Principal Product Manager, AWS Neurosymbolic AI

Key job responsibilities

• Define and own the product vision and roadmap for formal verification and neurosymbolic AI products
• Deeply understand customer problems around AI trust, correctness, and safety
• Translate complex technical capabilities into products that feel simple and inevitable
• Drive prioritization across a portfolio of bets, balancing near-term customer wins with long-term platform investments
• Shape go-to-market strategy with AWS leadership
• Define pricing, packaging, and launch strategy for new capabilities
• Partner with science and engineering to ensure research translates into products customers can use
• Engage directly with customers, from enterprise CISOs to individual developers

About the team

Who Thrives Here: We're looking for people who defy easy categorization. Engineers who think like product managers. Scientists who care about shipping. Product leaders who can read a paper and sketch a system architecture on a whiteboard. The problems we're solving require people who move fluidly between disciplines, and we've built a culture that rewards breadth as much as depth.

Inclusive Team Culture: The best ideas at the intersection of AI and formal reasoning come from people with different backgrounds and training: mathematicians who became engineers, systems programmers who fell in love with type theory, researchers who wanted more than approximate answers. If your path has been nonlinear, you'll fit right in. We actively seek a diversity of perspectives because the problems demand it.

Training & Career Growth: You'll work alongside an industry-leading team of scientists and engineers who are defining a new field. We invest in growth, attending and publishing at top conferences, collaborating with university research partners, and creating the space to go deep on genuinely hard problems. This is a team where you'll learn constantly, from colleagues who are among the best in the world at what they do.

Work/Life Balance: Deep thinking requires rest, recovery, and a life outside of work. Flexible work arrangements are part of our culture, and we trust our team to manage their time and energy. When we feel supported in the workplace and at home, there's nothing we can't achieve.

Basic Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field
• 5+ years of experience in cloud computing, developer tools, AI, or enterprise software
• Demonstrated ability to define product strategy and drive execution in a fast-paced, technically complex environment

Preferred Qualifications

• MBA or Master's degree in a technical field
• Experience with AI/ML products, developer platforms, or security/compliance tools
• Familiarity with formal methods, automated reasoning, or programming language theory (you don't need to prove theorems, but you should understand why they matter)
• Experience bringing 0-to-1 products to market at a technology company
• Experience with pricing strategy, go-to-market execution, and product-led growth
• Comfort presenting to and influencing senior leadership