Product Operations Lead, Generative AI

Scale's Generative AI business unit is at the forefront of the industry, fueling the development of frontier AI models. As a Product Operations Manager, you will build and support critical processes and platforms that drive daily operations.

Responsibilities:

• Own the connection between Operations and Product, surfacing the needs of operators across the GenAI business, building the case for what should be built next, and shaping a product roadmap grounded in the reality of running frontier data projects
• Modernize operations tooling with agents, identifying which processes should be managed by agents, partnering with engineering to connect tools, and redesigning workflows around them
• Drive high-priority, operations-intensive initiatives end-to-end, from planning through execution and adoption across the organization
• Partner with Product and Engineering leads to define success metrics, track initiative performance, and make data-driven decisions
• Be the voice of the operator across Scale's Product and Engineering teams, providing operator context, early feedback on features, and connecting with stakeholders to build successful products
• Leverage data analytics tools (SQL, Python, coding agents) to quantify the impact of operational problems, inform prioritization, and measure the effectiveness of shipped solutions

Requirements:

• 4+ years of experience in Product Operations, Technical Program Management, Strategy & Operations, or delivery operations within high-growth tech environments
• Strong product sense and ability to prioritize high-leverage initiatives
• Cross-functional operator with proven ability to understand customer needs, separate them from stated requests, and influence Product, Engineering, and Ops partners without direct authority
• Familiarity with the GenAI data business, including project staffing, delivery, and day-to-day operations
• Strong technical background, with a degree in computer science or STEM, and ability to perform independent data analytics using SQL or Python
• Proven ability to communicate complex technical concepts to non-technical stakeholders and translate operational friction into engineering solutions
• Entrepreneurial and high-ownership mindset, comfortable building 0-to-1 processes, handling ambiguity, and driving workstreams from conception to execution

Benefits:

• Comprehensive health, dental, and vision coverage
• Retirement benefits
• Learning and development stipend
• Generous PTO
• Commuter stipend (may be eligible)

Compensation:

• Base salary range: $180,800 - $226,000 USD