Principal Technical Product Manager, Quick Sight - Structured Data Analytics (AWS)

Amazon Inc.; Seattle (WA); On-site; USD 181,000 - 245,000; Full time

Job summary

Amazon in Seattle is seeking a Principal Technical Product Manager for Quick Sight - Structured Data Analytics to own end-to-end product delivery of large-scale SaaS analytics capabilities, partnering with engineering, applied science, and design. You will drive customer journeys, governance, pricing thinking, and strategic narratives for leadership, while grounding decisions in data.

You will collaborate with GTM and sales teams to design onboarding pathways and growth motions, turning

Qualifications

• Experience delivering large-scale SaaS, PaaS or LaaS products from concept through GTM.
• 7+ years of working as a Technical Product Manager.
• 5+ years of technical experience in software development, networking, IT, or related fields.

Responsibilities

• Drive product delivery in deep partnership with engineering, applied science, and design.
• Own broad customer journeys from first contact through enterprise-wide adoption.
• Engage directly with enterprise customers, ISV partners, and AWS field teams.
• Directly contribute to business outcomes—adoption, revenue, and retention.
• Use data relentlessly to prioritize and communicate progress to leadership.

Skills

Technical Product Management

SaaS

Go-to-market

Job description

Principal Technical Product Manager, Quick Sight - Structured Data Analytics

Job ID: 10565140 | Amazon Development Center U.S., Inc.

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.

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. Veterans, military spouses, and people with disabilities are encouraged to apply.

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.

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

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