About the job
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions.
We are looking for a Principal Product Manager, Technical to own and drive the product strategy, revenue, and adoption for AI Agent Evaluations within our Core Services AI Foundations team. You will be responsible for defining the long-term vision and building the business around evaluation capabilities that enable development teams to measure, benchmark, and continuously improve the quality, safety, and reliability of their AI powered agents. This includes owning the full product lifecycle from concept through GTM for evaluation tooling, quality scoring methodologies, regression testing frameworks, and human review workflows. You will own one or more products in production while also getting in on the ground floor of new projects that bring evaluation capabilities to customers worldwide.
Responsibilities
• Lead product definition for AI agent evaluation capabilities, owning the customer working backwards strategy, tenets, long term goals, and working backwards documents including customer and market feedback, competitive analysis, and business metrics to inform direction
• Define product vision including all aspects of future roadmap, investment, innovation, and experimentation for automated evaluation pipelines, human review workflows, and quality benchmarking tools
• Own execution of product planning and development including customer goals and business requirements for product releases, ensuring implementation is aligned with product goals, and ownership of product positioning
• Lead product launches owning GTM plans that deliver results ensuring customer and business goals are met in operational launch plans
• Create and revise GTM strategy and be responsible for pricing new features and updating pricing for existing features working closely with finance
• Work with field and BD teams to create customer funnel and drive POC to pilot to production motions
• Be responsible for creating and reporting on the service's revenue and customer traction through weekly and monthly business reports shared with leadership
• Partner with applied scientists and engineers to translate research into production grade product features
• Drive alignment across dependent teams (identity, observability, data platform) to ensure evaluation signals integrate seamlessly with the broader Core Services AI Foundations platform
• Lead interaction with the technical team including helping make tradeoffs based on customer requirements and QA/testing of the product
Qualifications
Minimum
• 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)
• Experience with machine learning or AI systems, including familiarity with model evaluation, testing methodologies, or quality assurance frameworks
• Demonstrated ability to write clear, detailed technical product documents (PR/FAQs, technical specifications, architecture diagrams) and drive engineering teams to consensus
Preferred
• MBA or advanced degree in a technical discipline
• Experience with LLM evaluation, AI safety testing, or automated quality assurance for generative AI systems
• Track record of building and launching evaluation or testing platforms at scale
• Experience working with applied scientists to productize research into customer facing features
• Familiarity with AWS services (AgentCore, SageMaker) and agentic AI frameworks (LangFuse)
• Strong track record of shaping business strategy for technical products or services for large enterprises or partners
• Prior experience bringing to life 0 to 1 AI powered offerings