Sr. Technical Program Manager, Enterprise Productivity - Communicate & Connect
Amazon is hiring a Sr. Technical Program Manager, Enterprise Productivity - Communicate & Connect in Dublin, Ireland. Level rates it ; you can apply on Level.
AI in this role
Drive the AI-native SDLC transformation and program manage communication services as a Sr. Technical Program Manager.
First, you will partner closely with EP’s Principal Engineer for AI-native software development. Together you will turn a cross-cutting technical vision into a governed, measurable delivery program across 50+ services. Second, you will be the umbrella TPM for the whole org. You will own the single mechanism we use to track, report, and drive business deliverables, including our business reviews and long-term operational planning.
A successful candidate will also demonstrate:
• Comfort working with org-wide scope and high ambiguity, across first-party services and third-party SaaS platforms
• Ability to think strategically about a multi-year transformation while executing methodically week to week
• Enough technical depth to engage credibly with Principal Engineers on architecture, dependencies, and adoption
• Data fluency, using metrics and hard data to back up status, risks, and recommendations
• Clear, concise writing for Directors and VPs in Amazon narrative format
• An owner’s mentality and willingness to dive deep and do whatever is needed to deliver
Key job responsibilities
In this role:
- You partner with EP’s Principal Engineer to program-manage the AI-native SDLC transformation, including spec-driven development, AI-assisted code generation, automated testing, and intelligent CI/CD. You track adoption across Dublin teams and other locations.
- You coordinate delivery across the Principal Engineer’s principal-level workstreams: AI agent governance, email security modernisation, vendor API reliability and observability, and AI-native SDLC. You keep cross-team dependencies, decisions, and risks visible and on track.
- You own the business operating cadence for the entire Communicate & Connect org. You run business reviews end to end, including the narrative, the metrics, and putting the documents together.
- You build and maintain one deliverables tracker across every service. It maps commitments to goals, status, and risk, and you use it to hold teams accountable to dates.
- You combine team-level plans into the pillar’s operation plans and goal submissions, so EP leadership sees one coherent story.
- You lead cross-service programs spanning email, Slack, Zoom, and telephony. You influence priorities without direct authority and make data-backed cases for sequencing and resourcing.
- You spot delivery and operational risks early and bring them to leadership with mitigation plans before they become blockers.
- You are a simplifier. You add, refine, and retire mechanisms so teams spend less time on process and more on delivery.
- You take part in hiring and mentoring other TPMs and engineers on program management best practices.
A day in the life
In a typical week you might sync with the Principal Engineer on AI-native adoption progress and blockers, run a cross-service dependency review, pull metrics from service owners to update the deliverables tracker, and draft the pillar’s MBR narrative for EP leadership. You will move between deep technical conversations and executive business reviews, often on the same day.
About the team
Communicate & Connect is part of Enterprise Productivity, which owns crucial productivity services that power how more than a million Amazon employees create, communicate, collaborate, and operate. Our pillar puts messaging, meetings, voice, and email under one owner so customers never feel the seams between services.
We are working toward the EP vision, “Amazonians make the decisions. Our tools do the rest.” To get there, we are unifying the operational layer and applying one autonomous-operations playbook across email, Slack, Zoom, and voice. Our Dublin hub is EP’s largest engineering site outside the US and is central to this transformation. We value diverse perspectives and an inclusive culture grounded in Amazon’s Leadership Principles.
Basic qualifications
- Experience in technical program management working directly with software engineering teams
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Bachelor's degree or equivalent in a related technical field
- Experience in leading complex, large-scale, IT, technical or engineering programs
- Experience communicating complex information and solutions to senior stakeholders and influencing decisions, or experience working in a fast-paced and ambiguous environment
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Experience owning a business operating cadence (e.g., business reviews and operation planning) and presenting results to senior leadership
Preferred qualifications
- 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
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience as a mentor, tech lead or leading an engineering team
- Experience communicating with a wide range of stakeholders, including colleagues and leadership, or experience with Microsoft Office products and applications
- Experience prior success in driving execution of large-scale project plans with multiple teams in support of business goals
- Experience using data and metrics to influence senior leadership and drive organizational change
- Experience with program management disciplines including scope, schedule, risk, and critical-path management
- Experience working across both first-party services and third-party SaaS platform integrations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.
How we rate this
Sr. Technical Program Manager, Enterprise Productivity - Communicate & Connect at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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. Open the description and count.
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Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where ai native sdlk was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
- Tell me about a project where technical roadmap was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Program Management, AI Native Sdlk, Stakeholder Management, and Technical Roadmap. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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