Product Operations Lead, Generative AI
San Francisco · New York, NY · USD 180,800-226,000 · 4+ years experience · Posted Oct 2, 2026
At a glance
- Experience
- 4+ years experience
- Location
- San Francisco · New York, NY
- Salary
- USD 180,800-226,000 · Base salary
About Scale AI
- At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
- We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
- We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
- We comply with the United States Department of Labor's Pay Transparency provision.
- PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
About the role
- Scale's Generative AI business unit is at the front of the industry, fueling the development of frontier AI models.
- As a Product Operations Manager, you will build and support the critical processes and platforms that drive daily operations.
- This multi-faceted role requires a unique blend of product, operations, and analytics as we architect the future of the business.
Responsibilities
- Own the connection between Operations and Product by 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 by identifying which processes should be managed by agents, partnering with engineering to connect tools, hillclimbing the agents through evals, and redesigning 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 by providing operator context, early feedback on features, and connecting with the right stakeholders to build successful products.
- Leverage data analytics tools such as SQL, Python, and coding agents to quantify the impact of operational problems, inform prioritization, and measure whether what we ship actually works.
Requirements
- 4+ years of experience in Product Operations, Technical Program Management, Strategy & Operations, or delivery operations within high-growth tech environments.
- A strong product sense and ability to prioritize the highest leverage initiatives.
- A cross-functional operator with proven ability to understand a customer's underlying need, separate it from the stated request, and influence Product, Engineering, and Ops partners without direct authority.
- Familiarity with the GenAI data business regarding how projects are staffed, run, and delivered, and where operators feel friction day to day.
- Strong technical background, with a degree in computer science or STEM being ideal, and at minimum the 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.
- An entrepreneurial and high-ownership mindset that is comfortable building 0-to-1 processes, handling ambiguity, and driving workstreams from conception to execution.
- Bias for lightweight structure and doing, building well-designed processes people actually use and knowing when not to add more.
Preferred qualifications
- The ideal candidate will have 6+ months of experience delivering GenAI data pipelines.
- A degree in computer science or STEM.
Benefits
- base salary
- equity
- comprehensive health, dental and vision coverage
- retirement benefits
- learning and development stipend
- generous PTO
- commuter stipend
Skills
- SQL
- Python
- Coding Agents
- GenAI Data Pipelines
