Partner 22, Fund Strategy Engineering & Data

A16z

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: $ 275000 - 320000
Posted on: 7 hours ago
Vacancies: 1 Vacancy

Job Summary

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 $90B under management across multiple funds.

Weve established a team that is defined by respect for the entrepreneur and the company-building process; we know what its like to be in the founders shoes. Weve 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 Fund Strategy Engineering & Data Partner plays a key role in delivering actionable data-driven insights across all of a16z. This role will leverage Databricks SQL and modern software data & ML frameworks to construct enterprise-grade datasets simulations and analytical tools. The role involves designing automated data pipelines cleaning and enriching large structured and unstructured datasets applying advanced statistical and machine learning methods and developing programmable analyses that address complex business challenges. This role requires strong technical expertise in software engineering scalable data systems and applied analytics paired with a deep understanding of fund mechanics and investment strategy.

The Partner will collaborate with central teams such as the software group investor relations finance compliance and tax to transform complex financial datasets into predictive decision-grade intelligence.

The Fund Strategy team focuses on four core areas:

  • New Fund Formation Modeling and Strategy Developing models to forecast fund dynamics
  • Fund Management Managing deployment pacing portfolio construction portfolio strategy and life-of-fund responsibilities
  • Capital Management Optimizing capital allocation and financial planning
  • Cash and Stock Distributions Strategizing on distribution methods to maximize returns

This position demands proficiency in both the technical aspects of software and data engineering and the strategic understanding of fund management providing a bridge between data-driven insights and executive decision-making. Must thrive at the intersection of technical execution and business impact.

This role requires an in-office presence 3 days a week in our San Francisco CA office or Menlo Park CA office.

To join our team you should be excited to:

  • Architect and build automated systems internal tools and web applications that collect classify and analyze financial data across structured and unstructured sources. Work will be done in partnership with the firms software group
  • Own the end-to-end analytics lifecyclefrom exploratory data analysis and hypothesis generation to model development validation and deployment
  • Guide the technical direction of data and AI initiatives including architecture roadmap priorities and tool selectionapplying first-principles thinking to fund analytics
  • Lead development of analytical and predictive systems for investment tracking portfolio optimization and fund-level strategy
  • Design and scale modern data pipelines and ML workflows using Fivetran dbt Databricks and Hexensuring performant integration of financial data across cloud systems
  • Translate complex datasets into decision-grade insights by applying statistical inference predictive modeling and causal analysis for fund pacing reserve management and risk assessment
  • Deliver real-time intelligence via dashboards APIs and simulationsenabling faster more consistent decision-making across investment and operating teams
  • Support pro-rata and follow-on investment analysis with scenario modeling and optimization frameworks
  • Conduct public markets analytics using econometrics natural language processing and quantitative modeling to inform distribution and exit strategies
  • Build and maintain positive relationships and act as a trusted technical and engineering partner with key groups of the firm including the investment legal capital network and finance teams
  • Own the design and delivery of scalable executive-facing dashboards that integrate data from finance ops and engineering to surface insights on fund performance and investment outcomes for senior stakeholders
  • Support ad-hoc projects related to the Firms priorities and initiatives

Minimum Qualifications

  • Mastery of modern data and software engineering tools and languages including SQL Databricks dbt Delta Lake Python and orchestration or web frameworks
  • 7 years of experience building scalable data-driven software systems or internal tools that support financial decision-making asset management or portfolio strategy
  • Degree in Computer Science Engineering Data Science Applied Math/Stats Finance or similar
  • Deep domain fluency in venture economics fund modeling tokenomics pro rata mechanics and carry waterfalls
  • Proven experience delivering analytical platforms and predictive models that inform executive decision-making
  • Strong collaborative skills and the ability to work cross-functionally across the various operational groups within a16z
  • Experience leading projects with company-wide impact
  • Experience in mentoring/influencing senior engineers across organizations
  • Proven track record of planning multi-year roadmaps in which short-term projects ladder up to a long-term vision
  • Experience in driving large cross-functional/industry-wide engineering efforts
  • Experience building internal platforms APIs or user-facing tools is a plus
  • Candidate must be authorized to work in and be living in the United States
  • Low ego high empathy and the capacity to collaborate effectively with diverse teams

The anticipated salary range for this role is between $275000 - $320000 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.


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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 ...
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About Company

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Andreessen Horowitz (a16z) is a venture capital firm in Silicon Valley, California, investing in bold founders, innovators, and entrepreneurs building the future through technology.

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