The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are 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.
BASIC QUALIFICATIONS
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
PREFERRED QUALIFICATIONS
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
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 - 166,300.00 - 225,000.00 USD annually
