Amazon Prime is seeking a hands-on, AI-native Program Manager to systematically eliminate manual coordination processes by building, deploying, and maintaining AI-powered automation tools. This is not a traditional program management role - you will spend the majority of your time building working AI agents and automation workflows, not writing status updates.
This role sits within the WW Prime Benefits, Pricing & Constructs (BPC) team and will own three interconnected charter areas: (1) building and deploying AI-powered automation tools that systematically eliminate manual coordination workflows across BPC's identified coordination points, with an initial focus on those that are business-coordination problems solvable without engineering investment; (2) owning a rolling automation roadmap with quarterly releases, measuring adoption and hours saved for every tool shipped, and iterating based on user feedback to drive adoption; and (3) building the automation layer that makes BPC's strategic programs scalable, ensuring coordination happens through tools rather than manual effort.
As an ideal candidate, you are a builder who thrives at the intersection of program management and AI-native execution, translating messy, manual coordination processes into working automation tools that deliver measurable time savings. You bring hands-on experience configuring AI agents, LLM-powered workflows, and no-code/low-code platforms, with the judgment to know when a tool is "good enough to ship" and the discipline to measure whether it actually gets used. You are comfortable navigating a complex stakeholder landscape of 10+ benefit partner teams and driving adoption through relentless iteration and simplification. You think big about how automation can make coordination unnecessary rather than merely more efficient, enabling BPC to scale its impact without scaling headcount.
Key job responsibilities
• Build and maintain AI-powered automation tools that replace manual coordination workflows across BPC's benefit partners, using LLMs, Slack integrations, and no-code/low-code platforms.
• Create automated intelligence systems that monitor cross-team communications, product launches, and roadmap changes across 10+ partner teams, delivering actionable digests to leadership without manual research.
• Build and maintain self-updating knowledge systems (contact rosters, org graphs, metric definitions) that eliminate reliance on tribal knowledge and reduce time spent tracking down owners and resolving data inconsistencies.
• Deploy program tracking and governance automation that nudges goal owners at cadence, flags overdue items, auto-generates progress reports, and detects definition drift across 300+ metrics before it reaches business reviews.
• Own and publish a quarterly AI Automation Roadmap with adoption tracking, hours-saved measurement, and iteration plans for each tool shipped.
• Drive adoption of each tool to target users through demos, onboarding, feedback iteration, and relentless simplification; measure and report impact including tools shipped, adoption rates, and coordination points automated
BASIC QUALIFICATIONS
- 3+ years of program or project management experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- Experience using data and metrics to determine and drive improvements
- Experience working cross functionally with tech and non-tech teams
- Bachelor's degree
- Experience in building and driving adoption of new tools
- Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
- • Hands-on experience building automation workflows using AI tools (chatbots, LLM agents, workflow automation platforms, no-code builders, or equivalent)
PREFERRED QUALIFICATIONS
- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
- Experience working with diverse or differing data sets including creating and compiling data into a final distribution for management consumption
- Experience building AI agents or LLM-powered automation (prompt engineering, RAG systems, or agent frameworks)
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.
USA, WA, Seattle - 82,700.00 - 129,800.00 USD annually
