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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 our daily operations. This multi-faceted role requires a unique blend of product, operations, and analytics as we architect the future of the business.
Success in this role requires the ability to translate complex requirements between technical teams and operational stakeholders, and to earn the trust of both to influence the direction of Scale’s products.
You will own the ops <> product connection and lead our highest priority initiatives.
You will:
- 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
Ideally, you'd have:
- 4+ years of experience in Product Operations, Technical Program Management, Strategy & Operations, or delivery operations within high-growth tech environments; the ideal candidate will have 6+ months of experience delivering GenAI data pipelines
- A strong product sense and ability to prioritize the highest leverage initiatives
- A cross-functional operator: 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: how projects are staffed, run, and delivered, and where operators feel friction day to day
- Strong technical background (a degree in computer science or STEM is ideal, and at minimum, the role requires 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: you are comfortable building 0-to-1 processes, handling ambiguity, and driving workstreams from conception to execution
- Bias for lightweight structure and doing: you build well designed processes people actually use and know when not to add more
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
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 [email protected]. 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.
Skills Required
- 4+ years of experience in Product Operations, Technical Program Management, Strategy and Operations, or delivery operations within high-growth technology environments
- Ability to perform independent data analytics using SQL or Python
- Strong product sense and ability to prioritize high-leverage initiatives
- Proven ability to influence Product, Engineering, and Operations partners without direct authority
- Familiarity with the Generative AI data business, including project staffing, execution, delivery, and operational friction
- Ability to communicate complex technical concepts to nontechnical stakeholders and translate operational problems into engineering solutions
- Entrepreneurial, high-ownership mindset with experience building processes from conception through execution
- Ability to operate effectively in ambiguous environments and drive workstreams end to end
- Ability to design lightweight processes that people adopt and use effectively
- 6+ months of experience delivering Generative AI data pipelines
- Degree in computer science or another STEM field
Scale AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.
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Healthcare Strength — Company materials and third‑party pages describe comprehensive medical, dental, and vision coverage along with mental‑health services and an EAP. Health insurance is portrayed as strong, with options like HSA/FSA and indications of high premium coverage.
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Leave & Time Off Breadth — Descriptions highlight generous PTO, paid holidays and sick time, bereavement, volunteer time, and role‑dependent flexibility or remote options. This breadth is positioned as part of a supportive time‑off approach, with specifics varying by location.
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Equity Value & Accessibility — Full‑time offers commonly include equity and an ESPP, which can meaningfully lift total compensation, especially in engineering and senior roles. Job postings and compensation snapshots consistently reference base‑plus‑equity packages aligned with competitive AI market pay.
Scale AI Insights
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
