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The Allen Institute for AI

Non-profit AI research institute and tools

Senior Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeSeattle, WA, USA$115.9k - $173.9k

About the Job

Requirements

  • A bachelor's degree and 5–8+ years of product management experience, including shipping developer-facing or research-facing products such as APIs, platforms, or tools built for technical users.
  • Demonstrated ability to translate ambiguous, research-driven needs into concrete engineering requirements and a sequenced roadmap.
  • Experience partnering closely with an engineering team on a technical platform, including day-to-day prioritization and execution, not just quarterly planning.
  • Genuine interest in AI research, agentic systems, and their application to scientific discovery, with the ability to learn a technical domain quickly.
  • Comfort owning compliance-related product requirements, such as data access, deletion, and privacy regulations, and translating them into engineering work.
  • Strong written communication to produce requirements documents, roadmap updates, and risk escalations that people read and act on.
  • Stakeholder management across research and engineering, including with senior leaders, and comfort navigating disagreement to a decision.
  • Comfort operating with ambiguity and building product processes where none exist yet, while knowing which processes are worth the overhead.
  • Must be able to remain in a stationary position for long periods of time.
  • Must be able to communicate information and ideas so others understand and exchange accurate information in these situations.
  • Must be able to observe details at close range.
  • Must be able to work under deadlines.

Responsibilities

  • Define Asta engineering requirements by working directly with Ai2 researchers to understand their workflows and translating what is learned into clear, prioritized specifications for the Agentic Frameworks engineering team.
  • Help articulate tradeoffs to guide the team toward the highest-impact priorities and investments.
  • Build and sequence the roadmap for Asta's agentic framework and supporting tools so that new tools and capabilities compound toward unlocking scientific advancements.
  • Create and run a continuous feedback loop between engineering and research so researchers' needs surface early and shape the roadmap, and new capabilities get back in front of researchers quickly.
  • Drive adoption of Asta's tools among Ai2's researchers so that internal science runs on the platform shipped to the world.
  • Project-manage and drive execution across Asta engineering workstreams by tracking progress against the roadmap, unblocking dependencies, and keeping engineering and research aligned on priorities and tradeoffs.
  • Own the Semantic Scholar platform end to end, including the data platform and public APIs, balancing reliability for millions of users with the roadmap to rebuild the platform.
  • Own Ai2's benchmarking strategy for scientific agents by setting the direction for AstaBench, its public benchmark suite, and defining the evaluations Ai2 standardizes on internally, with partners, and for the broader AI research community.
  • Own regulatory and governance compliance for these products, including data subject rights such as the right to access and the right to be forgotten, partnering with legal as needed.
  • Represent the researcher and developer perspective in engineering planning, and represent engineering constraints and tradeoffs back to research and leadership.
  • Contribute to how Ai2 does product management as a discipline, given this is a growing function within the Strategic Programs team.

Desired Qualifications

  • Direct experience with agent frameworks, large language model tooling, or orchestration platforms, such as agent harnesses and evaluation frameworks.
  • Experience building or maintaining public-facing developer products, such as APIs or benchmarks used by an external research community.
  • Familiarity with data privacy and governance regulations, such as GDPR and CCPA, and what they require of a product.
  • Experience in a research organization, national lab, or academic environment, where timelines and incentives differ from a typical product company.

About the Company

The Allen Institute for AI

Non-profit AI research institute and tools

AI2 advances artificial intelligence through nonprofit research and open tools that benefit society. It builds and maintains open projects like AllenNLP, Aristo, Mosaic, PRIOR, EarthRanger, Skylight, and Semantic Scholar to help researchers, developers, and policymakers work on language understanding, reasoning, and climate or knowledge modeling. Unlike many AI companies, AI2 does not sell products; it is funded by grants and donations and shares its findings and tools openly with the public. Its goal is to improve AI’s reasoning and language abilities and apply these advances to real-world societal problems in education, science, and policy.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2014

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