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. Basic Qualifications: - 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 Preferred Qualifications: - 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
• [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, 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
• [https://amazon.jobs/en/benefits].

USA, WA, Seattle - 181,100.00 - 245,000.00 USD annually