Senior Technical Product Manager

Who you are

• Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
• 2+ years of team management experience
• 5+ years of technical product management, program management or engineering experience
• Experience owning/driving roadmap strategy and definition
• Experience with feature delivery and tradeoffs of a product
• Experience contributing to engineering discussions around technology decisions and strategy related to a product
• Experience developing, deploying and managing AI products at scale
• Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
• Knowledge of GenAI applications (LLMs, agentic architectures, RAG) in enterprise product contexts
• Prior experience assessing when GenAI capabilities enhance versus complicate product design

What the job involves

• We're looking for a Senior Technical Product Manager to lead the Product-Tech function within Prime Video's US Planning & Audience Insights team. This team defines Prime Video's audience objectives and delivers the customer intelligence, analytics, and AI-powered solutions to optimize the PV US customer experience
• You'll own the product vision and technical roadmap for a portfolio of AI-powered tools and data platforms that shape the end-customer experience — directly influencing what content millions of Prime Video customers discover, when they see it, and how it's personalized to their preferences
• Your products will drive measurable improvements in customer engagement, retention, and content satisfaction by powering smarter programming decisions, audience targeting, and marketing optimization
• You'll develop deep expertise in how content programmers, marketers, and leadership make decisions — spending time observing their workflows firsthand, identifying unarticulated needs, and translating those insights into product direction
• You'll work shoulder-to-shoulder with data engineers, data scientists, and BI/analytics teams to bring that vision to life. You will also manage a small team of product managers
• Own the product strategy and roadmap for a portfolio of customer-impacting tools spanning release planning, experimentation automation, GenAI-powered content analysis, and audience segmentation — from vision through delivery
• Define clear product tenets, make deliberate "what not to build" decisions, and measure success by downstream impact on viewer engagement, content performance, and audience growth
• Drive the team's AI strategy: GenAI-powered content gap identification, natural language data interfaces, automated experiment analysis, and AI-generated dashboard summaries
• Develop recognized segment expertise across Prime Video's internal customer base (content programmers, marketers, audience strategists) — building a structured discovery cadence and "voice of the customer" mechanism that regularly surfaces insights which change the roadmap, including deciding what NOT to build based on direct observation of workflows and unarticulated needs
• Own audience infrastructure products including demographic prediction models and audience segmentation frameworks that power PV's growth strategy — closing the loop between internal tool usage and end-customer behavioral outcomes
• Act as the primary product owner across a team of data engineers, data scientists, researchers, and BI engineers — defining the product vision that drives their work, setting success metrics, and influencing execution priorities through strategic clarity rather than positional authority
• Partner with an SDE team to define requirements, prioritize the backlog, and ship features for the team's flagship planning tool — acting as the primary product voice for a platform used daily by content programmers and leadership
• Lead cross-functional programs spanning analytics, research, data science, marketing, and programming stakeholders — grounding product direction in direct observation of customer workflows, and translating unarticulated needs into clear product requirements
• Establish a structured discovery cadence that regularly surfaces insights which change the roadmap
• Establish audience intelligence standards (e.g., segmentation taxonomy, experimentation governance frameworks) adopted by teams beyond US Planning & Audience Insights — positioning your products to an audience across Prime Video US
• Shape VP-level decision-making through QBRs, CPRs, and roadmap reviews — proposing and defending strategic trade-offs (including what to deprioritize or kill), not just reporting status. Influence organizational priorities beyond the immediate team