Own and advance global partnerships data infrastructure and automation in Menlo Park, CA.

Lead ownership of critical systems, including Global Partnerships core datasets and data pipelines
Serve as a technical and strategic thought partner on data practices, automation, and scalable process design across Global Partnerships and adjacent teams
Design and maintain scalable data infrastructure and reliable pipelines connecting Global Partnerships systems
Reduce manual work and error rates through improved pipelines and process design
Maintain high standards of data precision by monitoring and rectifying discrepancies across different platforms
Evaluate and implement tools and integrations to improve visibility, connectivity, and decision-making
Identify, pilot, and scale AI tools and agentic workflows that remove manual work, then drive adoption through training, documentation, and change management
Lead automation, process development, and operational scale to improve accuracy, reliability, and speed
Act as the team’s AI thought partner by staying current on emerging tools and translating them into concrete, high-leverage improvements to LP-facing and internal processes
Build visualizations and quantitative analyses for fund and investment performance, including projected exit scenarios and liquidity or follow-on decisions
Develop fluency with the firm’s portfolio company information database and manipulate/analyze data from the system to draw insights
Refine and calibrate portfolio performance analyses to keep insights current and relevant

Minimum 5 years of experience; data analytics or data engineering experience is preferable
Bachelor’s degree in Computer Science, Data Science, Economics, Finance, Accounting, or a technical field preferred (not required)
Strong attention to detail and critical thinking for written prose and charts, tables, and spreadsheets
Ability to stay on top of changing data or facts across multiple documents
Strong writing skills and ability to communicate effectively in writing
Demonstrated experience building and maintaining data workflows, automations, or integrations using Python, Javascript, or a comparable programming language
Proven ability to lead ambiguous, cross-functional projects with autonomy and stakeholder influence across technical and business teams
Experience owning or administering complex data pipelines or another critical business system with focus on data completeness, governance, and integration
Low ego, high empathy, and collaboration effectiveness across diverse teams

Global Partnerships Data Engineer owns and advances critical data infrastructure, systems, and automation supporting global partnerships activities
Works independently, leads complex cross-functional initiatives, and serves as a technical and strategic thought partner across Global Partnerships and adjacent teams
Translates ambiguous business needs into scalable systems, reliable pipelines, and practical insights

Location: Menlo Park, CA (onsite); open to candidates based in the San Francisco Bay Area
Salary: USD 269,000 - 314,000 per year
Actual starting pay may vary based on experience, skills, and scope

Partner 16, Data Engineer - Global Partnerships

Job Description