Jobs / United States / Pitchbook Data INC
Sr. Manager, GTM Analytics
Pitchbook Data INC · 🇺🇸 Seattle, Washington, 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 10 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 2026) — the step every H-1B hire needs first. USCIS also records 4 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 Pitchbook Data INC paid sponsored hires in similar roles1 certified filing for “Product Manager II” (Information Technology Project Managers) in WA: $139k–$139k, median $139k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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 — Pitchbook Data INC
The US Department of Labor certified 10 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 2026) — the step every H-1B hire needs first. USCIS also records 4 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 Pitchbook Data INC →
About the role
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: The GTM Analytics team sits within Revenue Operations and serves as the intelligence layer of PitchBook’s commercial engine. We partner directly with Sales, Marketing, Customer Success, Finance and Enterprise Data to ensure that every major business decision is grounded in rigorous, trustworthy data. We are a growing team, this role will be foundational in shaping our hiring trajectory, team structure, and standards of excellence. If you believe that the best insight is the one that informs and shapes decisions, you’ll fit right in. The Senior Manager, GTM Analytics leads a high-performing team of analysts and insight professionals responsible for turning PitchBook’s go-to-market data into a strategic asset. This leader owns the full analytics lifecycle, from partnering with Systems and Data Engineering teams to understand how data is structured and sourced, to delivering polished executive-ready insights through Tableau, Salesforce, AI-assisted tools, and custom visualizations. The role requires deep fluency in GTM process and operations, an ability to grow and develop talent, and a bias for proactive insight generation over reactive reporting. The ideal candidate is a builder who thinks in narratives, moves fast with data, and knows how to make complex GTM dynamics legible to any audience. Primary Job Responsibilities: • Recruit, develop, and retain a team of GTM analytics and insight professionals; build the hiring roadmap and org structure to scale the team • Set clear expectations, coach direct reports on both analytical craft and stakeholder communication, and create structured growth paths for ICs • Establish team operating rhythms, prioritization frameworks, and delivery standards that balance rigor with speed • Be a role model and develop and maintain a culture of intellectual curiosity, data integrity, and continuous improvement • Develop a deep, working understanding of PitchBook’s full GTM motion, lead-to-opportunity, pipeline, renewal, expansion, and churn, and how each stage is operationally executed across Sales, Marketing, and Customer Success • Partner with GTM Operations, Commercial Ops, and Marketing Ops to stay current on process changes, system updates, and evolving definitions that affect how data should be interpreted • Serve as the analytics team’s subject matter expert on how business processes translate into data structures, ensuring analysis reflects operational reality, not just raw numbers • Proactively identify process gaps where lack of clean data or instrumentation is limiting insight quality, and escalate or partner to resolve them • Build close working relationships with Systems, and Data/Business Intelligence Engineering teams to deeply understand how data flows from source systems (Salesforce, Marketo, Gong, Snowflake) into reporting layers • Serve as the bridge between analytical consumers and technical data producers—able to ask the right quest