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Enterprise Customer Success Manager

Job in New York, New York County, New York, 10261, USA
Listing for: Ultralytics
Full Time position
Listed on 2026-08-29
Job specializations:
  • Sales
    Customer Success Management, Account Manager
Salary/Wage Range or Industry Benchmark: 100000 - 180000 USD Yearly USD 100000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: New York

About Ultralytics

At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team. Join the team powering the future of vision AI AIHello, hola, 你好, こんにちは, नमस्ते, hallo, bonjour!

Thanks for stopping by — we know your time is valuable, so here's what makes Ultralytics special.

Who we are:

At Ultralytics, we're on a mission to simplify AI for everyone. As the creators of the world's leading Ultralytics YOLO models, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications.

Following our $30M Series A round, we're scaling our enterprise function from our NYC hub, alongside teams in London, Madrid, and Shenzhen. This is an opportunity to join a fast-scaling, high-performance team redefining the future of vision AI — where ambition meets impact, and ideas become reality. We move fast. We build boldly. We execute with purpose. And we do it together.

About

the role

As Enterprise Customer Success Manager, you'll own relationships with Ultralytics' most strategic customers and help them realize measurable value from YOLO in production. You'll manage 30–40 enterprise and high-value mid-market accounts across onboarding, deployment, adoption, expansion, and renewal. The CS function, playbooks, and operating rhythm are already established. Your book is yours. You'll work closely with Account Executives, Solution Engineers, Product, and Engineering to guide customers through technically complex computer vision deployments and drive net dollar retention.

What

you'll do
  • Own the full customer lifecycle from contract signature through renewal and expansion.
  • Lead onboarding with Solution Engineers and drive customers toward their first production deployment.
  • Build account plans, stakeholder maps, success plans, and mutual action plans for strategic customers.
  • Drive net dollar retention by leading renewal conversations and identifying expansion opportunities.
  • Surface new use cases, business units, geographies, and deployment opportunities with your AE partner.
  • Discuss model architecture, deployment patterns, APIs, and computer vision use cases credibly with technical buyers.
  • Use Ultralytics documentation and YOLO guides to support customer outcomes.
  • Run QBRs, technical reviews, executive check-ins, and adoption conversations independently.
  • Track account health, risks, product usage, value realization, and renewal forecasts in the CRM.
  • Partner with AEs on joint account planning, commercial strategy, and expansion handoffs.
  • Partner with SEs on technical depth, deployment blockers, and solution alignment.
  • Share escalations, roadmap feedback, and customer insights with Product and Engineering.
  • Communicate clearly across the organization as the conduit between customers and Ultralytics.
What success looks like

60 days:
Fully onboarded across your book, with every account health-scored and at‑risk customers supported by a clear action plan.

90 days:
Running QBRs and technical reviews independently, surfacing expansion signals, and forecasting renewals due within six months.

180 days:
Owning your book end‑to‑end, including renewal negotiations, NDR performance, leading indicators, and playbook improvements.

Skills and experience
  • 3–5 years of customer-facing experience in technical customer success, solutions engineering, account management, or SaaS.
  • Experience managing enterprise or high-value mid-market customers through complex, multi-stakeholder deployments.
  • Technical credibility with ML engineers and technical buyers; you can discuss architecture without bluffing.
  • Familiarity with developer-facing products, APIs, open source, ML/AI, cloud platforms, or computer vision.
  • Ability to translate technical value into measurable business outcomes for budget owners.
  • Strong commercial judgment and confidence leading renewal, expansion, and value conversations.
  • Proven ability to build trust with skeptical customers…
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