Jobs / United States / Gusto INC

Senior Manager, Head of Sales Data Science & Analytics

Gusto INC · 🇺🇸 Denver, CO - Hybrid; New York, NY - Hybrid; San Francisco, CA - Hybrid

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 44 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 7 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 Gusto INC paid sponsored hires in similar roles7 certified filings for “Senior Analyst, Marketing Insights & Analytics” (Data Scientists) in CA: $199k–$240k, median $210k. Most were filed at wage level IV (71%) — 4 lottery entries, ≈61% 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).

A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.

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Sponsor Radar — Gusto INC

44 H-1B filings certified since Oct 2025

The US Department of Labor certified 44 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 7 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 Gusto INC →

About the role

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy . AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. About the Role: Gusto is looking for an experienced Senior Data Science Leader to empower our Sales Data team, the team that powers the insights, forecasting, and measurement infrastructure behind how we acquire, expand, and retain our revenue base. We expect this leader to be both a strategic partner and execution-focused. You'll guide senior sales and marketing leaders through complex analytical questions, develop analysts into statistical and scientific thinkers, and collaborate cross-functionally with stakeholders across Sales Operations, Data Engineering, Finance, R&D, and more. As AI tooling becomes deeply embedded in Gusto's data infrastructure, the nature of analytics work is fundamentally shifting. Tasks that once consumed a significant portion of our analyst's time, such as reporting, dashboard maintenance, and answering ad hoc questions, are increasingly handled by a maturing self-serve ecosystem. What remains are the hard problems: ones that require rigorous statistical thinking, causal reasoning, and the ability to draw defensible conclusions in messy, real-world conditions where controlled experiments aren't always possible. This role has two equally important mandates. The first is operational: Gusto's sales data foundation has significant technical debt, and this leader will need to partner closely with Data Engineering to assess the current state, architect a modern and scalable data layer, and execute a phased remediation. The second is transformational: as the foundation gets rebuilt, this leader must simultaneously evolve what the team does with it: moving from a function defined by query fulfillment and reactive reporting toward one defined by advanced forecasting capabilities, causal inference, and analytical rigor. The ideal candidate brings deep expertise in Sales data, a commitment to building strong foundations for scale, paired with a genuine command of experimentation and quasi-experimental methods, and can instill these capabilities across the team. Here's what you'll do day-to-day: • Lead the Sales Analytics team -- Drive vision for and champion a team of data scientists and analysts to deliver impact across customer acquisition and product expansion sales teams. • Insights and Recommendations: Conduct deep-dive analyses to identify revenue drivers and anomalies. Translate complex data into clear, actionable insights and recommendations for senior leadership and cross-functional partners. • Rebuild the data foundation -- alongside Data Engineering and Service Platform partners, drive the evolution of our foundational data systems needed to build a world class sales analytics ecosystem. • Partner with key stakeholders -- work closely with the Chief Revenue Officer, Sales Operations, Data Engineering, and the Service Platform team to align on a shared data and infrastructure roadmap. • Evol

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Source: Greenhouse (employer board) First seen: 2026-08-14 Last confirmed: 2026-10-03 How our data works → Report this job

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