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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.

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.

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

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.