Enterprise AI Product Manager – EdTech Solutions

AI Fund

Mountain View (CA)

On-site

USD 150,000 - 170,000

Full time

10 hours ago
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Job summary

DeepLearning.AI in Mountain View, CA is seeking a Product Manager (B2B) to own the enterprise product experience. This in-person role collaborates with sales, engineering, and curriculum teams to translate customer needs into a data-driven roadmap for corporate learners and sponsor organizations.

You'll build prototypes, contribute to analytics dashboards and LMS integrations, and support enterprise sales cycles.

Qualifications

  • Must have 0–1 product mindset to build a new B2B revenue stream.
  • Strong AI fluency; capable of understanding AI tech and coding basics (e.g., AI-powered coding tools like Claude Code/Cursor).
  • Proficient enough to prototype features and scope requirements for engineering.
  • Understand the B2B buyer/learner mindset and decision-making.
  • Able to prioritize work using data-driven insights.

Responsibilities

  • Own the product strategy, roadmap and delivery for corporate training offering.
  • Partner with enterprise sales, engineering and customer success to capture business needs (analytics, reporting, learner goals).
  • Translate enterprise requirements into clear specs for engineering and design.
  • Build prototypes to validate ideas and enable production handoffs.
  • Support enterprise sales cycles — join calls, scope requests, and represent the roadmap to B2B accounts.
  • Collaborate with engineering, design, and curriculum teams to ship features for enterprise buyers and learners.

Skills

Product mindset
AI fluency
Prototype ability
B2B user understanding
Data-driven prioritization

Tools

Claude Code
Cursor

Job description

DeepLearning.AI in Mountain View, CA is seeking a Product Manager (B2B) to own the enterprise product experience. This in-person role collaborates with sales, engineering, and curriculum teams to translate customer needs into a data-driven roadmap for corporate learners and sponsor organizations.

You'll build prototypes, contribute to analytics dashboards and LMS integrations, and support enterprise sales cycles.

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