Product Manager, Research (AI)

TL;DR

Product Manager, Research (AI): Owning the ideation and deployment of new AI models and products for advancing frontier, safe AI technology with an accent on productizing applied research and identifying use cases grounded in customer needs. Focus on bridging research and ambitious product experimentation to grow new product categories enabled by AI.

Location: Hybrid in San Francisco, CA or New York City, NY. Expect to be in one of the offices at least 25% of the time.

Salary: $305,000 - $385,000 USD

Company

hirify.global’s mission is to create reliable, interpretable, and steerable AI systems.

What you will do

• Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems.
• Partner with research to define, improve, and ship model capabilities within a research area.
• Identify nascent research that could become transformative products.
• Synthesize user insights into actionable requirements and evaluations.
• Understand the AI landscape and ecosystem, ensuring we have an objective view of market capabilities and our position.
• Work with and influence a diverse set of stakeholders, including research, product engineering, and platform engineering teams.

Requirements

• Have a deep passion and curiosity for AI and LLMs and use AI regularly.
• Have 5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus).
• Have a data-driven mindset with working proficiency in Python and SQL.
• Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities.
• Have a track record of launching ambitious products that have achieved distribution or commercial success.
• Education requirements: At least a Bachelor's degree in a related field or equivalent experience.

Culture & Benefits

• Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, and flexible working hours.
• Collaborative team environment with frequent research discussions.
• Emphasis on big science and impactful, long-term AI research.