Are you passionate about shaping the future of Advertising Sales? The Sales AI team is seeking a Senior Product Manager - Technical (PMT) to lead product strategy and execution for Sales Recommendations, the platform that powers actionable, data-driven recommendations for Amazon Advertising account teams worldwide.

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Within the Advertising Sales organization, Sales AI is building the next generation of intelligent tools that transform how account teams operate and how advertisers achieve success.

As a Sr. PMT on the Sales AI team, you will own the product vision, strategy, and roadmap for Sales Recommendations, the systems that surface high-impact opportunities to account teams, enabling them to deliver guidance to advertisers at scale. You will define what recommendations we generate, how they are prioritized and delivered, and how account teams and advertisers consume and act on them to drive measurable business outcomes.

This role sits at the intersection of product strategy, data science, and sales enablement. You will work backward from the needs of account teams and advertisers to build scalable recommendation experiences, from proactive opportunity identification to real-time, reactive recommendations tailored to advertiser goals. You will partner closely with Software Engineers, Applied Scientists, and cross-functional stakeholders across Sales, Product, and Go-to-Market teams to translate complex recommendation logic into intuitive, high-impact product experiences.

The ideal candidate combines deep product instincts with strong analytical skills, thrives in ambiguity, and has a track record of building and scaling products that drive measurable business impact. Experience in advertising or sales technology is highly valued.

Key job responsibilities
- Define the product vision, tenets, and multi-year roadmap for recommendations spanning enterprise brands to growth advertisers, driving strategic clarity on what to prioritize and how to solve amid fundamentally different advertiser needs and ambiguous trade-offs.
- Serve as Voice of the Customer by engaging directly with account teams to understand how recommendations are consumed and acted upon, shaping product decisions accordingly.
- Define what makes a recommendation actionable, timely, and high-value by establishing clear quality standards for relevance, prioritization, and measurable business impact through success metrics and KPIs that capture true outcome impact such as advertiser revenue growth and account team efficiency.
- Drive end-to-end product lifecycle from opportunity identification and PR/FAQ through launch, adoption, and continuous improvement, owning delivery across complex cross-team dependencies.
- Engage with the technical architecture of recommendation systems including data pipelines, scoring models, and delivery mechanisms, evaluating engineering and science trade-offs to ensure solutions are scalable, extensible, and high quality.
- Drive experimentation and data-driven decision making through A/B testing and analysis to validate recommendation effectiveness, iterating rapidly to improve relevance and impact.
- Influence without authority across Engineering, Applied Science, Design, Sales, and Go-to-Market teams to shape recommendation solutions, drive cross-functional alignment, and deliver results.
- Contribute to OP1/OP2 planning and produce clear, concise documents including PR/FAQs, product specs, technical requirements, and roadmap narratives.