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Amazon

Sr. Technical Program Manager

Amazon is hiring a Sr. Technical Program Manager in Bellevue, United States. It pays $149k-$201k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Ring is looking for a Sr. Technical Program Manager to deliver cross-functional programs and lead the growth of business across multiple sales channels & geographies. In this role, you will be a highly visible leader that will own the communication, coordination, and execution full-lifecycle programs. You will engage with senior product and engineering leaders to define and drive the execution of roadmaps, plan for dependencies, budget for and secure resources to ensure the meeting of agreed upon deliverables and timelines. You will define processes that improve teamwork, communication, collaboration, and commitment across multiple disparate groups with competing priorities

Key job responsibilities
* Lead multiple, complex cross-functional initiatives simultaneously from initiation through delivery. Involves — anticipating bottlenecks, providing escalation management and communicating status broadly across all levels
* Make tradeoffs while balancing the business needs with technical constraints
* Work closely with product and engineering teams to define near term and long term product roadmap
* Create mechanisms to drive timely, accurate, and comprehensive project execution. Create clarity, eliminate obstacles and drive issue resolution to ensure deliverables & timelines are met. Drive continuous improvement efforts to ensure delivery mechanisms get better over time
* Serve as a trusted advisor to product and engineering team


Basic qualifications

- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams 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

- 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, WA, Bellevue - 148,700.00 - 201,200.00 USD annually

How we rate this

Sr. Technical Program Manager at Amazon rates 36 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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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