Sr Technical Program Manager, Selling Partner Trust
Amazon is hiring a Sr Technical Program Manager, Selling Partner Trust. It pays $149k-$201k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
- Posted in the last few days.
AI in this role
As a Senior Technical Program Manager, you'll identify, scope, and deliver end-to-end solutions in a fast-paced, innovative environment. Success requires building consensus, driving results, and balancing business needs with technical constraints. You'll break down complex projects into manageable pieces while maintaining high standards for execution.
If you're passionate about solving trust and security challenges at scale while impacting millions of selling partners globally, we'd like to talk to you.
Key job responsibilities
- Define and manage the lifecycle of complex cross-functional programs, setting clear objectives, measurable success criteria, and long-term strategy while driving teams inside and outside your organization to deliver.
- Partner with engineering teams and business stakeholders to prioritize initiatives, align on requirements, and make smart trade-offs between time, effort, and features to keep programs on track.
- Identify and mitigate risks proactively by overseeing gaps between teams, processes, and system architectures, reducing exposure to common failure modes such as unclear requirements, insufficient testing, or ineffective cross-team collaboration.
- Leverage your technical judgment to evaluate system designs, question assumptions, and ensure architectures will scale to meet business needs, incorporating generative AI tools where appropriate to improve productivity and quality.
- Communicate program progress and outcomes effectively through written narratives and executive presentations, building alignment across Directors and VPs while resolving conflicting viewpoints through collaborative decision-making.
A day in the life
You will start your day reviewing program metrics and status updates, then move into working sessions with engineering teams to unblock dependencies and refine technical approaches. You will facilitate alignment discussions with stakeholders across multiple organizations, draft program documents that bring clarity to complex decisions, and use data to adjust priorities in real time. You will also mentor other program managers, contribute to organizational roadmaps, and assess development processes to help teams improve how they deliver.
About the team
Our team is focused on building technology solutions that create meaningful impact for Amazon's customers and partners at scale. As our team name suggests, we build solutions that enables trust in our selling partners and to do that we leverage AI native development and tooling to build scalable solutions to enable seamless onboarding and enable a zero touch experience to self remediate , therefore help them growing their businesses without interruption. We operate in a collaborative, fast-paced environment where technical program managers work closely with engineers, scientists, product, program and business teams to turn ambitious ideas into real products and services. We value clear thinking, thoughtful communication, and a willingness to tackle hard problems. If you are looking for a role where your work directly shapes strategy and execution across the organization, this is the team for you.
Basic qualifications
- 7+ years of working directly with engineering teams experience
- 5+ years of technical product or program management experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
Preferred qualifications
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
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, AZ, Tempe - 148,700.00 - 201,200.00 USD annually
How we rate this
Sr Technical Program Manager, Selling Partner Trust at Amazon rates 27 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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