Frontier Data Strategist

Join Scale's Generative AI team as a Senior Frontier Data Strategist. In this highly cross-functional role, you'll shape the data strategy for leading AI labs, design human-data programs, and influence Scale's product roadmap. You'll own relationships with senior research stakeholders, direct the cross-functional team, and mentor other Frontier Data Strategists. This position offers comprehensive health coverage, personal and career growth opportunities, and a supportive community.

Responsibilities

• Establish and maintain relationships with senior research stakeholders at frontier labs, becoming a strategic thought partner on their post-training, evaluation, and agent roadmaps.
• Set the data strategy for assigned accounts, anticipating needs across research areas, spotting opportunities, and building a multi-program plan for how Scale can help.
• Direct the cross-functional team designing Scale's most complex and novel human-data programs, shaping Scale's product roadmap by representing customers in planning with AI Product Managers and ML Research.
• Deep fluency in the LLM training lifecycle, especially post-training: SFT, preference data, reward modeling, RL environments, evaluations, agentic training, etc

Requirements

• A track record of owning relationships with senior technical stakeholders, and of influencing their direction through substance
• Experience influencing a product or research roadmap without direct authority
• The ability to read a research paper and form an opinion on what data would improve a given capability, and to defend that opinion to researchers
• A degree in CS, engineering, math, physics, or another quantitative field
• Evidence of shipping ambiguous, high-stakes technical programs from idea to delivery
• 5+ years in a technical AI/ML role, such as ML engineering, research, applied science, technical product management, or post-training data work at a lab or data provider
• Hands-on experience designing training data, evals, or RL environments
• A background in founding or leading at an early-stage startup, or in pre-sales, solutions engineering, or technical consulting
• A graduate degree (PhD, MS) or published research in ML or a related field

Preferred

• Experience at a frontier lab, model developer, or AI data company
• Experience mentoring or leading technical teammates, formally or informally

Pay

USD 160,800 - 241,000