Partner 16, Data Engineer - Global Partnerships

Build and scale data infrastructure for Andreessen Horowitz’s Global Partnerships, translating ambiguous needs into reliable systems and high-leverage automation.

Responsibilities

• Own critical Global Partnerships systems, including core datasets and data pipelines, and act as a technical and strategic thought partner on data practices, automation, and scalable process design
• Design and maintain scalable data infrastructure and reliable pipelines that connect Global Partnerships systems while reducing manual work and error rates
• Maintain high standards of data precision by monitoring and rectifying discrepancies across platforms
• Assess and implement tools and integrations to improve visibility, connectivity, and decision-making
• Identify, pilot, and scale AI tools and agentic workflows to remove manual work, then drive adoption through training, documentation, and change management
• Lead automation, process development, and operational scale to improve data accuracy, reliability, and speed
• Serve as an AI thought partner by tracking emerging tools and translating them into concrete improvements for LP-facing and internal processes
• Create visualizations and quantitative analyses covering fund and investment performance, including projected exit scenarios, liquidity, and follow-on decisions
• Develop fluency with the firm’s portfolio company information database, including manipulating and analyzing system data to produce insights
• Refine and calibrate portfolio performance analyses to keep them current and relevant

Requirements

• Minimum 5 years of experience (data analytics or data engineering preferred)
• Bachelor’s degree in Computer Science, Data Science, Economics, Finance, Accounting, or a technical field (preferred but not required)
• Strong attention to detail, including the ability to review written prose and evaluate charts, tables, and spreadsheets, while staying current on changing data or facts across multiple documents
• Strong written communication skills
• Proven experience building and maintaining data workflows, automations, or integrations using Python, Javascript, or a comparable programming language
• Experience leading ambiguous, cross-functional projects with substantial autonomy and influence across technical and business teams
• Track record owning or administering complex data pipelines or other critical business systems, with focus on data completeness, governance, and integration
• Low ego, high empathy, and ability to collaborate effectively with diverse teams
• Sense of urgency and professional responsiveness
• Ability to adapt quickly to unforeseen developments without sacrificing attention to detail and quality
• Preference for validating assumptions upfront to avoid oversights later
• Enabling mindset focused on maximizing team leverage across tasks of any size
• Reliability in delivery: follow through on commitments
• Continuous improvement mindset and active search for new ideas
• Comfort wearing multiple hats and acting as a trusted partner and emerging leader on data practices, systems, and efficiency

Technologies

• Python
• Javascript

Benefits

• a16z carry program
• Various discretionary bonus programs
• Health, dental, vision
• Disability and life insurance
• 401K plan
• Vacation and sick leave

Role details

• Location: San Francisco, CA (onsite)
• Salary: USD 269,000 - 314,000 per year
• Eligible for a16z carry program and various discretionary bonus programs, plus benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave
• Open to candidates based in the San Francisco Bay Area
• Actual starting pay may vary based on experience, skills, and scope

Compliance

• Organization participates in E-Verify
• Andreessen Horowitz reserves the right to use unsolicited resumes received from outside recruiting agencies and/or individual recruiters without responsibility for any asserted fees