OpenAI

Head of Econ Lab

OpenAI$300K — $500K+*
Education, Government & Non-Profit
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in economics or policy with practical applications in government, industry, or markets.
  • Proven ability to evaluate proposals and differentiate between good ideas and compelling promises.
  • Experience managing multiple unrelated projects simultaneously.
  • Strong communication skills to engage diverse audiences, from AGI enthusiasts to traditional economists.
  • Ability to navigate politically sensitive environments.

Responsibilities

  • Define the lab's operating thesis to explore the economics of transformative AI.
  • Build and manage a portfolio of projects based on proposals and funding interest.
  • Recruit and hire a diverse team of economists and thinkers with complementary skills.
  • Determine the appropriate funding vehicle for each project, whether internal hires, grants, or fellowships.
  • Facilitate communication among independently-run projects through regular meetings and reviews.
  • Maintain relationships with economists, policy entrepreneurs, and potential collaborators or grantees.
  • Create decision-making tools and documentation for leadership to support portfolio trust without micromanagement.

Benefits

  • Collaborative environment with access to innovative thinkers.
  • Flexibility in funding mechanisms to explore diverse approaches.
  • Opportunity to shape and influence the field of transformative AI economics.
  • Chance to engage with high-caliber professionals and institutions globally.
Full Job Description
About the Role

The OpenAI Foundation is committing an initial $250M to grants, partnerships, and direct work aimed at building secure and abundant economic futures. You can read more about that announcement here.

We are looking for a Head of the Econ Lab: someone who can lead a team to figure out what the economics of transformative AI actually means.

If AI systems reach and exceed human-level capability on most economically valuable work, the standard toolkit likely won't cut it. The Econ Lab exists to resolve that uncertainty: a small team running a portfolio of bets - field-building among AGI-serious economic thinkers, speculative infrastructure like world-simulators, new economic frameworks, and whatever else turns out to matter.

You will own that portfolio/ selecting which research agendas or projects to fund, recruiting the people to run them, working across grants, fellowships, commissioned research, discontinuing what isn't working, and doubling down on what is. The right person has done serious economic work in the real world - government, industry, or markets - and takes the possibility of transformative AI seriously.

In this role, you will

  • Define the lab's operating thesis: how do you discover the answer to what the economics of transformative AI means and what policies might be useful.
  • Build and own the portfolio: convert proposals and inbound interest into a small number of fundable, owned bets.
  • Hire a small team of complementary thinkers - for example a grounded real-world economist, a growth or theory economist, and a leader in gradual disempowerment - rather than one profile expected to have all the answers.
  • Decide for each pilot/experiment, whether the right vehicle is an internal hire, a grant, a fellowship, an advisor relationship, or externally commissioned research.
  • Run the cadence that keeps independently-run bets talking to each other - lab meetings, portfolio reviews, peer critique - so lessons from one bet reach the others.
  • Own the relationship with the field: the economists, policy entrepreneurs, and institution builders reaching out, and the smaller number who should become collaborators, grantees, or hires.
  • Create the decision artifacts leadership needs to trust the portfolio without reviewing every proposal.

You'll thrive in this role if you

  • Have an economics or policy background grounded in the world rather than only in the academy; you have seen firsthand how theory has to interact with reality.
  • Can tell a compelling-sounding proposal from a good one, and are comfortable saying no to smart, credentialed people.
  • Are comfortable holding several unrelated bets at once without needing them to resolve into one tidy theory before funding them.
  • Can describe this work honestly in language that lands with both an AGI-pilled audience and a traditional economist.
  • Have experience navigating politically sensitive or heavily scrutinized work.

Compensation

The annual base salary range for this role is $300,000 to $600,000 USD.

This range reflects our good-faith estimate of the base salary we reasonably expect to pay for this position upon hire. Actual base salary will be determined based on job-related factors, including the candidate's relevant experience, skills, expertise, the scope of the role, and work location, as applicable.

This salary range does not include benefits or any other compensation for which the role may be eligible.

About OpenAI

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Founded
2015

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