Jobs at PitchBook

Generates qualified sales opportunities through outbound prospecting and inbound lead follow-up. Conducts discovery calls, qualifies prospects, meets pipeline quotas, researches accounts, and nurtures stalled opportunities. Collaborates with Account Managers, Business Development Representatives, and Customer Success Managers while maintaining Salesforce records and using sales engagement tools. Builds expertise in private capital markets and PitchBook offerings, contributes to team initiatives, and works onsite five days per week.

Architect and deliver cloud-native services powering the PitchBook platform. Lead technical design and hands-on development of microservices, ensure non-functional requirements, document architecture evolution, guide teams on DDD and integrations (including AI/LLM tooling), and drive cross-team alignment and best practices.

Design, build, and operationalize production-grade NLP and GenAI models (summarization, semantic search, classification, prediction). Develop scalable data pipelines and distributed systems, deploy models with cloud-native tooling, mentor engineers, collaborate cross-functionally, and ensure model monitoring, evaluation, and responsible-AI practices to deliver business-aligned insights.

The Account Manager at PitchBook drives customer satisfaction and retention through strong relationships and strategic sales efforts, managing client interactions and identifying growth opportunities.

The Senior Account Manager at PitchBook will manage key customer relationships, drive growth strategies, and ensure client satisfaction through effective communication and account management.

Own GTM performance reporting, dashboards, and forecasting across Sales, Marketing, Customer Success, and Finance. Run WBR/MBR/QBR processes, perform funnel, retention, campaign ROI, territory and capacity analyses, and surface actionable insights. Partner cross-functionally to ensure KPI consistency, data governance, and automation opportunities.

Own revenue performance reporting, dashboards, and forecasting across Sales, Marketing, Customer Success, and Finance. Perform funnel, retention, ROI, territory, and lifecycle analytics using Salesforce, Marketo, Gong, and SQL. Drive WBR/MBR/QBR processes, ensure KPI consistency and data governance, generate proactive insights, and partner cross-functionally to inform GTM strategy and automation opportunities.

Generate qualified opportunities within a fixed book of accounts via outbound prospecting and inbound follow-up. Conduct discovery, qualify leads, maintain Salesforce records, use sales tools (LinkedIn, Outreach, Gong), collaborate with AMs/BDRs, and meet monthly/quarterly pipeline quotas to drive revenue growth.

Act as a commercial partner to Sales by advising on deal structuring and pricing, reviewing and processing orders and contract amendments, validating CRM data, analyzing discount and order trends, resolving discrepancies with finance/legal, and improving order management processes and turnaround time.

Provide executive support to the Chief Revenue Officer and senior Commercial staff: manage complex calendars across time zones, prioritize and coordinate meetings, handle email/communications systems, take and distribute meeting notes/action items, maintain confidentiality, arrange travel and expenses, support events and department projects, prepare presentations, and collaborate with business operations and other administrative assistants.

Provide pre- and post-sales technical expertise for PitchBook's API and data feed products, support Sales and Customer Success teams, build client solutions with remote development teams, manage technical request queues, coordinate with Product/Technology/IT, and share customer feedback to improve the platform.

The Senior Technical Program Manager will lead cross-functional initiatives, manage execution risks, align stakeholders, and ensure successful product delivery and adoption.

Design and implement backend services and high-scale data pipelines to ingest, enrich, index, and serve billions of records. Own features end-to-end, write testable efficient code, contribute to architecture, perform code reviews, support production (deployments, troubleshooting, incidents), and apply AI/LLM tooling to improve development and delivery.

Design, build, and maintain backend services and large-scale data pipelines that ingest, transform, enrich, and index billions of records. Own features end-to-end, contribute to architecture, write testable performant code, perform reviews, support production systems, and collaborate with product and data science teams. Apply AI/LLM tooling to improve development and delivery.

Lead a small engineering team while writing production Java backend code daily. Design and own data ingestion, enrichment, entity resolution, and search-indexing systems. Ensure reliability, performance, observability, and technical quality; mentor engineers; collaborate with product and partners; drive down technical debt; use cloud, containerization, and CI/CD best practices to deliver scalable services.

The HR Business Partner will support leaders and employees across departments, manage employee relations, and improve talent programs, ensuring compliance with laws and policies.

Lead and scale FP&A functions: manage budgeting, rolling forecasts, scenario and variance analysis, driver-based models, resource/headcount planning, ROI and investment evaluations, KPI definition, dashboards, and automation/AI-enabled workflows while partnering with senior leaders to inform decisions and improve financial planning processes.

Design, build, deploy, and maintain production ML/GenAI systems focused on NLP tasks (summarization, semantic search, classification, prediction). Collaborate cross-functionally to operationalize models, build scalable data pipelines, ensure model monitoring/compliance, and mentor junior engineers while contributing to architecture and best practices.

Lead and scale a GTM analytics team delivering end-to-end insights across Sales, Marketing, and Customer Success. Partner with Data Engineering and Systems teams, own executive reporting (Tableau, Salesforce), establish standards, drive data governance, pilot AI-assisted analytics, and translate complex GTM metrics into actionable narratives for senior leaders.

Lead one or more full‑stack engineering teams to deliver high‑quality microservices and web services. Drive technical direction, execution, OKRs, mentoring, code quality, and cross‑team collaboration while removing roadblocks and ensuring on‑time delivery. Apply Java/Spring, messaging, cloud, caching, and persistence expertise to scalable, performant solutions and foster an inclusive, Agile culture.