Amazon

Sr. Product Manager, Collaborative Intelligence Technology, Kumo

Seattle, WA Dallas, TX
USD 137k - 236k
AWS Deep Learning Machine Learning
Description
- 10+ years of technical product management with internet business experience
- 10+ years of working as a Technical Product Manager experience
- 5+ years of technical (software development, network development, IT, other related) experience
- Experience in taking a product from conception & definition phase through engineering design and taking it to market
- Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience working within teams delivering software products and features using agile methodologies
- Knowledge of deep learning, machine learning and statistics

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $137,000/year in our lowest geographic market up to $236,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
True potential of GenAI lies in its ability to collaborate with human intelligence. AWS offers Collaborative Intelligence Technology through AWS re:Post for public developers and AWS re:Post Private for Enterprises. We are seeking a seasoned technical product manager to own the technical roadmap and lead Collaborative Intelligence Technology vision to embed GenAI at every stage of the knowledge lifecycle, assisting humans and transforming the customer experience. In this role, you will work with public builders and Enterprise customers to own end-to-end product lifecycle including driving adoption.

Key job responsibilities
Responsible for overall product vision and adoption. You’ll own the service messaging, including operational, feature or service positioning, and other outreach efforts. You’ll partner with the UX team to engage with customers, identify their needs, and define customer experience. Based on this data, you periodically refresh your 3-Year plan, write operational plan (OP1), define and track goals, and refresh roadmap quarterly. You promote new features, track the feature or product usage metrics, and find needle movers to drive adoption. You effectively run business reviews to review Page 0 and Page 1 metrics, celebrate wins, identify risks/issues/challenges and unblock the team, and escalate as needed.

About the team
The Collaborative Intelligence Technology (CIT) organization currently caters to a range of customers. First, Enterprise customers utilizing AWS re:Post Private, a customer enablement service for Enterprise Support (ES) and Enterprise On-Ramp (EOP) customers. Second, AWS Managed Services (AMS) customers utilizing Self-Service Reports (SSR). Third, public developers accessing self-service knowledge articles and community-generated knowledge on AWS re:Post. Fourth, AWS Support frontline operations teams and Kumo product teams consuming actionable insights through self-service dashboards, Real-Time Metrics (RTM) dashboards, Kumo page-0 metrics, and on-demand analytics. Lastly, AWS customer-facing employees use AWS Guide for internal collaboration and self-service knowledge to solve customer problems.

Diverse Experiences
Amazon 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.

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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and 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.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

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