Product Operations Lead, Generative AI
About this role
This role is ideal for an individual who thrives at the intersection of product strategy, operational efficiency, and technical execution within a fast-moving Generative AI environment. The Product Operations Lead will be central to building and supporting the core processes and platforms that enable Scale AI's frontier AI model development. This position requires a unique capability to bridge the gap between technical teams and operational stakeholders, influencing the product roadmap based on the practical realities of running complex data projects. The successful candidate will act as the primary liaison between Operations and Product, focusing on surfacing operator needs and driving initiatives that improve the entire GenAI workflow.
The core function involves modernizing operational tooling, identifying opportunities for automation via agents, and redesigning workflows to enhance efficiency. This role exists to ensure that the operational side of Scale’s Generative AI business scales effectively alongside the development of frontier models. It is a position for someone who can translate operational friction into concrete engineering solutions and drive high-priority initiatives from conception through to organizational adoption.
Candidates who possess a strong product sense, an entrepreneurial mindset, and the ability to influence cross-functional partners without direct authority will find this role highly suitable. They will be responsible for ensuring that the processes built are practical and actually used by the team.
What you will do
- Own the connection between Operations and Product.
- Surface the needs of operators across the GenAI business to build the case for future product development.
- Shape the product roadmap by grounding decisions in the reality of running frontier data projects.
- Modernize operations tooling by identifying processes suitable for agent management.
- Partner with engineering to connect necessary tools and guide agent evaluations.
- Redesign workflows based on the implementation of new agent-driven processes.
- Drive high-priority, operations-intensive initiatives through the full lifecycle, including planning, execution, and organizational adoption.
- Collaborate with Product and Engineering leads to define success metrics and make data-driven decisions.
What you need
- Possess four or more years of experience in Product Operations, Technical Program Management, Strategy & Operations, or delivery operations within high-growth technology settings.
- Must have at least six months of experience delivering GenAI data pipelines.
- A strong product sense and the ability to prioritize the highest leverage initiatives is essential.
- Proven ability to operate as a cross-functional operator, understanding underlying customer needs and influencing Product, Engineering, and Ops partners effectively.
- Familiarity with the GenAI data business, including project staffing, execution, and identifying daily operator friction points.
- A technical background, evidenced by a degree in computer science or STEM, or the ability to perform independent data analytics using SQL or Python.
- Demonstrated ability to communicate complex technical concepts to non-technical stakeholders and translate operational friction into engineering solutions.
- An entrepreneurial mindset comfortable building 0-to-1 processes and driving workstreams from conception to execution.
Nice to have
- 6+ months of experience delivering GenAI data pipelines
Benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits
- A learning and development stipend
- Generous PTO
- Equity based compensation
Skills and tech stack
Questions candidates ask
What is the remote policy for this role?
The job is listed with locations in San Francisco, CA and New York, NY.
What is the compensation range for this position?
The base salary range for this full-time position in the listed locations is $180,800 — $226,000 USD.
What is the required technical background?
The role requires the ability to perform independent data analytics using SQL or Python, and a degree in computer science or STEM is ideal.
How is equity compensation handled?
Scale employees in eligible roles are granted equity based compensation, subject to Board of Director approval.