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Strategic Account Manager

Protege· GTM
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RemoteFull-timePosted 2mo ago

About the role

Strategic Account Manager accountable for high-value, multi-year relationships with foundation labs and frontier AI builders, driving long-term GMV and aligning Protege offerings with researchers, data scientists, and executive sponsors.

Responsibilities

  • Own a portfolio of 2–4 foundation lab or frontier AI accounts end-to-end — from relationship development and deal structuring through contracting, delivery handoff, and expansion.
  • Map the full account landscape: identify key researchers, data science leads, procurement stakeholders, and executive sponsors. Understand who influences decisions and who makes them.
  • Lead business-level discovery across departments and functions to identify projects and opportunities for Protege to broaden and deepen our penetration of each account
  • Coordinate the teams who interact technically with our customer research teams - You’ll work closely with our Solutions and DataLab teams to do so
  • Build and maintain a living account plan for each strategic account, including deal chronology, relationship health, 12-month GMV potential, open opportunities, and known risks.
  • Orchestrate internal resources — DataLab, Solutions, Partnerships, Legal, Customer Success Manager (CSM) — to deliver on commitments and protect relationship equity.
  • Drive multi-year, multi-modal deal strategy: structure agreements that deepen account relationships over time rather than optimizing for individual transaction size.
  • Surface patterns across your accounts that inform Protege's data supply strategy, product roadmap, and go-to-market
  • Maintain rigorous deal hygiene: accurate forecasting, clean Deal Desk submissions, documented handoffs to CSM and Product Success at close.
  • Represent Protege at field events, research dinners, and conferences where foundation lab relationships are built and deepened.

Qualifications

  • Proven track record managing and growing large, complex enterprise accounts — preferably with foundation labs, hyperscalers, or frontier AI organizations.
  • Closed multi-million dollar deals and know what it takes to sustain them.
  • Technical fluency sufficient to earn the trust of AI researchers and data scientists (not required to be an ML engineer).
  • Ability to build relationships at multiple levels of an organization and advance deals through complex, multi-stakeholder procurement processes.
  • Strong deal architecture skills: experience with multi-year licensing, data access frameworks, or platform agreements a plus.
  • Operational discipline: clean pipeline, accurate forecasting, and successful handoffs to delivery teams.
  • High emotional intelligence and judgment in relationship-sensitive situations.
  • Comfort with ambiguity and fast-moving deal environments; ability to stay organized under changing scope and timelines.

Skills

Required:Enterprise account managementRelationship management

Benefits

  • Not specified in the description.
Last updated Aug 6, 2026. Interested? Apply on the company site.

About Protege

The data layer for AI training

Protege is the platform for AI Training Data. Protege works with data holders and model builders to empower them to share training data for AI model development.

AI training datadata sharinghealthcaremediamotion-capturedatasets
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