Jobs / United States / Scale AI INC
Product Operations Lead, Generative AI
Scale AI INC · 🇺🇸 San Francisco, CA; New York, NY
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 74 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Scale AI INC paid sponsored hires in similar roles4 certified filings for “Product Manager, Enterprise” (General and Operations Managers) in CA: $175k–$400k, median $188k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Scale AI INC
The US Department of Labor certified 74 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Scale AI INC →
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 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 spec