Senior Product Manager, Asta (AI)

Location: Seattle, Washington, United States; expected to work from the Seattle offices

Salary: $115,920–$173,880 base annually, plus bonus plans and a long-term incentive plan

Company

hirify.global is a Seattle-based nonprofit AI research institute developing open models, data, robotics, conservation, and other AI research for real-world impact.

What you will do

• Define engineering requirements for Asta by translating researcher workflows into prioritized specifications.
• Build and sequence the roadmap for Asta’s agentic framework, supporting tools, and researcher adoption.
• Manage execution across engineering workstreams, including dependencies, priorities, tradeoffs, and feedback between research and engineering.
• Own the Semantic Scholar data platform and public APIs, balancing reliability for millions of users with platform modernization.
• Set the direction for AstaBench and establish benchmarking and evaluation standards for scientific agents.
• Own product compliance and governance requirements, including data access, deletion, privacy, and regulatory obligations.

Requirements

• Bachelor’s degree and 5–8+ years of product management experience.
• Experience shipping developer-facing or research-facing products such as APIs, platforms, or tools for technical users.
• Ability to translate ambiguous, research-driven needs into engineering requirements and sequenced roadmaps.
• Experience partnering closely with engineering teams on technical platforms and day-to-day prioritization.
• Interest in AI research, agentic systems, and scientific discovery, with the ability to learn technical domains quickly.
• Must work from the Seattle office and have authorization to work in the United States; employment authorization is verified through E-Verify.

Nice to have

• Experience with agent frameworks, LLM tooling, orchestration platforms, or evaluation frameworks.
• Experience building public-facing developer products, APIs, or benchmarks for external research communities.
• Familiarity with GDPR, CCPA, and other data privacy and governance regulations.
• Experience in a research organization, national laboratory, or academic environment.

Culture & Benefits

• Medical, dental, vision, employee assistance, HSA, HRA, and flexible spending account plans.
• 401(k) plan, annual bonuses, and long-term incentive plan.
• Paid vacation, sick leave, personal days, holidays, and family leave.
• Monthly commuting or internet and fitness or wellbeing allowances.
• Learning opportunities through ongoing education and Ai2 Academy lectures.
• Collaborative, inclusive workplace emphasizing transparency and work-life balance.