Senior Product Designer to shape AI-driven billing experiences for AWS customers, ensuring trust, transparency, and control over cost estimates and payments.
Locations (2)
Seattle, Washington, United States
New York, New York, United States
Compensation
USA, NY, New York - 151,600.00 - 205,000.00 USD annually
USA, WA, Seattle - 137,800.00 - 186,400.00 USD annually
Responsibilities
Frame ambiguous problems before solving them, lead the work through launch, and define quality measures, including automated reviews of AI answers
Shape how customers understand pricing and estimate cost before they commit, turning complex pricing models into clear choices
Define how AI agents act on customers’ behalf, including autonomy, human approval, and undo actions
Design trust patterns that surface an agent’s confidence, reasoning, and attribution
Design conversations in a clear, trustworthy voice, explaining cost drivers and recovering from misunderstandings
Requirements
Nice to have: portfolio showcasing early-stage design
Nice to have: AI-powered or agentic experiences
Nice to have: delegation and human-in-the-loop patterns
Nice to have: trust patterns
Nice to have: prototyping in code using AI coding tools
Lead the product vision and roadmap for agentic AI initiatives across leading cloud platforms (GCP or AWS), acting as the liaison between customer needs, business strategy, and engineering delivery.
Locations (2)
Boston, Massachusetts, United States
Hingham, Massachusetts, United States
Compensation
Salary Range: $111,960.00 - $136,840.00
Responsibilities
Customer discovery and insights — Conduct user interviews, gather feedback from pilots and production deployments, run advisory boards with key customers to understand pain points, use cases, and desired agent capabilities
Define product strategy — Establish the vision and strategy for agentic AI products across cloud platforms; make intentional trade-offs between breadth (supporting multiple platforms) and depth (best-in-class on one)
Build and own the roadmap — Prioritize features, platforms, and integrations; balance customer requests, technical feasibility, competitive positioning, and business impact; communicate the roadmap clearly to stakeholders
Lead product strategy and execution for the Integrations & AI Foundations platform, driving API, MCP, document parsing, retrieval, and AI agent services.
Responsibilities
Set platform strategy and sequencing across five areas
Run APIs as a product: contracts, versioning, deprecation, rate limits, SLAs, Developer Portal and documentation
Define and launch the customer-facing MCP offering
Generalise document parsing for broader use
Shape retrieval and agentic layer as services with access control and guardrails
Define success metrics — Establish KPIs for agentic AI products; track agent adoption, task completion rates, cost efficiency, customer satisfaction, and time-to-value
Write clear requirements — Create detailed user stories, acceptance criteria, and specification documents that help the engineering team understand not just what to build, but why and for whom
Requirements
High school degree or equivalent
Nice to have: Experience shipping AI/ML products to production
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