Sr. Manager, GTM Analytics Seattle, Washington

About the Role

The GTM Analytics team sits within Revenue Operations and serves as the intelligence layer of Pitch Book’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 Pitch Book’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.

• 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 Pitch Book’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 questions of engineers and translate technical constraints into stakeholder‑appropriate communication
• Contribute to data governance and KPI definition work, ensuring metrics used in executive reporting have documented, agreed‑upon logic
• Stay ahead of planned system changes (CRM migrations, schema updates, tool additions) and ensure the analytics team is positioned to adapt without disruption to insight delivery
• Own the team’s output quality standard for visual communication—ensure dashboards, reports, and ad hoc analyses are polished, accurate, and audience‑appropriate across Tableau, Salesforce, and AI‑assisted tools
• Champion a “visualization‑first” mindset: push the team to default to charts, heatmaps, and trend visuals over raw tables wherever a picture communicates faster
• Build and maintain a library of reusable visual templates and best practices that can be delivered via Tableau, SFDC dashboards, PowerPoint, or AI‑generated outputs depending on context
• Actively pilot and embed AI tools (e.g., generative analytics, natural language query interfaces, Claude, or equivalent) to accelerate insight generation and enable self‑serve for stakeholders
• Ensure visual outputs are accessible and interpretable to senior audiences without…