Product Operations Lead, Generative AI
About the role
Product Operations Lead responsible for building and supporting processes and platforms that drive daily operations in Scale's Generative AI business unit, translating complex requirements between technical teams and operational stakeholders, and owning the ops <> product connection to shape the product roadmap.
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. Identify which processes should be managed by agents, partner with engineering to connect tools, hillclimb the agents through evals, and redesign the workflows around them
- Drive our highest-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 how initiatives are performing, and make data-driven decisions
- Be the voice of the operator across Scale’s Product and Engineering teams. Provide operator context, early feedback on features, and connect with the right stakeholders to build successful products
- Leverage data analytics tools (SQL, Python, coding agents) to quantify the impact of operational problems, inform prioritization, and measure whether what we ship actually works
Qualifications
- 4+ years of experience in Product Operations, Technical Program Management, Strategy & Operations, or delivery operations within high-growth tech environments
- 6+ months of experience delivering GenAI data pipelines
- Strong product sense and ability to prioritize high-leverage initiatives
- Cross-functional operator with ability to influence Product, Engineering, and Ops partners without direct authority
- Familiarity with the GenAI data business and how projects are staffed, run, and delivered
- Strong technical background (degree in CS or STEM ideal; 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, high-ownership mindset; comfortable building 0-to-1 processes, handling ambiguity, driving workstreams from conception to execution
- Bias for lightweight structure and practical processes that people actually use
Skills
Benefits
- comprehensive health, dental and vision coverage
- retirement benefits
- learning and development stipend
- generous PTO
- potential commuter stipend
About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
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