---
title: 'Account Manager, Physical AI at Encord'
canonical: 'https://feeny.ai/job/account-manager-physical-ai-encord-new-york-6wtcw9fjb00e'
type: 'job'
last_seen: '2026-09-12'
---

# Account Manager, Physical AI at Encord

- **Company:** Encord
- **Location:** New York, NY
- **Compensation:** $220k–$320k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-28
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/encord/ca841c12-38c9-4558-aa59-b60ef55a8948/application

**Skills:** HubSpot, Salesforce, CRM tools, Account planning, QBR delivery, Pipeline forecasting

> As the founding Account Manager for Encord in NYC, you will own and grow a portfolio of strategic AI and data infrastructure customers. You will drive adoption, expansion, and revenue growth while helping shape the post-sales function in the East Coast market.

## Job description

## About us

Encord is the universal data layer for AI that helps 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 and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.

## The role

As Encord's first Account 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 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

## Why Encord

- Competitive salary, commission, and meaningful equity in a high-growth start-up
- Clear, accelerated growth opportunities as the company scales rapidly
- Strong in-person culture: 4 days/week
- Flexible PTO to fully recharge
- Annual learning & development budget
- Comprehensive health, dental, and vision coverage
- Frequent travel opportunities across the U.S., London, and Europe
- Bi-annual company 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

- [Operations Associate](https://feeny.ai/job/operations-associate-encord-london-nzq5vgvwmpvn) — London, United Kingdom
- [Sales Director](https://feeny.ai/job/sales-director-encord-new-york-fbfzamax5s0z) — New York, NY
- [Financial Analyst](https://feeny.ai/job/financial-analyst-encord-london-sn0f04xmtywv) — London, United Kingdom
- [Learning & Development Specialist](https://feeny.ai/job/learning-development-specialist-encord-london-3jnes7dddr82) — London, United Kingdom
- [Technical Program Manager](https://feeny.ai/job/technical-program-manager-encord-london-szj48frfp5g0) — London, United Kingdom
- [Quality Systems Lead](https://feeny.ai/job/quality-systems-lead-encord-london-3ryf0bcpedap) — London, United Kingdom
- [Learning Design Lead](https://feeny.ai/job/learning-design-lead-encord-san-francisco-6dss6rc19q72) — San Francisco, CA
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