The opportunity
Frontier AI labs decide what direction their models need to take before the actual training starts. As a Frontier Data Strategist on Scale's Generative AI team, you'll be a trusted voice in those decisions.
What you'll do
Own relationships with senior research stakeholders at your assigned frontier: labs, such as research leads, heads of post-training, and technical leadership, and become a strategic thought partner on their post-training, evaluation, and agent roadmaps.
Set the data strategy for your accounts: anticipate needs across research areas, spot where the biggest opportunities are, and build a multi-program plan for how Scale can help.
Direct the cross-functional team designing Scale's most complex and novel: human-data programs, including work that has no precedent at Scale.
Shape Scale's product roadmap by representing your customers in planning with: AI Product Managers and ML Research, and by resolving tradeoffs between customer needs and what Scale can build.
Bring insights from the frontier (research directions, emerging data needs,: capability gaps) back to Scale's leadership and technical teams to guide strategy and investment decisions.
Own the pipeline of new opportunities for your accounts. Lead scoping,: forecasting, and pricing with Delivery, Growth Operations, and Finance, and see the work through to signed programs and a clean handoff.
What they're looking for
- Mentor Frontier Data Strategists, set the bar for program design and customer: engagement, and help build the playbooks the team runs on.
- + 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.
- Deep fluency in the LLM training lifecycle, especially post-training: SFT, preference data, reward modeling, RL environments, evaluations, agentic training, etc.
- A track record of owning relationships with senior technical stakeholders,: and of influencing their direction through substance.
