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Protege

Protege is an AI training platform committed to enabling the ethical sourcing of hard-to-find, multimodal, and real-world AI training data at scale. The company positions itself as

Strategic Account Manager

Location

United States

Posted

108 days ago

Salary

0

No structured requirement data.

Job Description

Strategic Account Manager

Protege

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a Strategic Account Manager to own and grow relationships with a select group of high-impact AI companies and enterprise AI teams. This is not traditional SaaS selling. Our clients build and fine-tune foundation models, deploying production AI systems, and require high-quality, domain-specific training data to power them. You will operate at the intersection of AI research, data operations, and commercial strategy — acting as a trusted advisor to technical buyers while driving long-term revenue expansion. This role is high-autonomy, high-visibility, and revenue-critical. What You’ll Do - Own & Grow Strategic Accounts - Manage a portfolio of key AI-native and enterprise AI accounts - Develop multi-threaded relationships across research, ML, product, and procurement teams - Build account plans that map technical needs to scalable data solutions - Drive expansion through new use cases, domains, and geographies - Lead Complex, Technical Sales Cycles - Navigate consultative, solution-based deals (often custom scopes) - Translate model requirements (fine-tuning, RLHF, synthetic data, evals) into commercial proposals - Partner with delivery and ops teams to scope programs accurately - Manage pricing strategy, contract negotiations, and renewals - Act as the Voice of the Customer - Surface client feedback on quality, latency, compliance, and scale - Collaborate cross-functionally with product, ops, and leadership - Identify whitespace opportunities in emerging model categories - Drive Revenue & Forecasting Discipline - Own quota across expansion and renewals - Maintain clean pipeline hygiene - Provide accurate forecasting on complex, usage-based revenue streams What Success Looks Like - Deep, trusted relationships with senior AI researchers and data leaders - High retention and net revenue expansion within accounts - Strong multi-year contracts with growing scope - Ability to identify and close new model programs early Qualifications - 5–10+ years in strategic sales or account management - Experience managing $1M+ ARR accounts or equivalent enterprise spend - Comfortable navigating procurement and enterprise security processes Requirements - Experience selling into AI/ML teams, data infrastructure, or technical buyers - Familiarity with concepts like: - Foundation models - RLHF / RLAIF - Model fine-tuning - Synthetic data - Human-in-the-loop systems - Able to speak credibly with ML engineers and research teams - Strong account planning methodology - Experience with complex scoping and pricing - Comfortable in ambiguous, fast-moving environments Benefits - This is not transactional SaaS selling. - Deals are custom, high-context, and deeply tied to model performance. - Your impact directly influences how frontier AI systems are trained and deployed.

Job Requirements

  • 5–10+ years in strategic sales or account management
  • Experience managing $1M+ ARR accounts or equivalent enterprise spend
  • Comfortable navigating procurement and enterprise security processes
  • Experience selling into AI/ML teams, data infrastructure, or technical buyers
  • Familiarity with concepts like: Foundation models RLHF / RLAIF Model fine-tuning Synthetic data Human-in-the-loop systems
  • Foundation models
  • RLHF / RLAIF
  • Model fine-tuning
  • Synthetic data
  • Human-in-the-loop systems
  • Able to speak credibly with ML engineers and research teams
  • Strong account planning methodology
  • Experience with complex scoping and pricing
  • Comfortable in ambiguous, fast-moving environments

Benefits

  • This is not transactional SaaS selling.
  • Deals are custom, high-context, and deeply tied to model performance.
  • Your impact directly influences how frontier AI systems are trained and deployed.

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