Product Manager (B2B)

About the Role

DeepLearning.AI is seeking a Product Manager (B2B) to own the product experience for their enterprise and business customers. This role is based in Mountain View, California and is an in-person, on-site position. The company's mission is to empower everyone to build with AI, focusing on educational products to train AI engineers, particularly in the realm of GenAI.

Key Responsibilities

• Own the product strategy, roadmap, and feature delivery for DeepLearning.AI's corporate training offering.
• Partner closely with enterprise sales, engineering, and customer success to understand business customer needs, including learning platforms, analytics, and reporting.
• Translate enterprise customer requirements (e.g., learning analytics dashboards, usage reporting, custom learning paths, LMS integration, data privacy/security needs) into clear product specs for engineering and design.
• Build prototypes to validate product ideas and test product-market fit.
• Create code/design handoff artifacts for engineering production.
• Support enterprise sales cycles by joining customer calls, scoping custom requests, and representing the product roadmap.
• Collaborate cross-functionally with engineering, design, and curriculum product teams to deliver features for enterprise buyers and learners, as well as B2C learners.

Requirements & Tech Stack

• 0 to 1 product mindset to build out a revenue stream as the first dedicated B2B product manager.
• AI fluency and ability to code; strong conceptual understanding of AI technologies or ability to develop it quickly.
• Familiarity and experience with AI-powered coding tools such as Claude Code or Cursor, and experience building or prototyping software.
• Adequate technical proficiency to prototype, scope features, understand technical requirements, and communicate credibly with engineers.
• Understanding of the B2B user mindset (buyers and learners), including expected features, decision-making criteria, and pressures.
• Ability to prioritize work effort and investment informed by data.

Qualifications

• A creative, self-starter who can work collaboratively and independently.
• Thrives in a fast-paced environment.
• Passion for AI and education.
• Must be based in the United States.
• Must possess or be eligible to obtain authorization to work in the U.S.

Bonus Qualifications

• Familiarity with AI/ML concepts.
• Prior experience in edtech, corporate L&D, or workforce upskilling products.
• Experience running or supporting enterprise sales cycles (pre-sales, solutions engineering, or similar).

Compensation

$150,000 - $170,000 a year