Jobs at PitchBook

Collects, validates, audits, and improves proprietary private-market data using internal research tools, databases, business intelligence reports, and Power BI. The role supports data quality, customer requests, team training, process improvement, cross-functional collaboration, and coordination with the Mumbai Data Operations team. It requires strong communication, organization, analytical judgment, attention to detail, and interest in financial markets.

Supports global client events and gifting programs for Sales and Customer Success. Responsibilities include end-to-end event planning, venue and catering coordination, signage, shipping, swag, on-site event support, Sendoso campaign and inventory management, Company Store support, and cross-functional project participation. The role requires strong organization, communication, collaboration, and the ability to manage multiple priorities in a fast-paced, office-based environment.

Supports private capital portfolio monitoring by organizing financial statements, tracking performance indicators, managing borrower compliance requirements, and analyzing financial information. Collaborates with customers to gather feedback, supports product testing and feature development, and works cross-functionally with Sales, Implementation, and Customer Success teams. The role also contributes to company initiatives and projects while providing strong customer service and problem-solving support.

Design, build, and maintain backend services and large-scale data pipelines processing billions of records. Own components end-to-end from requirements and architecture through production support. Develop scalable Java microservices, contribute to technical decisions, review code, troubleshoot production systems, and collaborate with engineering, product, and data science teams. Apply AI tooling and LLM capabilities where relevant while supporting reliability, testing, and continuous improvement.

Manages APAC Data Operations teams and strategy, including hiring, training, people development, data quality assurance, research methodologies, benchmarking, budgeting, and operational reviews. Leads strategic initiatives and multi-year data expansion roadmaps while partnering with Sales, Customer Success, Product, and Engineering. Uses SQL, Python, BI tools, automation, and AI-enabled research tools to improve workflows, track KPIs, address data gaps, and enhance client support.

The Systems Administrator designs, configures, and maintains company infrastructure, including cloud systems, networks, firewalls, and SaaS tools. Responsibilities include escalated support, access administration, vendor coordination, infrastructure troubleshooting, and leading migrations, software rollouts, and cross-functional IT projects. The role also supports SOC 2 audit evidence and controls, documents IT processes, and pilots AI-driven service improvements. This is an onsite position requiring collaboration with distributed teams and occasional travel.

Lead the Daily Pitch newsletter from story selection through publication, editing items, writing headlines and leads, and meeting daily deadlines. Translate financial research and proprietary data into accessible content, collaborate with newsroom and analyst teams, and manage newsletter audience growth through performance metrics. Maintain editorial accuracy and integrity while using AI tools to improve workflows and supporting broader company initiatives.

Leads PitchBook’s daily venture capital and emerging technology newsletter, setting editorial direction and quality standards. Produces original financial journalism, market analysis, enterprise reporting, and data-driven stories; edits contributions from reporters and analysts; collaborates with research, data, and visualization teams; and develops a strong network of industry sources. The role requires attending relevant events, occasional travel, and working onsite in San Francisco five days per week.

Leads the Enterprise Data Platform team, managing data engineers and driving the data engineering roadmap. Oversees scalable pipelines, ETL/ELT workflows, cloud architectures, data models, governance, quality, lineage, and performance optimization. Partners with technology and business leaders to deliver enterprise data solutions and AI/ML capabilities. Responsibilities include architecture decisions, team development, mentoring, stakeholder collaboration, compliance, and operational improvement.

Manage research data products and methodologies, build and maintain SQL and Python data pipelines, optimize queries, and support production deployments. Partner with Product, Engineering, Data Operations, and analyst teams to implement methodology updates, data cleanups, and internal or production applications. Improve research workflows, communicate project changes, and mentor junior engineers while supporting financial market research outputs.

Manage research data products, pipelines, SQL repositories, and methodology implementations across production systems. Partner with Product, Engineering, Data Operations, and analyst teams to deploy tools, improve research workflows, optimize data delivery, and maintain data quality. Communicate methodology changes and project progress to stakeholders while mentoring junior engineers. The role requires strong SQL and Python skills, financial markets knowledge, and the ability to work onsite five days per week.

Lead a small engineering team while being a hands-on backend contributor: design and build ingestion pipelines, entity resolution, enrichment workflows, and search indexing. Own service quality, performance, reliability, observability, and estimations. Mentor engineers, drive technical practices, reduce technical debt, and collaborate with product and partner teams. Use cloud, containerization, streaming systems, and search technologies to deliver scalable, production-grade systems.

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.

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.

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.