Senior Program Manager, Special Projects & Investigations

The Special Projects & Investigations team is looking for a motivated, data-savvy program manager to act as a force multiplier on our team's discoveries about fraud and abuse. This position will manage a worldwide, SVP level goal and drive initiatives to reduce bad actors on the store within our team and across the org.

You will interact with partners in product, risk, tech, and science roles in order to execute against your programs. An ideal candidate is highly flexible, a strong communicator, demonstrates significant bias for action, and loves learning.

You will govern the team's strategy for pursuing bad actors earlier in the lifecycle, including managing a roadmap of mitigations tied to detection products, coordinating individual and scaled investigations, and organizing the team to mitigate risk from bad actors and close gaps. This role substantially drives the narrative and influences prioritization of teams across the stores business to mitigate bad actor risk.

In addition, you will run business operations for the 3PS team, such as owning and executing our Objectives and Key Results (OKR) process to ensure all components of the team are aligned against our overall strategy. You will partner closely with risk managers, technical investigators, and team leaders who develop the detection signals and findings that feed your programs.

These teammates are highly motivated, invested in enabling you to succeed, and leaders in our organization.

The Customer & Partner Trust (CT) organization's mission is to keep Amazon stores safe and trustworthy for our buyers, brands and selling partners, by enabling our selling partners to provide great CX while ensuring bad actors are kept out of our stores.

The Special Projects & Investigations (SPI) team protects Amazon’s WW stores by creating projects and programs focused on the detection of abuse at its earliest point and identifying the root causes, vulnerabilities or exploits to systematically address to prevent future abuse.

We search out highly skilled candidates who move fast, have an entrepreneurial spirit to create new solutions, a tenacity to get things done, thrive in an environment of ambiguity and change, and are capable of breaking down and solving complex problems. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully.

The combination of our unique backgrounds and perspectives strengthens our ability to achieve Amazon's mission of being Earth's most customer-centric company.

Key job responsibilities

• Govern the team's overall strategy for pursuing bad actors earlier in the seller lifecycle, managing a roadmap of mitigations tied to detection products.
• Drive cross-org coordination against the goal by understanding partner team roadmaps, quantifying their expected impact, and influencing prioritization across the stores business.
• Own the organization's top-line goal for bad actor sellers end-to-end, from annual goal setting to recurring business reviews and monthly VP-level updates, including path-to-green planning if the goal falls behind target.
• Develop executive-level communications (QBR narratives, goal updates, strategic recommendations) that drive leadership decisions and shape organizational direction.
• Define monitoring frameworks and success metrics in partnership with analytics, connecting workstream performance to org-level goal movement.
• Design and execute the team's OKR process, ensuring alignment against strategy, leadership visibility, and team clarity on objectives.
• Provide governance over individual and scaled investigations, ensuring efforts align with strategic priorities and surface signals that inform the detection roadmap.
• Influence at the organizational level, removing roadblocks, escalating effectively, and driving alignment across business, science, and tech partners.

A day in the life

• Dig into the data to understand how bad actors are evolving, where our mitigations are working, and where gaps are emerging.
• Shape the strategy by evaluating new mitigation opportunities for impact and feasibility, then prioritizing what the team pursues next.
• Connect the dots across teams in product, science, and tech to understand how their roadmaps move the needle on bad actor reduction and influence what gets built.
• Tell the story through executive narratives, goal updates, and strategic recommendations that drive decisions and resource allocation.
• Learn from investigations by reviewing findings from individual and scaled investigations, and multiply their impact by turning discoveries into action
• Keep the team aligned through lightweight OKR mechanisms that give everyone clarity on what matters and why.

About the team

Our team is comprised of practitioners of fraud and abuse prevention, working to understand bad actor ecosystems using threat intelligence analytics and technical skills. We complement specialized industry skills with broad risk intuition gathered through experience to deliver results - we wear a lot of hats and take ownership of hard to solve problem areas whenever possible.

We speak 12 languages, write code in 3 (mostly self-taught, on the job), operating on the frontier of AI use in our domain, and celebrate learning and taking risks. We encourage experimentation and curiosity while supporting each other to constantly learn and grow.

Our work is to solve hard puzzles and identify what hasn’t already been discovered - typically with data and always with a lot of persistence and curiosity. If you like the sound of that, come join us.

BASIC QUALIFICATIONS

• 5+ years of program or project management experience
• Experience using data and metrics to determine and drive improvements
• Experience owning program strategy, end to end delivery, and communicating results to senior leadership

PREFERRED QUALIFICATIONS

• 3+ years of Business strategy or Non-Tech Program Management experience
• Knowledge of general AI tools
• Experience designing, implementing, and scaling upskilling, apprenticeship, or workforce development programs across large-scale operations or corporate environments, including forecasting workforce needs and leveraging analytics to drive program decisions
• Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
• Master's degree, or MBA in management, business administration, economics, engineering, marketing
• 2+ years of using SQL to extract and manipulate data experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

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 - 115,600.00 - 160,000.00 USD annually