Job description

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 , enterprise , fintech , frontier , 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 Role 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 teams Experience owning or administering complex data pipelines or another critical business system, with a focus on data completeness, governance, and integration Low ego, high empathy, and the capacity to collaborate effectively with diverse teams Ideal Candidate You have a sense of urgency and value the courtesy of professional responsiveness (this is super important as speed is a form of client service) You are able to adapt on the fly and handle unforeseen developments with ease. You are also able to do this without compromising attention to detail and quality You are a “measure twice, cut once” type of person – you are comfortable and have a preference for asking more questions upfront to avoid an oversight down the road You strive to be an enabler who gives the team maximum leverage - there is no job too big, no job too small You do what you say you are going to do, when you say you are going to do it You continually search for new ideas and means of improvement You are a dedicated team player that is willing to wear multiple hats Most importantly, you take your work seriously but not yourself too seriously You anticipate business needs, take ownership without waiting to be asked, and design solutions for scale You can break down complex processes, identify high-leverage improvements, and guide teams through change You are a trusted partner and emerging leader whom peers consult on data practices, systems, and efficiency The anticipated salary range for this role is between $269,000 - $314,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope. This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave. a16z culture We do only first class business and only in a first class way We take a long view of relationships, because we are in the relationship business We believe in the future and bet the firm that way We are all different, we recognize that, and we win We celebrate the good times We do it for the team We play to win At a16z we are always looking to hire the absolute best talent and recognize that diversity in our experiences and backgrounds is what makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. These differences are what enables us to work towards the future we envision for ourselves, our portfolio companies, and the World. Our organization participates in E-Verify. Click here to learn about E-Verify. Andreessen Horowitz hereby reserves the right to make use of any unsolicited resumes received from outside recruiting agencies and / or individual recruiters without being responsible for payment of any fees asserted from the use of unsolicited resumes.

Requirements

Must-haves

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
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 of 5 years of experience. Preferable past experience includes but is not limited to, data analytics or data engineering
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 teams
Experience owning or administering complex data pipelines or another critical business system, with a focus on data completeness, governance, and integration
Low ego, high empathy, and the capacity to collaborate effectively with diverse teams
Ideal Candidate
You have a sense of urgency and value the courtesy of professional responsiveness (this is super important as speed is a form of client service)

Nice-to-haves

Bachelor's degree in Computer Science, Data Science, Economics, Finance, Accounting, or a technical field preferred but not required

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: greenhouse
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Benefits

Benefits detected in the listing.

Dental

Vision

401k