--- title: 'GTM Recruiter Associate at Encord' canonical: 'https://feeny.ai/job/gtm-recruiter-associate-encord-san-francisco-e5w4f4w592aq' type: 'job' last_seen: '2026-10-17' --- # GTM Recruiter Associate 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/22e918dd-5bb5-4675-b89f-3ed964fa5784 ## Job description ## About Encord 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. ## The role 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. ## What you'll do - 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 Who we're looking for - 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 ## Experience - 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 ## Why Encord - 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 ## 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 - [Recruiting Engineer](https://feeny.ai/job/recruiting-engineer-encord-san-francisco-drbf5mvebenk) — 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