Top Tech Jobs & Startup Jobs in Seattle, WA

The Customer Support Specialist provides direct assistance to PitchBook clients via chat, phone, and email, while troubleshooting issues and documenting interactions. This role emphasizes collaboration, communication, and ongoing learning to enhance customer experience and drive product improvements.

Lead product management for Navigator, PitchBook's AI platform. Define strategy, manage a team, drive cross-functional execution and ensure alignment across stakeholders.

PitchBook News seeks an experienced journalist to break news and analyze venture capital deals, funds, and startups. The role will contribute to a VC newsletter, collaborate with data and research teams to produce data-driven stories and visuals, build industry sources, attend events, and deliver original enterprise reporting.

Design, build, validate, and productionize statistical and machine learning models on proprietary private-markets datasets. Collaborate cross-functionally to deliver analytical tools, author research, respond to client inquiries, and support go-to-market and productization.

The Principal Product Manager leads AI-driven product innovation, defining the product vision and roadmap, collaborating with cross-functional teams, and mentoring team members to prioritize customer needs and increase product engagement.

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.

Teach and support non-technical employees to use AI tools (Copilot, Claude, ChatGPT); build agents, prompts, and workflows; run role-specific training and office hours; manage connector/MCP intake and delivery; enforce responsible-use and data governance; track AI adoption and business impact.

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.