4 дня назад
Principal Product Manager, Tech, AWS Neurosymbolic AI
197 900 - 267 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Product Manager, Tech, AWS Neurosymbolic AI (AI/formal verification): Defining and bringing to market products that combine neural networks with formal verification engines to make AI-generated code and autonomous agents trustworthy, correct, and safe with an accent on product vision, roadmap ownership, and customer-focused packaging. Focus on translating research into scalable SaaS, PaaS, or IaaS products, shaping pricing and go-to-market strategy, and solving complex AI trust and correctness challenges.
Location: Seattle, Washington, USA, or New York, New York, USA
Base salary: $179,900–$243,400 annually in Seattle; $197,900–$267,800 annually in New York.
Company
develops cloud and AI products, including AWS services for automated reasoning, formal verification, and trustworthy artificial intelligence.
What you will do
- Define and own the product vision and roadmap for formal verification and neurosymbolic AI products.
- Understand customer needs related to AI trust, correctness, safety, and autonomous systems.
- Translate research in formal methods and neurosymbolic AI into accessible products for developers, security teams, and enterprises.
- Prioritize near-term customer outcomes and long-term platform investments across a portfolio of initiatives.
- Define pricing, packaging, launch, and go-to-market strategies with AWS leadership.
- Partner with science and engineering teams and engage directly with enterprise CISOs and developers.
Requirements
- 5+ years of technical experience in software development, network development, IT, or a related field.
- 5+ years of experience with enterprise-scale infrastructure or development-based cloud programs and projects.
- 6+ years of experience as a Technical Product Manager.
- Experience defining products and bringing them to market with engineering and product teams.
- Experience delivering large-scale SaaS, PaaS, or IaaS products across the full product lifecycle, from concept through go-to-market.
- Experience with AI/ML, formal verification, program analysis, constraint solving, or theorem proving is relevant to the role.
Culture & Benefits
- Work alongside researchers and engineers working at the intersection of AI and formal reasoning.
- Opportunities to attend and publish at leading conferences and collaborate with university research partners.
- Flexible work arrangements and an emphasis on work-life balance.
- Benefits include health insurance, 401(k) matching, paid time off, parental leave, flexible spending accounts, and mental health support.
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