Partner 16, Data Engineer - Global Partnerships

Andreessen Horowitz; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Andreessen Horowitz is seeking a Global Partnerships Data Engineer to own and advance the data ecosystem supporting LP relationships. You will design scalable data infrastructure, oversee core datasets, and partner with cross-functional teams to automate pipelines and improve decision-making.

The role emphasizes AI adoption, data accuracy, and actionable insights for portfolio performance. Based in the San Francisco Bay Area, you will collaborate across Global Partnerships to deliver high-impact

Qualifications

• Minimum of 5 years of experience in data analytics or data engineering.
• Bachelor's degree in Computer Science, Data Science, Economics, Finance, Accounting, or a technical field preferred but not required.
• Demonstrate a critical eye and keen attention to detail for written prose and charts, tables and spreadsheets and the ability to stay on top of changing data/facts across multiple documents with ease.
• Strong writing skills: The ability to communicate effectively through the written word is a critical skill.
• Demonstrated experience building and maintaining data workflows, automations, or integrations using tools such as Python, Javascript, or a comparable programming language.
• Proven ability to lead ambiguous, cross-functional projects with substantial autonomy and influence stakeholders across technical and business

Responsibilities

• Own and advance the Global Partnerships data ecosystem, including the core datasets and data pipelines.
• Design and maintain scalable data infrastructure and reliable pipelines that connect Global Partnerships systems.
• Uphold the highest standards of data precision and monitor and rectify 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 to remove manual work and drive adoption across the team.
• Lead automation and process development to improve data accuracy, reliability, and speed.
• Act as the team's AI thought partner and translate emerging tools into concrete improvements.
• Build visualizations and analyses that provide insights on fund performance and portfolio data.

Skills

Data engineering

Data analytics

Python

JavaScript

Strong writing skills

Cross-functional leadership

Education

Bachelor's degree in Computer Science or related field

Tools

Python

JavaScript

Job description

The Role

Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $100B+ under management across multiple funds.

We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.

The Global Partnerships team is dedicated to crafting an outstanding client experience for our trusted Limited Partners ("LPs"). The Global Partnerships Data Engineer owns and advances critical data infrastructure, systems, and automation that support the global partnerships activities of Andreessen Horowitz. This role operates with significant independence, leads complex cross-functional initiatives, and serves as a technical and strategic thought partner across Global Partnerships and adjacent teams. We’re looking for a data leader who can translate ambiguous business needs into scalable systems, reliable pipelines, and practical insights.

We are open to candidates based in the San Francisco Bay Area.

To join our team, you should be excited to:

Own and advance the Global Partnerships data ecosystem

• Lead ownership of critical systems, including the Global Partnerships core datasets and data pipelines. Serve as a technical and strategic thought partner to Global Partnerships and adjacent teams on data practices, automation, and scalable process design
• Design and maintain scalable data infrastructure and reliable pipelines that connect Global Partnerships systems and reduce manual work and error rates
• Uphold the highest standards of data precision and monitor and rectify discrepancies across different platforms
• Evaluate and implement tools and integrations to improve visibility, connectivity, and decision-making

Champion AI adoption across Global Partnerships

• Identify, pilot, and scale AI tools and agentic workflows that remove manual work and give the team leverage, then drive team-wide adoption through training, documentation, and change management
• Lead automation, process development, and operational scale. Enhance processes through automation to achieve data accuracy, reliability, and speed
• Act as the team's AI thought partner, staying current on emerging tools and translating them into concrete, high-leverage improvements to LP-facing and internal processes

Leverage data to enable practical insights on our portfolio and the industry

• Build visualizations and quantitative analyses that provide key insights on fund and investment performance including projected exit scenarios, liquidity and follow-on decisions
• Develop strong fluency with the firm’s portfolio company information database and be able to manipulate and analyze data from the system to draw insights
• Refine and calibrate portfolio performance analyses to stay current and relevant

Minimum Qualifications

• Minimum of 5 years of experience. Preferable past experience includes but is not limited to, data analytics or data engineering
• Bachelor's degree in Computer Science, Data Science, Economics, Finance, Accounting, or a technical field preferred but not required
• Demonstrate a critical eye and keen attention to detail for written prose and charts, tables and spreadsheets and the ability to stay on top of changing data/facts across multiple documents with ease
• Strong writing skills: The ability to communicate effectively through the written word is a critical skill
• Demonstrated experience building and maintaining data workflows, automations, or integrations using tools such as Python, Javascript, or a comparable programming language
• Proven ability to lead ambiguous, cross-functional projects with substantial autonomy and influence stakeholders across technical and business