Job description

About the company Our client is an AI education company building tools to help teachers deliver personalized learning at scale. Its K-12 platform brings together curriculum, lesson planning, grading, feedback, tutoring, translation, analytics, and student support. The company is expanding a recently launched product line and is focused on meaningful improvements to educational outcomes. The role / why it matters As Senior Product Manager, you will own a product domain from strategy and discovery through launch and iteration. You will work across engineering, design, go-to-market, and customer partnerships to ship useful products at a fast cadence and improve learning experiences for students. What you'll do - Lead a zero-to-one product area from discovery through launch and continuous iteration. - Define product strategy and roadmap for a complex, multi-surface platform. - Work closely with engineering and design to deliver high-quality product experiences. - Bring customer and strategic partner feedback into product decisions and roadmap priorities. - Guide AI and machine learning product features from concept through delivery. - Communicate product tradeoffs across technical and nontechnical teams. What we're looking for - Five or more years of product management experience, with a record of taking products from discovery to launch. - Experience building or shipping AI or machine learning product features, such as LLM-based tools, copilots, or agentic products. - Direct customer-facing experience, including work with large or strategic partners that influenced the roadmap. - Experience with complex, multi-surface products and cross-functional teams. - Technical fluency to discuss architecture, AI or machine learning, and engineering tradeoffs credibly. - A mission-driven, low-ego approach and a strong sense of ownership in fast-paced environments. - Legal authorization to work in the United States. Bonus points - A computer science background or technical degree. - Experience managing large enterprise customer relationships. Compensation and benefits The base salary range is $180,000 to $210,000, with competitive equity. Benefits include medical, dental, vision, and life insurance, 401(k) matching, daily lunch credits, and a gym membership. Location / work model This is a hybrid role based in New York City, with in-office days on Monday, Tuesday, Thursday, and Friday and Wednesdays working from home. Candidates must be based in New York City or willing to relocate.

Requirements

Must-haves

Lead a zero-to-one product area from discovery through launch and continuous iteration.
Define product strategy and roadmap for a complex, multi-surface platform.
Work closely with engineering and design to deliver high-quality product experiences.
Bring customer and strategic partner feedback into product decisions and roadmap priorities.
Guide AI and machine learning product features from concept through delivery.
Communicate product tradeoffs across technical and nontechnical teams.
Five or more years of product management experience, with a record of taking products from discovery to launch.
Experience building or shipping AI or machine learning product features, such as LLM-based tools, copilots, or agentic products.
Direct customer-facing experience, including work with large or strategic partners that influenced the roadmap.
Experience with complex, multi-surface products and cross-functional teams.
Technical fluency to discuss architecture, AI or machine learning, and engineering tradeoffs credibly.
A mission-driven, low-ego approach and a strong sense of ownership in fast-paced environments.
Legal authorization to work in the United States.

Nice-to-haves

A computer science background or technical degree.
Experience managing large enterprise customer relationships.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigomachine learningllm

Platform: workable
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)