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Principal Technical Program Manager, PXT Central Science

Amazon.com Inc
  • Seattle, WA
    4 days ago

    Job Description

    We are seeking a Principal Technical Program Manager to drive complex, cross-team measurement-science initiatives from definition through delivery. This is a high-impact, high-autonomy role for someone who thrives in ambiguity, can create structure where none exists, and can force-multiply across many teams and organizations to land significantly complex technical programs.

    This is a technical program role that demands technical depth in science and software engineering. You will bring strong, data-driven judgment about the statistical systems that power employee listening, using that judgment to frame trade-offs, sequence delivery, and keep significantly complex scientific programs on track across teams.

    As our senior technical program leader, you will operate with complete independence across the Corporate, Worldwide Operations, and cross-cutting portfolios. You will drive program delivery where the business and methodological strategy has not yet been defined - working from research questions and methodology owned by science leadership, and orchestrating the science, engineering, and business teams required to deliver them at scale. You will advise VPs and senior leaders on program status, risks, and trade-offs.

    Key job responsibilities

    Cross-Team Technical Program Delivery

    • Own the delivery lifecycle of significantly complex, cross-team measurement-science programs - from requirements and sequencing through delivery, iteration, and long-term sustainability.
    • Force-multiply across science, engineering, and business teams, aligning many contributors toward coherent delivery of programs that no single team owns end to end.
    • Drive delivery in ambiguous, novel problem spaces where methodological and business strategy has not yet been defined, creating structure and a path forward where none exists.

    Science-Systems Technical Judgment

    • Bring deep, data-driven judgment about the measurement-science systems that power employee listening - sampling, weighting, instrument pipelines, and statistical methods - to frame technical trade-offs and identify delivery risks. Expertise is expected in measurement science, not software engineering.
    • Identify risks and opportunities in measurement-science strategies and the systems that implement them, driving simplification and efficiency across complex, interdependent scientific programs.
    • Recognize when a program needs additional scientific guidance and engage science leadership or subject-matter experts at the right moments.

    Science Partnership & Translation

    • Partner with research scientists to understand research questions and methodology, and translate them into cross-team technical program plans, sequencing, and delivery milestones.
    • Independently author accurate, decision-driving documents for senior leadership, including program plans, technical narratives, and launch reviews. Accuracy is non-negotiable: errors in how the science is represented undermine both trust and program integrity.

    Stakeholder Engagement & Influence

    • Build and maintain trusted relationships across PXT LT organizations, representing measurement-science programs.
    • Influence organizational priorities, resource allocation, and technical direction across teams and VP organizations without direct authority - aligning diverse teams toward simple, coherent approaches.
    • Manage escalations (is escalated to), proactively driving program and senior-leader reviews that surface risks, opportunities, and trade-offs clearly.

    Business Expansion & New Populations

    • Drive the technical program delivery required to extend measurement science to new business expansions, including Whole Foods Market, One Medical, Last Mile/Middle Mile, and future workforce populations.
    • Ensure new populations are integrated into the measurement framework without degrading existing program quality or scientific standards.

    Process Improvement & Automation

    • Identify and drive automation and process improvement across measurement-science delivery - reducing manual overhead and recurring effort while preserving data integrity.
    • Create, optimize, and drive adoption of cross-organizational mechanisms that accelerate delivery and ensure programs succeed long-term, with or without your direct involvement.
    • Actively develop the TPM community through mentoring, promotion assessments, and sharing best practices.

    A day in the life

    You might start your morning unblocking a cross-team dependency between a science workstream and the engineering team building its data pipeline, then move into a working session with scientists to sequence the delivery of a new weighting approach across several populations. After lunch, you could be driving a program review that aligns three teams on a shared delivery plan, surfacing a methodological risk that needs science leadership's decision. Later, you present a program narrative to a VP, distilling a significantly complex cross-team effort into a clear, data-driven recommendation. You end the day mentoring a TPM on the team. No two days are identical - the common thread is the combination of science-systems judgment, cross-team orchestration, and delivery precision.

    About the team

    PXT Central Science (PXTCS) is Amazon's people-science R&D organization. We develop causal inference methods, predictive models, and decision-support tools that operate at the intersection of economics, machine learning, and organizational science. Our work spans employee experience, workforce planning, compensation, talent acquisition, and employee relations - always grounded in rigorous methodology and always aimed at real-world impact.

    The eXperience Measurement Science (XMS) team owns the experience measurement strategy and execution for global Amazon, operationalized primarily through Amazon Connections. We set and execute a scientific data collection strategy that underpins listening, modeling, prediction, and insights across Amazon's workforce of over one million employees - while prioritizing a positive responder experience. Our work sits at the intersection of science, engineering, and business strategy.

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Skills

    • Automationunmatched
    • Best Practicesunmatched
    • Business Strategyunmatched
    • Community Developmentunmatched
    • Data Collectionunmatched
    • Data Managementunmatched
    • Data Qualityunmatched
    • Decision Supportunmatched
    • Delivery Drivingunmatched
    • Economicsunmatched
    • Employee Relationsunmatched
    • Establish Prioritiesunmatched
    • Food Deliveryunmatched
    • International Operationsunmatched
    • Leadershipunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Predictive Modelingunmatched
    • Process Improvementunmatched
    • Program Planningunmatched
    • Project/Program Managementunmatched
    • Research & Development (R&D)unmatched
    • Resource Managementunmatched
    • Riskunmatched
    • Risk Analysisunmatched
    • Scientific Researchunmatched
    • Software Engineeringunmatched
    • Sustainabilityunmatched
    • Team Buildingunmatched
    • Technical Deliveryunmatched
    • Technical Leadershipunmatched
    • Weightingunmatched
    • Workforce Planningunmatched
    • Writing Skillsunmatched

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