About The Position

As a Product Manager – Technical (PMT III) for Marketing Insights, you will own customer experiences with considerable scope and complexity — managing a complete product suite within Amazon Ads Marketing Insights, requiring cross-team coordination across Data Engineering, Business Intelligence Engineering, Data Science, and Primary Research. You will work backward from the needs of internal marketers, advertisers, and partners to define and deliver products that automate and democratize access to high-quality marketing insights at scale. You will operate in ambiguous problem spaces where opportunity and strategy may not be fully defined, using your expertise and judgment to determine the right goals and design long-term solutions. This role requires enhanced technical depth characteristic of PMT — you must understand the core technologies within the data and AI/ML domain, recognize when technical design limits performance or scale, and evaluate technical proposals for extensibility and scalability. You will earn respect from senior engineers through technical judgment that meaningfully influences design discussions.

Requirements

  • 2+ years of end to end product delivery experience
  • 5+ years of technical product or program management experience
  • Bachelor's degree
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product
  • Experience with feature delivery and tradeoffs of a product
  • Experience owning/driving roadmap strategy and definition
  • 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

Nice To Haves

  • Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
  • Experience in building and driving adoption of new tools

Responsibilities

  • Define product vision (PR/FAQ), tenets, and three-year roadmap for your product area
  • Establish strategy in ambiguous problem spaces where opportunity and direction are not fully defined — using expertise and judgment to set the right goals
  • Work through business model implications to ensure products create sustainable value
  • Distinguish between one-way and two-way door decisions; drive rapid experimentation where possible while ensuring rigor for irreversible choices
  • Leverage AI capabilities to enable faster learning cycles, accelerate development, and unlock new forms of innovation
  • Understand the reasons behind product and feature architecture decisions — why systems were built this way, what assumptions were made, and whether they still hold
  • Recognize when technical design limits a product's performance, ability to scale, or ability to innovate for customers in the future
  • Evaluate technical proposals for extensibility, performance, and scalability; define technical requirements for APIs, data models, and algorithms where needed
  • Hold engineering teams to a high standard for product solutions; discern when to escalate to senior engineers or subject matter experts
  • Understand the impact of technical backlog on future product capability and how to prioritize operational excellence alongside feature delivery
  • Assess emerging technologies — including agentic AI — and evaluate when autonomous agent patterns enhance versus complicate product design
  • Earn respect from senior engineers through technical judgment that influences design discussions
  • Serve as Voice of the Customer by generalizing requirements from diverse personas (internal marketers, advertisers, partners) across your product scope
  • Interact directly with customers — watching them use what you've built rather than relying solely on secondhand research
  • Conduct or commission customer research and usability studies to distinguish surface-level requests from underlying problems that truly matter
  • Distinguish representative signal across your customer base from limited or anecdotal feedback
  • Build products that automate insights generation. reducing manual effort and enabling scalable, always-on insight delivery to marketing stakeholders
  • Drive end-to-end product lifecycle: from opportunity identification and PRFAQ through launch, adoption, and impact measurement
  • Handle complex product management scenarios with cross-team dependencies across DE, BIE, DS, and Primary Research
  • Define success criteria, KPIs, and metrics — distinguishing output metrics (e.g., adoption) from outcome metrics (e.g., time-to-insight reduction, campaign performance improvement)
  • Own launches and post-launch performance; monitor operational health and address issues with appropriate urgency
  • Take calculated risks in pursuit of breakthrough results
  • Collaborate across engineering, science, design, finance, marketing, and operations to deliver for customers
  • Influence without authority, building alignment across teams with different priorities
  • Produce clear, concise documents — PRFAQs, product specs, technical requirements, roadmap narratives
  • Contribute to OP1/OP2 planning for the GMI product roadmap
  • Mentor other product managers on PM best practices

Benefits

  • 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
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
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