About us

We're solving AI's hardest problem: alignment.

Encord is the data layer for Physical AI and enterprise, serving as core infrastructure for 300+ of the world's leading AI teams, including Woven by Toyota, Hitachi, Skydio, AbbVie and Dyna, Walden and Agility Robotics. From autonomous vehicles and robotics to sports and healthcare, we're solving AI's hardest problem: turning complex, real-world data into production-ready intelligent systems.

We're a team of founders, scientists, quants, researchers, and former Olympians, who’ve helped build some of the most successful companies in Silicon Valley, and alumni of MIT, Stanford, UC Berkeley, Oxford, Cambridge, and Imperial. We’ve raised $110M from legendary technology investors, early backers of companies like Databricks, ElevenLabs and Vercel, and we’re growing at an extraordinary pace.

We're looking for exceptional people who want to help build a category-defining company, operating with high urgency and taking real ownership to help shape the future of AI.

The role

As Encord's first Engagement Manager in New York City, 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.

What you'll do

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

Who we're looking for

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

Experience requirements

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