Senior Product Manager, AWS Neurosymbolic AI

Key job responsibilities

• Own feature definition and delivery for a specific product area within the neurosymbolic AI platform
• Engage directly with customers and beta participants to understand needs, gather feedback, and validate solutions
• Write clear product requirements and specifications that translate customer problems into buildable scope
• Drive prioritization within your area — making tradeoffs between customer asks, technical debt, and new capabilities
• Partner closely with engineering and science teams through the full development lifecycle
• Define and track success metrics for your features and surface learnings to inform broader product direction
• Contribute to launch readiness — documentation, enablement materials, and go-to-market support
• Communicate progress, blockers, and customer insights to leadership and cross-functional partners

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 technical product or program management experience
• 2+ years of enterprise scale infrastructure or development-based cloud programs/projects in a related industry experience
• Experience driving feature delivery end-to-end — from requirements through launch
• Strong written communication — you can write a product spec that engineers want to build from

Preferred Qualifications

• Experience in identifying a customer need, building a product to meet that need, and launching that product
• Experience shipping innovative, successful consumer products
• Master's degree in a technical field
• Experience with developer tools, APIs, or platform services
• Familiarity with formal methods, compilers, programming languages, or verification tools
• Comfort working alongside scientists and engineers on technically complex products
• Experience with usage metrics, A/B testing, or data-driven product decisions