GTM Recruiter, Encord
$140-190k
+ Quarterly commission, and equity
4-5 days a week in office
Data platform for AI training
Open for applications
Data platform for AI training
201-500 employees
Open for applications
$140-190k
+ Quarterly commission, and equity
4-5 days a week in office
201-500 employees
Company mission
To solve AI alignment by tackling the real bottleneck: data quality.
Role
Who you are
- 2-4+ years of full-cycle recruiting experience
- Track record of delivering hiring outcomes in a fast-paced environment
- Strong outbound sourcing across LinkedIn Recruiter and Juicebox
- Experience managing multiple searches at once
- Strong command of recruiting metrics and using funnel data to improve hiring velocity
- Great taste
- Move fast
- Business-minded
- Relationship all-star
- Resourceful
- High integrity
- Accountable
- No drama
- Adaptable
What the job involves
- We're looking for a GTM Recruiter to assist hiring across the commercial organization
- This is a high-ownership role for someone who operates with speed, urgency, and creativity
- You'll partner directly with leadership and our Head of Talent to turn business priorities into hiring plans, build pipelines for roles without an established playbook, and drive searches forward without waiting to be told what to do next
- You'll be expected to know where every search stands, identify risk early, push for decisions, and increase hiring velocity without lowering the talent bar
- Own GTM searches end-to-end, from kickoff and market mapping through offer and close
- Partner with leaders to turn business priorities into clear profiles and search strategies
- Create momentum: identify bottlenecks, surface risk, push for decisions, and keep searches moving
- Build exceptional pipelines through targeted outbound, referrals, networks, and creative sourcing
- Develop deep fluency in what separates exceptional GTM talent from average
- Run high-signal screens and give hiring managers clear, decisive recommendations
- Use funnel data to diagnose problems and continuously improve hiring velocity
- Deliver a high-quality candidate experience while operating at startup speed
Our take
It has become increasingly clear that the next generation of AI applications will be driven by data-centric approaches concentrated around training data creation, management, and evaluation. Crucial within this process is the annotation or 'labelling' of data. Traditionally, such annotation has been left to human workers, which has historically made this part of the process of AI development expensive, slow, and difficult to scale.
Encord offers a computer vision annotation platform that automates a number of manual labelling tasks. Its suite of tools is designed for collaboration across roles and teams, from domain-expert annotators to project managers and machine learning engineers. This allows companies to iterate 10x faster and develop and deploy high-performing models in less time whilst saving on annotation costs.
Demand is clearly there: since its launch in 2020, Encord has facilitated the annotation of more than 250 million frames and images and served customers in verticals such as medical imaging, smart cities, sports analytics and satellite imaging. It was awarded $44.3 million in Series C funding in 2026, which will help it scale and meet demand for its AI-native data infrastructure. Indeed, usage is scaling rapidly, with the number of labels generated on the platform growing ~70% month-over-month.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Feb 2026
$60m
SERIES C
Aug 2024
$30m
SERIES B
Total funding: $107.2m
Company benefits
- Competitive salary, commission, and meaningful equity in a high-growth startup
- Strong in-person culture: 3–5 days/week in our London, SF, and NYC offices
- Flexible PTO to fully recharge
- Annual learning & development budget
- Frequent travel opportunities across the U.S., London, and Europe
- Bi-annual company offsites, twice-weekly team lunches, and monthly socials
- Company lunches twice a week
- Clear, accelerated growth opportunities as the company scales rapidly
- Comprehensive health, dental, and vision coverage
Company HQ
North Beach, San Francisco
Articles
Leadership
Eric Landau
(Co-Founder & Co-CEO)With MScs from Harvard and Stanford, Eric spent 8+ years as a senior quant at DRW deploying ML at scale—before co-founding Encord to make data the core of AI development.
Ulrik Stig Hansen
(Co-Founder & Co-CEO)Ulrik spent 3+ years in Sales & Trading at J.P. Morgan and holds science master’s degrees from UCL and Imperial—before co-founding Encord to transform how AI handles data.
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