--- title: 'Recruiting Engineer at Encord' canonical: 'https://feeny.ai/job/recruiting-engineer-encord-san-francisco-drbf5mvebenk' type: 'job' last_seen: '2026-10-17' --- # Recruiting Engineer at Encord - **Company:** Encord - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-30 - **Last confirmed live:** 2026-10-17 - **Apply:** https://jobs.ashbyhq.com/encord/7ddfa82f-a08d-4900-86ff-03f3dfe3200d ## Job description ## The role 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. ## What you'll do - 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 ## Why this role 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. ## 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 - [Research Engineer](https://feeny.ai/job/research-engineer-encord-london-qt7497ayjd63) — London, United Kingdom - [Forward Deployed Software Engineer](https://feeny.ai/job/forward-deployed-software-engineer-encord-new-york-4719sahv4rsn) — New York, NY - [Product Engineer, DaaS](https://feeny.ai/job/product-engineer-daas-encord-san-francisco-f6gesst71key) — San Francisco, CA - [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 - [GTM Recruiter Associate](https://feeny.ai/job/gtm-recruiter-associate-encord-san-francisco-e5w4f4w592aq) — San Francisco, CA - [Product Lead](https://feeny.ai/job/product-lead-encord-london-xf3epm3b93c1) — London, United Kingdom - [Senior Engineer - High Performance Data Systems](https://feeny.ai/job/senior-engineer-high-performance-data-systems-encord-london-pd26ktn3z19n) — London, United Kingdom - [DevOps Engineer](https://feeny.ai/job/devops-engineer-encord-london-kk24f4kzakj6) — London, United Kingdom