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Technical Product Manager of Predictive Metrics, Conversational Assistant Services
2 months ago
This is a unique role for an experienced technical product manager in that you'll directly own a multi-year product roadmap for predictive metrics (i.e., ML-based analytics) used in our analytics platform, which thousands of developers rely on to make their Alexa features useful and enjoyable for end-users. In addition to standard product lifecycle ownership, you'll be exposed to and influence machine learning teams (applied and research scientists), machine learning engineers and software dev engineers, learn and use big data techniques, and be at the cutting edge of privacy and security best practices. The role has known scope and day-to-day responsibilities with opportunities to both grow the product roadmap and customer reach, as well as grow your own skills, influence, and leveling.
Key job responsibilities
You will need to work closely with customers (both internal to Conversational Assistant Services org and across other Alexa orgs), understanding customer requirements and being responsible for driving and synthesizing these into new product features and roadmaps - from requirements definition, scoping, protoyping, development, QA, customer training/acceptance, and launch. The niche here is that "the product" is a handful of predictive metrics used at scale to measure Alexa's CX. It will greatly help if interested candidates have experience working in machine learning measurement and/or measuring CX. We care deeply about continuous improvement and using metrics to drive key product and business decisions. In this role you will work directly with other program/product managers, applied/research scientists, data scientists, software engineers, and business intelligence engineers to define and prioritize product features within the broader analytics platform.
A day in the life
- Attend daily standups with engineering/science teams to ensure quarterly/monthly roadmap is progressing
- Participates in scrum process like backlog grooming, sprint planning, is a voice of the customer owning prioritization of [competing] customer needs
- Execute recurring customer satisfaction and interviews to ensure product roadmap is aligned to customer needs (top priorities)
- Write and own product roadmap, 3YP, OP1/2 inputs
- Succinctly communicate wins, misses, paths to green and general status updates to L8/L10 leadership
- Look around corners and work with engineering/science counterparts to mitigate risks pertaining to: technical stack, architecture, inference, GPU needs, etc.
- Manage your product costs, consistently looking for means to be frugal
- Monitor and deep dive your product KPIs
- Leverage common PMT mechanisms and customer insights to grow product features, customer opportunities (entitlement), and your own scope
About the team
We are a cross-functional team comprised of product managers, data engineers, business intelligence engineers, and software development engineers. We are passionate about building and improving our analytics platform, "Gale", which enables Alexa developers and leaders to make informed business and CX decisions reliably and quickly. We are deeply rooted in big data, responsible (privacy, secure) data, performant services, and user-friendly analytics applications.
Basic Qualifications
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Preferred Qualifications
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
- Master's degree
- Experience delivering machine learning models and/or measuring their performance
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
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
