What happens when you hand a product manager the keys to an AI-first team that opperates like a start up at Amazon scale? They build the future of security. Want in? Amazon Enterprise Security Products is a newly launched group building intelligent, cloud-agnostic security tools where AI isn't a buzzword on a roadmap slide - it's how we think, build, and ship. We need a Product Manager - Tech who can move at startup speed, obsess over customers, and shape products that don't exist yet, all at a scale most startups only dream about. This is not a "write requirements and wait" PM role. You'll be in the room (and in the code reviews) with engineers, security researchers, and applied scientists, turning ambiguous customer problems into shipped products. You'll define what we build, why we build it, and how fast it gets to customers. Short feedback loops. Real ownership. No layers between you and the impact.
Key job responsibilities
* Own product strategy and vision end-to-end: Define and drive the roadmap for AI-powered security products from zero-to-one and beyond. You're not inheriting a backlog; you're creating the product direction for a team that's building the future of enterprise security tooling.
* Be the customer obsession engine: Deeply understand the security practitioners, CISOs, and enterprise teams we serve. Conduct ongoing customer research, validate hypotheses fast, and translate pain points into products people actually want to use not just products they're told to use.
* Drive AI-first product thinking: You don't need to write the model, but you need to understand what agentic architectures, conversational interfaces, RAG pipelines, and multi-agent orchestration make possible; and translate that into product experiences that feel like magic to customers. Stay ahead of what's emerging and experimental; bring the "what if we could..." energy every day.
* Ship like a startup, plan like a strategist: Lead implementation planning, prioritization, and phased rollouts alongside engineering. Write crisp product requirements that drive agentic development processes, define use cases and KPIs, and drive the hard tradeoff conversations. You own outcomes with the autonomy and accountability that comes with a high-trust, small team.
* Partner across disciplines with zero friction: Work shoulder-to-shoulder with engineers, applied scientists, UX designers, security researchers, and leadership. Small team means your voice shapes direction immediately. The best idea wins here, regardless of title or tenure.
* Prototype, validate, iterate - relentlessly: Bring a builder's mindset to product management. Leverage AI tools and techniques (yes, even the experimental ones) to accelerate research, synthesize insights, generate artifacts, and move faster than any PM org you've been part of before.
* Define the multi-cloud, cloud-agnostic story: Understand and synthesize security technologies across AWS and competing cloud environments. Our customers operate everywhere, your product strategy needs to protect them wherever they are.
* Build the product culture from the ground floor: You're not joining a mature PM org, you're helping define what product management looks like on a fast-growing, AI-first team. Establish the rituals, the frameworks, and the bar. In the process, you become the kind of PM who has shaped a product category, scaled a team, and defined how modern security software gets built.
A day in the life
No two days look the same and that's the point. You might start your morning reviewing customer interview notes and reshaping a feature spec using AI-assisted writing tools, then jump into a design session where your product instincts collide with a principal engineer's architecture vision (and something better emerges). After lunch, you're demoing a prototype to a customer, pressure-testing assumptions in real time. By end of day, you've reprioritized a sprint based on what you learned, drafted a strategy doc for a new capability no one's built before, and pinged the team with three ideas you had on your walk. Your work reaches production fast and you see customers react in real time, not quarters later.
BASIC QUALIFICATIONS
- Experience owning/driving roadmap strategy and definition
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- 5+ years of non-internship product management experience in commercial B2B technical products or online services
- Experience managing feature delivery, tradeoffs, and prioritization across cross-functional teams
- Experience managing customers in early beta
- Experience with SaaS and enterprise security products
- Familiarity with AI-first development practices, agentic architectures, or conversational AI product experiences
PREFERRED QUALIFICATIONS
- Experience with AI/ML technologies
- Experience launching 0-to-1 products in ambiguous, fast-moving environments
- Experience using AI tools to accelerate product management workflows (research synthesis, spec generation, competitive analysis, etc.)
- Experience making architectural tradeoff decisions alongside engineering teams
- Experience with analytical 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, TX, Austin - 151,200.00 - 204,600.00 USD annually
