Jobs / United States / Databricks

Lead Learning Product Manager

Databricks · 🇺🇸 United States

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 445 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 78 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 Databricks paid sponsored hires in similar roles3 certified filings for “Sr. Staff Product Operations Manager” (Operations Research Analysts) in CA: $104k–$187k, median $126k. Most were filed at wage level II (33%) — 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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445 H-1B filings certified since Oct 2025

The US Department of Labor certified 445 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 78 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 Databricks →

About the role

CSQ227R10 Role overview We are looking for a Lead Learning Product Manager to own the platform learning experience for Databricks customers, partners, and internal practitioners. You will sit at the intersection of product, UX, and learning science, building the systems that help data and AI teams build skills needed to become successful and confident users of the Databricks platform. You’ll define how users discover, practice, and demonstrate skills across in-product journeys, training, and AI-assisted guidance. You will work closely with engineering, design, curriculum, and go‑to‑market teams to translate pedagogical goals into scalable platform capabilities, from adaptive learning flows and assessments to analytics that prove real skill development. Key responsibilities • Define and drive the product vision, strategy, and roadmap for AI‑first learning systems on the Databricks platform, anchored on contextual, in the flow of work enablement and a unified skills infrastructure. • Design experiences that surface targeted knowledge precisely when users need it, triggered by real work context (e.g., usage patterns, errors, task types), reducing interruptions and friction. • Translate learning and pedagogical goals into platform capabilities such as learner models, skills graphs, progress tracking, adaptive learning paths, assessments, and feedback loops. • Partner with UX and content design to create intuitive, embedded guidance and learning patterns that feel like part of the workflow, not separate training destinations. • Collaborate with platform and infrastructure teams to ensure learning and skills systems are reliable, secure, performant, and able to serve global enterprise customers at scale. • Define and evolve predictive signals and analytics that give proactive visibility into emerging skills and capability gaps, enabling action before they impact business outcomes. • Build features and tooling that allow enablement teams to deliver at-scale personalization - leveraging AI and automation. • Provide employees and leaders with transparent views into skills, enablement activities, and progress toward role and organizational goals through dashboards, reports, and in‑product insights. • Work closely with education, documentation, and curriculum teams to empower them with self‑service configuration and experimentation tools for new learning experiences. • Engage directly with customers, partners, and internal field teams to deeply understand learning needs across roles and transform these into clear product requirements. What success looks like in the first 12 months • A cohesive, AI‑first skills platform and experience is live, guiding users from first login with contextual, just‑in‑time experiences triggered by work context. • Clear, trusted metrics exist for learning efficacy and skill attainment and used to drive roadmap decisions. • Predictive insights into emerging capability and skills gaps are available to leaders, enabling proactive interventions before they impact business performance. • Enablement teams use platform tools you defined to deliver personalized learning and guidance at scale without needing to grow headcount proportionally. • Learning and skills capabilities are integrated with broader Databricks platform features and measurably improve adoption and expansion. Qualifications • 5–8+ years of experience in product management, UX-focused product roles, or learning/education platforms, ideally within B2B SaaS, developer tools, or data/AI products. • Demonstrated experience owning a product area end to end: defining strategy and roadmap, writing PRDs, collaborating with engineering and design, and shipping impactful user-facing features. • Experience building or working on learning sys

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Source: Greenhouse (employer board) First seen: 2026-10-01 Last confirmed: 2026-10-03 How our data works → Report this job

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