- Location
- San Francisco, CA, United States
- Employment
- Full time
- Level
- Mid level
- Posted
- 4 days ago
About this role
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.
Who we are looking for
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.
What to expect
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.
About You
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.
Why Encord
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
As published by Encord. Applications are handled on their site.
Skills this posting mentions
About Encord
Encord is the data layer for physical AI. We're how the world's most ambitious AI teams turn messy, multimodal data into production systems - from humanoid robots to autonomous vehicles to smart infrastructure. 300+ teams including Toyota, Skydio, and Maxar rely on Encord to curate, manage, and align the data their models actually need. $110M raised. San Francisco, New York, and London.
All 42 openings at EncordOne click, then it is written
Apply to Encord with a resume written for this role.
Queue Product Engineer, DaaS and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Encord’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
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Put this to work
Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
Listed from the job board Encord publishes. Refolk is not the employer and does not handle their hiring. Applications go to Encord directly.