Program Manager III, Strategic Initiatives Team

AI in this role

The NAMER Cloud Sales Center (CSC) is AGS's primary scale revenue engine and its most important talent developer, delivering $4B in revenue and ambitious annual growth. Early career talent sits at the heart of that engine: these sellers feed up to 60% of Field sellers and contribute an outsized share of CSC pipeline. This role owns the front door to that system.

As Senior Program Manager for Early Career Talent & Employer Brand, you own how CSC attracts, selects, and launches the next generation of sellers, and how the market sees CSC as the place to start a career in cloud sales. You will own the internship program, the co-op program, and the broader early-career strategy that shapes the caliber, diversity, engagement, and readiness of everyone who enters AGS through this door. This is a role that is strategic and tactical in equal measure: you will set multi-year strategy while running live cohorts that deliver measurable, in-year business impact.

You will join a team of senior program leaders in the CSC Strategic Initiatives Team, each owning a connected part of the talent flywheel — enablement, talent strategy and matriculation, platforms and data, and partner activation. You own the top of that flywheel and the employer brand that fills it. Success looks like a high-caliber, diverse, engaged early-career pipeline that converts faster, ramps faster, and strengthens CSC's competitive position for the next generation of GenAI-native sellers.

Key job responsibilities
• Own the early-career talent portfolio end to end: Connect the internship program, co-op program, and strategy into a single entry-point to the CSC’s integrated talent engine
• Own CSC's early-career employer brand and talent profile: Define who we attract and how we are seen, while treating the caliber, diversity, and engagement of incoming talent as a strategic lever
• Set strategy and run execution: Design the multi-year early-career model while owning live cohorts and their in-year pipeline and conversion outcomes
• Feed the talent flywheel: Partner with leadership on matriculation timing and workforce-planning inputs so early-career talent flows predictably into onboarding, development, and Field roles
• Set and hold the intake quality bar: Ensure new talent is prepared for full-time roles, accelerating time to productivity and increasing impact
• Prove impact with data: Collaborate with data teams to instrument early-career conversion, ramp, and diversity metrics to clearly articulate ROI
• Amplify through partners: Connect employer-brand moments and early-career events into the broader partner activation strategy so they reinforce the wider engine
• Operate with executive visibility: Represent early-career talent as a named pillar of the org's talent strategy, with regular exposure to senior leadership and Field partners

A day in the life
You start the morning reviewing conversion and pipeline data from the current cohort with the data team, then join a working session with talent-strategy leadership on matriculation timing for the next intake. Before lunch you are refining the co-op model and the employer-brand plan for the next campus season. In the afternoon you sync with enablement on the intake quality bar, align an upcoming early-career event with the partner team, and close the day preparing a readout for senior leadership on the two things that matter most this quarter.

About the team
Our team is focused on delivering programs that have broad impact across Amazon. We work collaboratively with leaders across AWS to solve problems at scale. We value clear thinking, thoughtful communication, and a willingness to challenge assumptions in pursuit of the best outcomes. As we continue to grow, we are building an inclusive team culture where every voice matters and where program managers have the opportunity to shape strategy and drive results that customers feel directly.

About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

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

- 4+ years of driving process improvements 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

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, TX, Austin - 115,600.00 - 160,000.00 USD annually
USA, VA, Arlington - 115,600.00 - 160,000.00 USD annually
USA, WA, Seattle - 115,600.00 - 160,000.00 USD annually

How we rate this

Program Manager III, Strategic Initiatives Team at Amazon rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.