Senior Manager, Product Management, Customer Success Intelligence, AWS Specialist and Partner Organ

Amazon

Seattle, WA

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JOB DETAILS

SKILLS

Amazon Web Services (AWS), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Automation Systems, Autoscaling, Business Administration, Business Operations, Cloud Computing, Coaching, Communication Skills, Computer Science, Corporate Policies, Customer Support/Service, Data Entry, Data Science, Economics, Ecosystems, Engineering, Engineering Management, Federal Laws and Regulations, Information/Data Security (InfoSec), Machine Tool, Mentoring, Metrics, Microsoft Active Server Page (ASP), People Management, Post-Sales, Product Development, Product Management, Product Pricing, Product Strategy, Prototyping, Quality Management, Quality Metrics, Startup, State Laws and Regulations, Team Building, Team Lead/Manager, Team Player, Technical Delivery, Technical Leadership

LOCATION

Seattle, WA

POSTED

30+ days ago

Description AWS is seeking an experienced and strategic Senior Manager, Product Management, to lead the CS Intelligence team within the Customer Success Center of Excellence (CS COE), a critical function within the AWS Specialists & Partners (ASP) organization. This role will manage a team of Product Managers who own the customer success platform that scales customer success across AWS. As a product leader, you will be responsible for transforming the CS COE from a services team into a product team - building and operating an AI-native platform that powers all Customer Success motions (including Agentic Customer Success). This is a unique opportunity to build a new product capability at AWS, creating an end-to-end system for customer success that partners and customers can build on. You will lead a distributed team building specialized AI agents (engagement routing, health monitoring, partner qualification, outcome prediction), platform infrastructure, and post-launch tooling integrations. This leader must be comfortable operating in ambiguity, making high-judgment sequencing decisions across a complex roadmap, and delivering through influence across engineering teams, field organizations, product teams, and partner ecosystems. The ideal candidate brings deep experience building AI/ML-powered products from 0-to-1, combined with the ability to operate at the executive level with both internal stakeholders and external partners. Key job responsibilities - Own the product vision, strategy, and roadmap for the Customer Success platform - the AI/ML intelligence layer powering customer success at scale across AWS - Lead, coach, and develop a high-performing team of Product Managers, fostering a culture of customer obsession, technical excellence, and continuous learning - Scale Customer Success agents from prototype to production, with measurable quality thresholds and continuous retraining based on outcome data - Partner with internal field roles to translate field observations into agent requirements, and with engineering teams to secure data inputs and integration surfaces - Establish rigorous success metrics for the platform: agent precision/recall, engagement routing accuracy, coverage expansion, and customer value realization - Recruit, hire, and onboard top product and technical talent to scale the team as the platform matures - Deliver through influence - working across multiple VPs and their orgs, product teams, and partner networks to drive requirements and adoption without direct authority - Champion AI-first ways of working across the CS COE and the broader AWS field delivering 3-5x Customer Success coverage through intelligent automation About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred 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 AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. Basic Qualifications - 7+ years of people management, managing engineers experience - Bachelor's degree in Computer Science, Engineering, or a related technical field - 10+ years of product management or technical product management experience, with emphasis on AI/ML, data platforms, or intelligent systems - Experience owning/driving roadmap strategy and definition for platform or infrastructure products - Experience with end-to-end product delivery including ML model development, agent/automation systems, or data platform products - Experience with feature delivery and tradeoffs of a product - making high-judgment sequencing decisions across competing priorities - Experience engaging and influencing senior executives across engineering, GTM, and operations organizations - Experience recruiting and developing high-performing technical teams that deliver outsized results in ambiguous, fast-moving environments Preferred Qualifications - Knowledge of AWS or cloud technologies - MBA or advanced degree in a technical field (CS, ML, Data Science) - Experience building and scaling AI/ML-powered products from 0-to-1 - agent systems, recommendation engines, predictive platforms, or intelligent automation - Experience with customer success, partner ecosystems, or post-sales product development - Experience building products that serve both internal teams and external customers/partners simultaneously (platform-as-a-product) - Track record of productizing manual/human processes through intelligent automation while maintaining quality - Experience operating in a GTM or commercial organization (not purely engineering) - understanding partner economics, pricing, and commercial model innovation Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, Mountain View - 227,600.00 - 307,900.00 USD annually USA, NY, New York - 217,700.00 - 294,500.00 USD annually USA, VA, Arlington - 197,900.00 - 267,800.00 USD annually USA, WA, Seattle - 197,900.00 - 267,800.00 USD annually

About the Company

Amazon

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

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles

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