Senior Product Manager Technical, AWS Startups
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Job ID: 10376220 | Amazon Web Services, Inc.
Trusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world's largest companies. With nearly two decades of experience supporting hundreds of thousands of startups, including 80% of unicorns, we democratize cloud computing to help founders bring their innovative ideas to life.
The AWS Startups team builds innovative products and platforms that support startup customers throughout their journey—from initial onboarding and credit programs to migration tools and scale solutions. We partner with business development, field marketing, and solutions architecture teams worldwide.
We're seeking an experienced Senior Product Manager – Technical to drive innovation in our startup‐focused organization. You will spearhead the development of a groundbreaking data‐driven early signal detection system to identify high‐potential startups and build solutions to drive engagement with them. This is a unique opportunity to build a comprehensive data product that combines multiple data sources—including third‐party data, service usage patterns, architecture analysis, and best practice documents—to create predictive models that identify new opportunities.
Responsibilities
Own the product strategy and execution for a multi‐faced data product that identifies early signals from multiple data sources to flag high‐potential startups before traditional sales metrics catch them.
Predict customer workload evolution patterns by analyzing service usage, architecture diagrams, and best practices, anticipating future workloads.
Integrate seamlessly into sales workflows, embedding insights directly into pipeline reviews and account planning activities.
Own end‐to‐end product lifecycle from vision and strategy through development, launch, and iteration for the early signal detection system.
Drive product discussions (vision, goals, narratives) with executives, both technical and non‐technical.
Partner with data science teams to translate predictive models and data insights into actionable sales workflows.
Design and deliver sales workflow integrations that embed intelligence directly into existing tools used daily by field teams.
Work with engineering teams to integrate third‐party data sources and build scalable data pipelines.
Define success metrics and attribution models that connect data signals to sales outcomes.
Navigate complex cross‐functional relationships spanning data science, engineering, business development, field marketing, and solutions architecture across multiple geographies.
Drive prioritization decisions and influence senior leadership through data‐driven insights.
Align stakeholders including Business Development, Sales, Solution Architects, and Marketing.
Basic Qualifications
Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent.
5+ years of experience as a Technical Product Manager.
Experience owning and driving roadmap strategy and definition.
Experience driving feature delivery and managing trade‐offs of a product.
Experience contributing to engineering discussions around technology decisions and strategy.
Experience managing technical products or online services.
Experience representing and advocating for a variety of critical customers and stakeholders during executive‐level prioritization and planning.
Experience with cross‐functional teams and senior stakeholders.
Preferred Qualifications
Experience using analytical tools such as Tableau, QlikView, QuickSight.
Experience building and driving adoption of new tools.
Master's degree in Computer Science, Computer Engineering, Information Management, or a related discipline.
Experience delivering large‐scale SaaS, PaaS or LaaS products across the full product lifecycle.
Experience delivering complex, data‐driven recommendations to senior leaders.
Experience managing analytics, data science or technology teams with a product or insight focus.
Experience with CRM tools such as Salesforce or similar software.
Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
Knowledge of the startup ecosystem, venture capital landscape, and founder needs. xrdztoy
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.