Partner 16, Data Engineer - Global Partnerships

a16z; San Francisco (CA); On-site; USD 269,000 - 314,000; Full time

Benefits offered by this job

a16z carry program

Discretionary bonus program

Health plan

Dental plan

Vision plan

Disability insurance

Life insurance

401K plan

Vacation leave

Sick leave

Job summary

a16z is hiring to build and scale data infrastructure for Global Partnerships in San Francisco. You will own core datasets and pipelines, design scalable systems, and drive automation to reduce manual work.

The role emphasizes data quality, AI tooling, and cross-functional collaboration with engineering, product, and business teams. Expect to lead analytics, develop insights on fund performance, and present findings through visualizations.

Qualifications

• 5+ years in data analytics or data engineering
• Bachelor’s degree in a technical field preferred
• Strong written communication skills
• Experience building data workflows, automations, or integrations using Python/JavaScript

Responsibilities

• Own Global Partnerships data systems and pipelines
• Design scalable data infrastructure and automate processes
• Monitor data quality and rectify discrepancies across platforms
• Pilot and scale AI tools and agentic workflows
• Lead automation and operational scale to improve data accuracy and speed
• Produce visualizations and analyses for fund and investment performance

Skills

Python

JavaScript

Data analytics

Data engineering

Automation

Cross-functional leadership

Strong written communication

Problem solving

Education

BSc in CS/DS/Finance

Tools

Python

JavaScript

Job description

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