candidate onsites, experiment with new recruiting tools, improve how we work, and jump into whatever will help us hire faster.
You'll also build an incredible network along the way, meeting talented operators, engineers, salespeople, executives, and founders across the AI ecosystem.
Find and engage great candidates across technical and non-technical roles
Research companies, industries, and talent markets
Help run candidate interviews and onsite experiences
Use AI, automation, and recruiting tools to make the team faster
Keep recruiting processes organized and moving
Work on roles across different teams and levels of seniority
Jump into new projects wherever you can create leverage
This is a chance to get a front-row seat to building a high-growth AI company.
You'll learn how different parts of a startup operate, work directly with people across the business, develop strong judgment around talent, and build a network that would normally take years to develop.
If you're early in your career, ambitious, curious, and not quite sure which part of the startup world you want to build your career in yet, this is a pretty great place to start.
Base salary, quarterly commission, and equity
Significant ownership and growth as Encord scales
Direct partnership with senior leaders on critical hiring priorities
4 days/week in our San Francisco (FiDi) office
Flexible PTO + 18 paid vacation days and federal holidays
Annual learning & development budget
Comprehensive health, dental, and vision coverage
U.S. and international travel opportunities
Bi-annual offsites, twice-weekly team lunches, and monthly socials
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
You're a quant developer. You've built high-performance systems that process billions of events per day in real-time, and you care deeply about consistency, correctness and performance. Now you want to build in AI
This is your chance. Encord is a scale-up serving the frontier of physical AI and robotics, the largest technological revolution in history, where what you build ships fast and you own it. Help us build the AI data platform for the future of robotics.
You know how to build systems that are fast and correct under pressure. The hardest problems in AI right now are data problems: distributed, data-intensive systems that have to stay correct and performant at scale.
You will join the Foundations team, who build the data systems that enable frontier robotics labs to generate, understand, train, and test on massive volumes of robotics data. We don’t just react to an order book tick - you will need to handle large 3D scenes, hour-long videos, LIDAR point clouds, and ML inference, all under tight performance and operational budgets.
Why now? A year ago we were a team of 100; now we're over 180 and still accelerating. You'll work directly with a high-bar team, take on high-stakes problems, and help shape where the platform goes next.
Design, build, deploy and own data systems processing petabytes of data across billions of items, from design and architectural decisions all the way to deployment, monitoring and measuring impact
Build robust distributed systems and reason carefully about how they fail and how they behave under load
Design performant protocols and APIs, and tackle complex domains and immense scale with correct and pragmatic solutions, moving extremely fast while maintaining engineering quality.
Build as part of a high-performing team, contribute your knowledge and experience to others.
You have personally developed and maintained systems from scratch, and know what trade-offs are involved in building reliable, performant software at speed. You will have excelled at something demanding, and can show that your good technical decisions day after day compounded into a competitive edge.
You may not have AI or ML experience, and that's fine: you are an incredibly fast and curious learner. You can pick up a new topic and quickly become an expert by being ego-less in asking the right questions, and rigorous in performing experiments that propel you up the learning curve.
You excel under pressure and uncertainty. You don’t let up the pace, you attack the heart of the problem, and you repeatedly make the right tradeoffs.
You deeply care about the systems you build. You take pride in having thought through the failure modes, shipping readable, bulletproof code, and delivering today instead of next week.
You enjoy being a member of a high-performing team. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you.
1-5+ years building and operating serious institutional-scale systems.
Fluency in Python or Typescript and a deep understanding of a least one of Rust, C++, Java or Golang.
Solid core CS knowledge in data structures and algorithms, distributed systems concepts (databases, replication, partitioning, queuing, caching) and how they behave under load
Experience owning services in production and improving quality through code reviews, testing, rollout and monitoring
Experience at a trading firm, market maker, hedge fund or exchange is a plus: trading systems, market data pipelines, tick or time-series stores, risk engines, ML/QR research pipelines, are all relevant to what we build. Experience with large data migrations or re-architecture projects is a plus.
Why Encord
Competitive salary, and meaningful equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Daily company lunches
Monthly socials & bi-annual team offsites
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
We're looking for a Product Engineer to join our Data as a Service team in San Francisco.
LLMs happened because internet scale text already existed. Robotics has no internet to scrape. Nobody has labelled the physical world at scale, and every robot, AV, and surgical system on earth is stuck on exactly that. Surgical teams need thousands of labelled procedures. AV teams are sitting on 100,000 hours of footage they can't use.
Our Data as a Service team exists to unstick all of it. Customers hand us robotics video, LiDAR, medical imaging. We hand back labels. Sounds simple. It isn't: an ML layer routing work between models and expert humans, quality that's measured rather than vibes, one platform serving AI labs on one side and a global annotation workforce on the other.
The teams work is largely greenfield. There's no legacy system to work around and no playbook to follow, because nobody has built this before. What you ship becomes the foundation. The last wave of AI was built on internet data; the next one will be built on data from the physical world, and this team is building the machine that produces it.
No ticket queue, no PM between you and the user: Product engineering here means the real version. You talk to the customer, figure out what matters, make the product call, ship it, and own the outcome: the win and the blast radius.
Genuinely unsolved problems: Design the workflow where human reviewers and AI models hand work back and forth thousands of times an hour, and it feels seamless to the customer. Build one product that flexes across robotics, AV, and healthcare without turning into three products.
End-to-end ownership: From product, design, and architectural decisions, all the way to deployment, monitoring, and measuring impact on users.
Autonomy and collaboration: You will often work autonomously to take charge of your projects and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.
Are a builder: You know the difference between having a job and building something. You've founded something, been engineer #1, or been the engineer PMs quietly route the ambiguous stuff to.
Are experienced: You've personally built and maintained systems from scratch, and you know what trade-offs are involved in shipping reliable, performant software at speed.
Want customers in the room: Discovery calls, feedback, iteration: you'd rather hear it first-hand than read it in a ticket.
Are a team player: You raise the people around you. You contribute your best work and help others contribute theirs.
Base salary, quarterly commission, and equity
Significant ownership and growth as Encord scales
Direct partnership with senior leaders on critical hiring priorities
4 days/week in our San Francisco (FiDi) office
Flexible PTO + 18 paid vacation days and federal holidays
Annual learning & development budget
Comprehensive health, dental, and vision coverage
U.S. and international travel opportunities
Bi-annual offsites, twice-weekly team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're looking for an exceptional Forward Deployed Software Engineer (FDSE) to join our engineering team. This is an engineering-first role: FDSEs are the technical owners who take the Encord platform into our most strategic and advanced customer environments, working directly with users and their engineering teams to understand complex problems, make system design decisions, and build production software that solves them.
As an early member of the Forward Deployed team, you'll have an outsized impact on shaping a critical engineering function at Encord. You'll work hands-on across the stack, from APIs and data workflows to backend services and product surfaces, while owning technical problems end to end. You'll make architecture decisions under real production constraints, debug complex integrations and workflows, and build solutions that can scale beyond a single customer or use case. You'll operate autonomously, defining the right technical approach with limited guidance, building trusted relationships with users, and feeding what you learn directly back into the product and engineering roadmap.
What you'll do
Design and build production software for complex data, ML, and application environments
Own system design decisions for deployments, balancing correctness, scalability, performance, and speed
Work directly with customers and their engineering teams to understand ambiguous problems and define the right technical solution
Build across the stack, from APIs and data workflows to backend systems and product-facing functionality
Own deployments from technical scoping through implementation, rollout, and iteration
Turn recurring customer problems into reusable tooling and product capabilities
Debug complex production issues across reliability, performance, and data flow
Communicate technical decisions and trade-offs clearly to technical and non-technical stakeholders
Operate with high autonomy and own problems end to end
Feed deployment insights back into Product and Engineering, and help shape the FDSE function as the team grows
Who we're looking for
A strong software engineer. You have solid fundamentals and the technical depth to design and build complex production systems
A first-principles problem solver. You dig into the underlying problem, challenge assumptions, and make sound technical and product trade-offs rather than defaulting to the obvious solution
A strong communicator and stakeholder partner. You can build trust, navigate competing priorities, and explain complex decisions clearly
An autonomous builder. You operate with limited guidance, create structure from ambiguity, and drive problems through to production
A versatile product engineer. You’re comfortable working across the stack and moving between hands-on engineering, product thinking, and conversations with the people using what you build
Experience requirements
4+ years of software engineering experience with strong CS fundamentals
Experience building production software across the stack, from product-facing applications and APIs to backend services and data workflows
Strong system design judgment and experience making architecture decisions for complex software
Strong coding skills in a modern language; Python is a plus
Evidence of owning technical problems end to end, from design through production
Strong product judgment, technical communication, and stakeholder management
Experience working directly with users, customers, or external engineering teams is a plus
Bonus: experience in a high-growth startup, developer platform, or ML/data product environment
Why Encord
Competitive salary, bonus, and meaningful equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
Flexible PTO to fully recharge
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, daily team lunches, and monthly socials
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're looking for a Research Engineer to join Encord's ML team. You'll work on robotics, computer vision and multimodal research in data curation, annotation, evaluation and quality control, with successful work going into the core product.
We face a variety of interesting research problems across the full data life-cycle, including annotation, quality control, verification and curation. We are looking to strengthen our team to build upon and extend our market-leading platform. The kind of problems we solve are constantly evolving alongside the needs of our frontier customers, including many of the leading robotics and physical AI teams. Join us as we leverage our massive flow of proprietary data on our journey to develop generalised solutions applicable across diverse multi-modal tasks.
What you'll do
Form hypotheses, design experiments, and drive original research on open problems from leading robotics and AI customers
Research and prototype agentic workflows which can handle multimodal inputs and diverse customer ontologies
Advance our work on data curation and model evaluation
Tackle egocentric video understanding, from captioning to deeper 3d understanding
Build working prototypes to test ideas end to end, then partner with our ML systems and Product Engineering teammates to bring them into the platform
Help shape our longer-term research direction and bring the most relevant ideas from the field back to the team
Publish research papers and present your work at conferences and workshops
Who we're looking for
A builder with a research mindset. You can take an open-ended problem, form a hypothesis and get to a working prototype without a detailed spec.
A first-principles problem solver. You lean on strong fundamentals rather than surface-level familiarity with the latest trends.
A big-picture thinker. You're excited by ambitious, longer-term problems and know how to break them into steps.
A multiplier. You raise the level of the team around you by shaping research direction, mentoring others and turning findings into decisions.
Experience requirements
A PhD in computer vision, machine learning or a related field, or equivalent applied research experience
A strong background in computer vision and multimodal ML, whether in traditional CV, modern VLMs and embedding models, or both
Clear evidence of independent research, such as publications, a thesis, open-source work or applied research where you owned the original contribution
Solid mathematical foundations in statistics, probability and linear algebra
Strong Python and PyTorch skills, and experience running experiments end-to-end
A genuine interest in data-centric AI: curation, evaluation and data quality
Bonus: experience applying LLM-based agents to visual tasks, or working with video, 3D or other complex data types
We’ll start reviewing applications from 1 November 2026. It may take a little while to hear back, but every application will get proper consideration.
Why Encord
Competitive salary and meaningful equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Daily company lunches
Monthly socials & bi-annual team offsites