Sr. Product Manager Technical, Deal Tooling & Insights, Strategic Customer Engagements, AWS GDSP Other

About the role

Are you passionate about driving product innovation and leveraging new technologies like generative AI to transform how AWS delivers value to customers? Do you want to have a direct impact on strategic deal-making and shape the future of cloud adoption? Are you excited to blend technical expertise with product strategy to solve complex business challenges?

We are seeking a highly skilled Senior Product Manager - Technical to own the development of new features that improve efficiency across the organization. You will work closely with stakeholders to prioritize features and capabilities that scale our ability to improve inspection and defect identification through automation and AI-driven solutions. The ideal candidate is a strategic, metric-driven thinker with deep technical expertise, a passion for learning new skills, and experience in cloud-based or AI-driven product management. Successful candidates must have the ability to collaborate effectively across multiple technical and non-technical business units to deliver against the highest standards. The ideal candidate will have strong technical skills paired with business acumen and be detail-oriented with excellent analytical and problem-solving skills. A keen sense of end-to-end ownership, drive, and scrappiness is a must.

Responsibilities

• Own the entire lifecycle of new product feature development, from initial concept through launch and beyond, ensuring continuous improvement through data-driven iteration and stakeholder feedback.
• Leverage both product management expertise and technical skills to understand complex business requirements, design innovative solutions, and develop generative AI-powered features that deliver measurable business impact.
• Lead the technical development of new product features, including hands-on contribution to development efforts, particularly in areas involving generative AI implementation and integration.
• Collaborate with Data Engineers, Product Managers, and other stakeholders to define success metrics, measure product performance, and quantify the business impact of new features and capabilities.
• Translate complex technical concepts into clear, compelling communications for senior leadership.
• Proactively identify and implement innovative solutions to enhance operational efficiency and scalability, continuously improving the team's capabilities and output.
• Prioritize features, experience enhancements, bug fixes, and simplify tech landscape in a fast-paced, complex environment.

About the team

At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with new technologies and global clients.

Requirements

• Bachelor's degree
• 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 managing technical products or online services
• Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

Qualifications

• Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
• Experience in building and driving adoption of new tools
• Experience using data and metrics to drive actionable insights at scale
• Experience with AWS services or other cloud offerings
• 3+ years of hands-on technical experience in software development, data science, or related technical field
• Experience in the application of AI to drive operational efficiencies and speed to insights

Pay

Base salary ranges by location (annual USD):

• USA, CA, San Francisco: $173,900 – $235,200
• USA, GA, Atlanta: $151,200 – $204,600
• USA, IL, Chicago: $151,200 – $204,600
• USA, MA, Boston: $151,200 – $204,600
• USA, NY, New York: $166,300 – $225,000
• USA, TX, Austin: $151,200 – $204,600
• USA, TX, Dallas: $151,200 – $204,600
• USA, VA, Arlington: $151,200 – $204,600
• USA, VA, Herndon: $151,200 – $204,600
• USA, WA, Seattle: $151,200 – $204,600

Compensation package includes sign-on payments and restricted stock units (RSUs). Final compensation determined by experience, qualifications, and location.

Benefits

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.

Job ID: A10584239 | Company: Amazon Web Services, Inc.