Account Manager, Encord
+ Commission & Equity
3-5 days a week in office
Data platform for AI training
Posted today
Data platform for AI training
201-500 employees
Posted today
+ Commission & Equity
3-5 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
- Excited by the founding opportunity — you want to help shape the NYC office, not inherit a finished motion
- Ability to engage confidently with technical stakeholders (ML engineers, data leads, CTOs)
- Strong relationship builder with a genuine interest in solving customer problems
- Comfortable in a fast-moving, high-growth start-up environment
- Experience with HubSpot, Salesforce, or similar CRM tools
- Curious, driven, and excited by the potential of AI and data infrastructure
- 2–5 years of experience in engagement management, account management, customer success, or a post-sales commercial role within B2B SaaS or technology
- Proven track record of owning and growing a book of business, with demonstrable success hitting or exceeding net revenue retention or expansion targets
- Experience managing mid-to-large ACV accounts ($50K–$250K+) across multi-stakeholder organisations
- Confidence engaging with technical buyers — including ML engineers, data scientists, and engineering leads — and translating their needs into commercial outcomes
- Familiarity with structured account planning, QBR delivery, and pipeline forecasting using CRM tools such as HubSpot or Salesforce
- Experience working in a high-growth start-up or scale-up environment preferred
- Exposure to developer tools, data infrastructure, or ML/AI platforms is a strong advantage
What the job involves
- As an Account Manager at Encord, you won't just own a book of business — you'll help define what post-sales excellence looks like on the East Coast
- You'll own and grow a portfolio of strategic customers, with a focus on expanding usage, driving adoption, and ensuring customers get maximum value from our platform — from autonomous vehicle companies to medical imaging teams and next-gen robotics manufacturers
- You'll work directly with technical and commercial stakeholders, understanding their ML workflows and identifying opportunities for growth
- As one of the founding members of the NYC team, you'll have a real hand in shaping how we build the customer relationship function in this market
- This is a great fit for someone who loves building long-term relationships, enjoys technical conversations, and wants to help shape the future of AI infrastructure — from the ground up
- Own and grow a portfolio of North American customer accounts with a focus on expansion and long-term value
- Build trusted relationships with ML, data, engineering, operations, and executive stakeholders
- Understand customers' technical roadmaps to proactively identify expansion opportunities
- Drive upsells, cross-sells, and multi-team rollouts across existing accounts
- Partner with Customer Success, Product, and Engineering to deliver customer outcomes
- Communicate customer insights and feature requests internally — your proximity to customers makes you a critical voice in the product roadmap
- Lead account planning, run QBRs, and develop growth strategies for your accounts
- Maintain accurate pipeline and revenue forecasting in HubSpot
- Help build the post-sales and expansion playbook for North America in a fast-growing GTM organisation
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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