The
AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only capable, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty.
Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications.
We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the
Lean theorem prover and is advised by
Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential.
We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale.
AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe. The science innovations developed by this team already power products in customers' hands: Automated Reasoning Checks in Amazon Bedrock Guardrails, policy verification in Amazon Bedrock AgentCore, and intelligent specification, testing, and correctness workflows in Kiro.
We publish at top venues, collaborate with leading academic institutions, and operate with the urgency and ownership of a startup inside one of the world's most impactful technology companies.
If you're excited by the idea of teaching machines to prove, not just predict, we'd love to talk.
What we're building
We are building a platform that brings the rigor of formal mathematics to the world of AI and software development. Our technology enables developers, AI agents, and autonomous systems to formally verify correctness, enforce guarantees, and establish trust, especially as AI-generated code and autonomous agents become the default, not the exception.
The core question we're answering: as AI systems become more capable and more autonomous, how do you know they did what you asked, correctly, safely, and completely? We're building the answer, using technologies like
Lean 4 (the same formal language behind recent breakthroughs in AI mathematical reasoning) combined with state-of-the-art neural approaches.
Our platform combines neural networks with formal verification engines, enabling capabilities that neither approach achieves alone: AI that writes code and proves it's correct. Agents that act autonomously and guarantee they'll respect constraints. Systems that reason about their own behavior with mathematical precision.
This is early, high-impact work with direct visibility to
AWS's most senior leaders. The customers you'll serve span from Fortune 100 enterprises betting their businesses on AI, to the developer communities building the next generation of autonomous software. You'll be shaping products that define how the world builds trustworthy AI for the next decade.
Key job responsibilities
As a Technical Product Manager on the
AWS Neurosymbolic AI team, you will define and drive the product vision for one of the most important emerging platforms in AI. You'll translate breakthrough research in formal verification and neurosymbolic AI into products that solve real problems for developers, security teams, and enterprises building with AI.
The opportunity: as AI-generated code and autonomous agents proliferate, the need for mathematical guarantees about their behavior is becoming existential for businesses. You'll define how
AWS meets that need, packaging complex technology into elegant, accessible experiences that customers love. This requires a rare blend of technical depth, business acumen, and design instinct.
Key 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.
Why Join Now? The convergence of large language models and formal reasoning is happening now. It will reshape how software is built, verified, and trusted, and we have the heritage, the talent, and the backing of
AWS to lead it. The people who join this team today will define this field for years to come.
- 7+ years of working as a Technical Product Manager experience
- 5+ years of technical (software development, network development, IT, other related) experience
- Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through
GTM (
go to market)
- 5+ years of enterprise scale infrastructure or development-based cloud programs/projects in a related industry experience
- Experience working with engineering and product teams to define a product and bring it to market
- Master's degree in a technical field, or Master of Business Administration
- Experience with AI/ML technologies
- Experience in formal verification, program analysis, constraint-solving, or theorem proving (academic or professional work)
- Experience bringing technology products to market in a fast-paced environment
- Experience with pricing and selection strategy
- Experience communicating and presenting to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 199,200.00 - 269,500.00
USD annually
USA, WA, Seattle - 181,100.00 - 245,000.00
USD annually