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Ultralytics

Develops real-time computer vision AI models

Enterprise Customer Success Manager

Account ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Three to five years of customer-facing experience in technical customer success, solutions engineering, account management, or Software as a Service.
  • Experience managing enterprise or high-value mid-market customers through complex, multi-stakeholder deployments.
  • Technical credibility with machine learning engineers and technical buyers, including the ability to discuss architecture accurately.
  • Familiarity with developer-facing products, application programming interfaces, open source, machine learning and artificial intelligence, 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 without overselling.
  • Experience using customer relationship management and customer success tools such as Salesforce, HubSpot, or Gainsight.
  • Written and verbal communication, discovery, presentation, and executive relationship skills.
  • Comfort operating independently without a large implementation or onboarding team.
  • Fluency in English.

Responsibilities

  • Own customer relationships for 30โ€“40 enterprise and high-value mid-market accounts through onboarding, deployment, adoption, expansion, and renewal.
  • 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 the Account Executive partner.
  • Discuss model architecture, deployment patterns, application programming interfaces, and computer vision use cases with technical buyers.
  • Use Ultralytics documentation and YOLO guides to support customer outcomes.
  • Run quarterly business reviews, technical reviews, executive check-ins, and adoption conversations independently.
  • Track account health, risks, product usage, value realization, and renewal forecasts in the customer relationship management system.
  • Partner with Account Executives on joint account planning, commercial strategy, and expansion handoffs.
  • Partner with Solution Engineers on technical depth, deployment blockers, and solution alignment.
  • Share escalations, roadmap feedback, and customer insights with Product and Engineering.
  • Communicate across the organization as the conduit between customers and Ultralytics.
  • Support at-risk accounts with clear action plans, surface expansion signals, forecast renewals due within six months, own renewal negotiations and net dollar retention performance, and improve playbooks.

Desired Qualifications

  • Additional language skills and international experience are welcome.
  • Familiarity with Ultralytics YOLO, computer vision workflows, or edge deployment is strongly preferred.

About the Company

Ultralytics

Develops real-time computer vision AI models

Ultralytics builds computer vision AI tools for creating, training, and deploying models. Its HUB platform is a no-code web and mobile tool where users drag and drop datasets, train in the cloud, collaborate with teams, and export models with an inference API. Ultralytics YOLO offers fast real-time object detection, segmentation, classification, and tracking for deployment on edge devices and cloud. The company differentiates itself with a strong open-source base paired with an enterprise licensing model, paid HUB plans, and managed data labeling, aiming to make AI accessible and scalable for individuals and businesses.

Company size
51-200
Company stage
Series A
Total funding
$30M
Headquarters
London, United Kingdom
Founded
2014

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