---
title: 'Product Engineer, DaaS at Encord'
canonical: 'https://feeny.ai/job/product-engineer-daas-encord-san-francisco-f6gesst71key'
type: 'job'
last_seen: '2026-10-17'
---

# Product Engineer, DaaS at Encord

- **Company:** Encord
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-05
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/encord/eb543661-f25f-42c7-a196-1d5489123ea6

## Job description

## 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

## About Encord

## Company Overview
- **One-liner**: Encord provides the data infrastructure layer for physical AI, helping teams curate, annotate, evaluate, and manage multimodal training data for systems like autonomous vehicles, robotics, and smart infrastructure.
- **Entity Type**: Private (Venture-backed, $110M total funding)
- **Headquarters**: San Francisco, California, United States (with offices in New York, NY and London, UK)
- **Founded**: 2021
- **Founders**: Ulrik Stig Hansen (CEO/Co-Founder), Eric Landau (Co-Founder & President)

## Core Business
- **Primary industry**: AI infrastructure / Data annotation & curation for Physical AI (autonomous vehicles, robotics, world models, industrial automation)
- **Target customers**: Enterprise AI teams building multimodal, sensor-heavy AI systems (B2B, Enterprise)
- **Mission/purpose**: "Train and run AI on the right data" – solving the data quality bottleneck that prevents AI products from reaching production.

## Products & Services
- **Encord Platform**: End-to-end data management platform covering curation, annotation (native video, LiDAR, audio, text, sensor fusion), RLHF alignment, and model evaluation. API/SDK-first, zero data migration, runs on the customer’s cloud.
- **Data-as-a-Service (DaaS)**: Professional services for data collection and annotation, including in-field operators and teleoperation facilities matched to physical AI tasks.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding $110.1M (as of 2026); annual revenue estimated at $5.5M (LinkedIn proxy, "Not publicly available" for official numbers)
- **Notable Investors/Partners**: CRV, Y Combinator (W21 batch), and individual investors like Luc Vincent (former VP of AI at Meta). Customers include Toyota, Skydio, Maxar, and UiPath (UiPath achieved near 99% model accuracy and 10x dataset growth using Encord).
- **Growth Signals**: 139 employees (+74.3% YoY, +78 people); 300+ teams using the platform; operates in 7 countries; recognized as one of the fastest-growing companies in the data annotation space; strong customer retention (e.g., UiPath 4x reduction in error rate).

## Competitive Advantages
- **Built for Physical AI**: Multimodal by design from the ground up – handles synchronized LiDAR, camera, radar, depth, force/torque, audio, and text in a single workflow.
- **Enterprise‑grade trust**: Zero data migration (data stays in customer cloud), API/SDK-first integration, label lineage and quality controls for production scale.
- **Proven at scale**: Used by leading autonomous vehicle, robotics, and enterprise AI teams; validated by public case studies (UiPath, Toyota, Skydio).

## Strategic Focus
- Deepen capabilities for world models, VLA (Vision-Language-Action) models, and robotic perception.
- Expand Data-as-a-Service offerings for physical AI data collection and annotation.
- Continue scaling the customer base across industrial, manufacturing, autonomous vehicles, and smart infrastructure verticals.

## Why Work Here
- **Culture**: “Strong in-person culture” with hybrid/office‑first approach (San Francisco, New York, London). 45+ nationalities represented. Core values: “Builds with care + urgency” and “High agency”.
- **Compensation & Benefits**: Equity in a hyper‑growth startup; 25 days paid time off; private health insurance (UK/US); team lunch twice a week; monthly team events and bi‑annual offsites; cycle to work scheme; home & tech scheme; annual learning & development stipend; payroll giving scheme.
- **Visa Policy**: Case-by-case visa sponsorship, confirmed early in the recruiter screen.
- **Interview Process**: Typically 4–5 stages: recruiter screen, hiring manager conversation, skills‑based interview or take-home, and final panel. Recruiter walks candidates through specifics upfront.
- **Early‑career programs**: Commercial Associate program (GTM launchpad) and early‑career engineering/ML roles – no formal internship program but hires ambitious early‑career candidates.

## Sources
1. [encord.com – Careers page](https://encord.com/careers)
2. [encord.com – Homepage](https://encord.com/)
3. [encord.com – About page](https://encord.com/about-us/)
4. [linkedin.com – Encord company page](https://es.linkedin.com/company/encord-team)
5. [ycombinator.com – Encord jobs](https://www.ycombinator.com/companies/encord/jobs)

## Other roles at Encord

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- [Forward Deployed Software Engineer](https://feeny.ai/job/forward-deployed-software-engineer-encord-new-york-4719sahv4rsn) — New York, NY
- [Lead Security Engineer](https://feeny.ai/job/lead-security-engineer-encord-london-fj2ez55e8f2a) — London, United Kingdom
- [Senior Product Marketing Manager](https://feeny.ai/job/senior-product-marketing-manager-encord-san-francisco-h8ysd3hz9xy0) — San Francisco, CA
- [Quant Developer in AI](https://feeny.ai/job/quant-developer-in-ai-encord-london-t65rb61mhqm0) — London, United Kingdom
- [Recruiting Engineer](https://feeny.ai/job/recruiting-engineer-encord-san-francisco-drbf5mvebenk) — San Francisco, CA
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