Product Engineer, DaaS

AI in this role

Builds AI data pipelines and workflows for physical world AI data at Encord.

product-engineeringfull-stackroboticscomputer-vision

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

How we rate this

Product Engineer, DaaS at Encord rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Product Engineer, DaaS is an open job at Encord.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $150k-$250k a year.
The role is based in San Francisco.
The job was posted on October 5, 2026.
Seniority: mid.
Applications are handled by Encord. Apply on Encord

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Product EngineeringFull StackRoboticsComputer Vision

Questions you could be asked

Tell me about a project where product engineering was part of your work. What did you do?
Tell me about a project where full stack was part of your work. What did you do?
Tell me about a project where robotics was part of your work. What did you do?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: Product Engineering, Full Stack, Robotics, and Computer Vision. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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