Principal Technical Product Manager, Quick Sight - Structured Data Analytics

Amazon Quick is a decision intelligence service for the AI era. Today, thousands of enterprises and millions of users rely on Quick to connect their data, generate insights, and turn decisions into action — whether through interactive dashboards, embedded analytics woven into the products their customers use, natural language experiences that let any knowledge worker ask a question and get an answer they can act on immediately or fully managed tools that they can build and deploy for their stakeholders. 1000s of ISVs and SaaS companies have already built Quick into the fabric of their applications, powering experiences for millions of end users who benefit from intelligent, data-driven products. That is the kind of reach we operate at — and we are just getting started. We are now at an inflection point. The convergence of structured data analytics, natural language interfaces, and agentic AI is rewriting the rules of what a decision intelligence service can do — not just for analysts, but for every knowledge worker in an enterprise. Quick sits at the center of this shift. We're building the service that lets an enterprise analyst build a governed dashboard in minutes, an ISV embed AI-powered analytics into their product with a few API calls, and a business leader ask a question in plain English and receive an insight they can turn into action before the day is over. The same service. The same governed data. One experience that scales from a single user to an entire organization — unlocking productivity, surfacing new opportunities, and accelerating businesses that are powered by data. We are hiring a product leader for structured data analytics product team to own critical parts of this journey. This role spans some of the most consequential product areas in cloud analytics and decision intelligence today: The data and intelligence foundation — how enterprises bring structured and unstructured data together under a unified semantic and governance layer that powers both BI reporting and AI-driven insights that turn into action. Embedding and ISV enablement — how thousands of companies build differentiated, analytics-rich products on top of Quick's capabilities, and how we make that experience so seamless it becomes the default choice for every builder. Business model and growth strategy — how we design packaging, pricing, and adoption pathways that make it effortless for customers to start, experiment, and scale with us — turning first deployments into enterprise-wide commitments. What unites these roles is a shared profile: a deeply technical product leader who is equal parts strategist and practitioner. Someone who can see the three-year arc of a market and then roll up their sleeves to ship the next release. Someone who works backward from the customer's deployment — not from a requirements document — and who measures their own success by whether the customer succeeded. Someone who sees a nascent, fast-growing business not as a risk but as a canvas. Quick is a business that is growing, evolving, and actively being shaped by the people on this team. You will have a direct and visible thumbprint on a service that is becoming the decision intelligence layer for enterprises and AI-powered products alike. The decisions you make — about what we build, how we package it, who we build it for, and how we bring it to market — will define how thousands of organizations and millions of knowledge workers experience data, make decisions, and take action in the age of AI. If you are a builder who gets energy from ambiguity, who thinks in systems but ships in increments, and who wants to be at the frontier of where decision intelligence meets artificial intelligence — we want to talk to you. Key job responsibilities - Drive product delivery in deep partnership with engineering, applied science, and design. Drive product specifications, make crisp tradeoff decisions, and ensure high bar on the quality and user experience - Be hands-on with the technology. Whether that means understanding how a semantic model resolves a natural language query, how an embedded analytics SDK integrates into a partner's React app, or how a pricing SKU flows through AWS billing — you operate at the level of detail where real product decisions are made. - Own broad customer journeys from first contact through enterprise-wide adoption for critical engagement. Partner with GTM and Sales teams to design onboarding pathways, migration playbooks, and growth motions that reduce friction, accelerate time-to-value, and turn successful deployments into organization-wide productivity gains. - Engage directly with enterprise customers, ISV partners, and AWS field teams. Turn what you hear into product conviction — not just feature requests, but insight into where the market is moving and what customers will need before they know to ask for it. - Directly contribute to business outcomes — adoption, revenue, competitive win rates, customer retention. Use data relentlessly to prioritize, to make the case for investment, and to communicate progress to senior leadership. A day in the life You might start your morning reviewing customer adoption metrics and operational dashboards, then shift into a working session with engineering and design partners to refine an upcoming feature launch. After lunch, you could be authoring a technical white paper or preparing a strategic narrative for leadership review. Later, you may lead a session with C-suite Data and AI executives on how their enterprise data can be turned into business outcomes using AWS analytics. Throughout it all, you bring clarity to tough trade-offs and ensure every stakeholder has the context they need. About the team Our team is focused on building and evolving externally facing services that empower businesses of all sizes to succeed. We operate with a strong sense of ownership and collaborate closely with science, research, engineering, design, marketing, and sales partners to deliver AI powered products that customers love and see how they can accelerate business value. We value decisiveness, curiosity, creative problem-solving, and a commitment to raising the bar for one another while being deeply technical and obsess about working backwards from customer problems. - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) - 7+ years of working as a Technical Product Manager experience - 5+ years of technical (software development, network development, IT, other related) experience - Experience leading 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 - * Experience building AI powered analytics and large data solutions preferably in a SaaS, PaaS product. - * Experience with SaaS pricing for ML/AI powered products Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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, prescri