Role Summary
Scale is building the infrastructure layer for institutional intelligence — the compounding asset that makes the world's most consequential organizations more capable over time. The Chief of Staff to the VP of Product sits at the center of that work.
This is not a chief of staff role in the traditional sense. This person is not a scheduler, a note-taker, or a communications coordinator. They are an extension of the VP of Product, absorbing context across every workstream, making real prioritization calls, and operating at a level of organized precision that makes the rest of the function run faster.
The right person for this role wants to grow into product leadership and understands that the fastest path there is to operate at close range with someone doing the job. They will be in every room, on every decision, and responsible for ensuring that nothing falls through the cracks, including the principal.
What You'll Do- Prepare the VP for every significant meeting, external or internal: customer briefings, executive reviews, board-adjacent discussions with the right level of context and the right framing.
- Represent the VP in internal workstreams where her presence isn't required but her perspective is. This means you actually have the perspective, not just her notes.
- Drive follow-through on decisions made in meetings: own the action items, chase closures, and surface blockers before they become problems.
- Build and maintain the operational infrastructure that keeps the product org coordinated. Rhythms, comms, templates, and shared context without it becoming process for its own sake.
- Engage directly with engineering leads, PMs, and go-to-market partners with enough technical and product fluency to move things forward, not just relay information.
- Move people without authority. You will regularly need engineers, PMs, GTM leads, and customers to do things that aren't in their immediate interest to prioritize. You get there by being trusted, well-framed, and well-timed, not by invoking the principal's name.
- 10 years of experience in product management, technical program management, strategy, or a role with real operational ownership - not coordination.
- Demonstrated record of managing complexity: multiple parallel workstreams, competing stakeholder demands, and ambiguous ownership and keeping all of it moving without dropping threads.
- Extreme organizational precision. Their systems are legible to others, not just themselves.
- Enough technical fluency to hold a real conversation with a platform engineer. Not deep coding, but genuine comprehension of how systems work: APIs, infrastructure, deployment, architecture at a conceptual level and curiosity to learn.
- The judgment to act on behalf of the principal.
- Strong, precise written communication. First drafts should be clean. Recaps, briefs, and async updates should require minimal editing.
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, Cisco, DLA Piper, 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
- 10 years of experience in product management or related fields
- Demonstrated record managing complexity and parallel workstreams
- Extreme organizational precision
- Technical fluency to comprehend systems and architecture
- Strong and precise written communication skills
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 — Healthcare coverage is described as comprehensive across medical, dental, and vision, with flexibility to choose plans that fit individual or family needs. A monthly wellness stipend further supports physical and mental wellbeing expenses.
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Equity Value & Accessibility — Equity-based compensation is included in eligible packages, positioning ownership as a meaningful component of total rewards for many full-time roles. An employee stock purchase plan also provides an additional pathway to participate in potential upside.
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Leave & Time Off Breadth — Paid time off is positioned as generous with a flexible policy intended to support recharging and burnout prevention. Paid holidays and paid sick days are also part of the time-off offering.
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.
