: Sr. Product Manager-Technical, Alexa AI Analytics
101 Main Street
Cambridge, MA 02142

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Our spoken language understanding analytics product group is responsible for building a platform to quickly & accurately evaluate Alexa performance metrics at scale. Our goal is to provide actionable insights to Alexa developers (1P, 3P) to improve the customer experience for Alexa end-users. We are building a service oriented architecture to make this happen and want your help with defining customer requirements, prioritizing features based on expected benefit, working with engineers to specify technical requirements, and collaborate with engineering scrum teams to actually see customer requirements through to delivery in production.

You will need to work closely with customers, 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. 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 product managers, business intelligence engineers, software engineers, and data scientists to define and prioritize product features within the broader analytics platform.

A successful candidate will have a passion for building and simplifying solutions, using data (metrics) to drive prioritization and feature decisions, and the entrepreneurial grit to get things done!

Responsibilities include:

  • Writing product/marketing requirements documents and ensuring clear communication and coordination of requirements to the business, design and development teams
  • Contributing to the overall product roadmap, and manage prioritization and tradeoffs against customer experience and time to market
  • Creating buy-in for the product vision both with direct internal team and other Alexa teams
  • Establishing business processes and policies as well as metrics and indicators for success
  • Measuring and analyzing existing products and business models for opportunities to innovate and improve, providing additional benefits to developers and customers
  • Driving product launches including working with other product managers, customers, training teams, etc.
  • Proactively identifying and resolving strategic issues that may impair the team’s ability to meet strategic, financial, and technical goals

Professional traits that are not unique to this position, but necessary for Amazon leaders:

  • Exhibits excellent judgment
  • Has relentlessly high standards (is never satisfied with the status quo)
  • Is able to dive deep and is never out of touch with the details of the business or the technology
  • Is strongly oriented towards results
  • Thinks big

BASIC QUALIFICATIONS

  • Bachelor's Degree
  • 5+ years of experience in product or program management, product marketing, business development or technology
  • Experience with end to end product delivery
  • Experience overseeing 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
  • Bachelor's degree or equivalent in related field
  • 5+ years industry experience: building processes, project/program management, release schedules, and translating customer needs into business and product requirements
  • 3+ years of experience operating, managing, and delivering results in a consumer-facing product management role or in a hands-on role supporting end-to-end product development
  • Experience having ownership of deliverables for analytics or leading data-driven large-scale product features
  • Experience defining new product features according to customer needs and iterate quickly based on test & learn experiment
  • Experience using metrics to surface investment areas for feature development/fixing, prioritization, and experience communicating this data and paths forward to senior leadership
  • Experience with agile methodologies

PREFERRED QUALIFICATIONS

  • MBA or Master’s degree
  • 7+ years of experience working on Internet-scale web services for customers, designing and implementing advanced applications for consumers and third-party partners
  • Experience with advanced applications with artificial intelligence, natural language understanding, and/or machine learning technologies
  • Experience in delivering technology products/services in a high growth environment, with a demonstrated ability to translate customer needs into business and product requirements
  • Must be able to think strategically and act tactically.
  • Strong oral and written communication skills are crucial, as well as ability to think clearly, analyze quantitatively, solve problems, scope technical requirements and prioritize project work.
  • Sound business judgment, proven ability to influence others, and strong analytical thinking skills are critical to success in this position.
  • Willingness to roll up your sleeves and do whatever is necessary; general manager / owner mentality and an entrepreneurial drive; demonstrated ability to have fun and inspire team members to enjoy work, be action-oriented and stretch their imagination.
  • Successful history of shipping innovative products
  • Demonstrated analytical and quantitative skills, ability to use hard data and metrics to back up assumptions and develop business cases.
  • Demonstrated ability to dive deep in understanding the product, our business, and the competitive landscape

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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Employee Testimonials

Spyros M.
Senior Principal Scientist, Alexa Machine Learning

“For scientists, this is a great place for doing research because Amazon is very data-driven and metrics-oriented. The rigor expected in scientific publications in terms of running controlled experiments and tracking progress based on well-established metrics is exactly what we see in our team.”

“You also interact with people with strong technical and practical experience and learn from each other,” he says. “You’re exposed to a breadth of challenges, many of them long-term applications for artificial intelligence."

Chao W.
Alexa Science Manager

“Since 2000 I’ve been focused on developing spoken language and machine translation systems that can engage with humans more effectively, and hopefully break down language and other barriers,” Chao says. “We’re still far from systems that truly understand the meaning of what we’re saying, but the progress we’re making with Alexa is incredibly exciting.”

Janet S.
Senior Manager of Applied Modeling and Data Science

“We have much further to go in developing systems that can truly understand and converse with humans naturally.  But I’m incredibly proud of how far we’ve come with Alexa, and super excited about the work teams are doing to make Alexa smarter every day.”

Shankar A.
Senior Manager, Applied Science

“When I first joined the team I didn’t realize just how big and ambitious this initiative really is,” said Shankar. “What’s incredibly exciting for speech scientists like myself is how algorithmic innovations in machine learning and data science have created a sophisticated voiced-based AI like Alexa, and how our work on improving this technology has a positive impact on the day-to-day lives of millions of customers using it."

Chris C.
People Manager

“We have an incredibly diverse, experienced and curious team that is always pushing the envelope even further! Here at Amazon, we pride ourselves on being peculiar. We bring in talent from all around the world, leading to a diversity of background, culture and perspective in each team!” 

Beatriz R.
Team Manager

“I have quickly learned that Amazon is a company where you can actually voice out your ideas and concerns, where you can expect the support and interest of Leadership. We are quick to take action, passionate about improving processes and driven to enhance morale, so being able to speak up without fear has been my best asset. Now at the year mark at ADS, I am happy to say that the culture is one where you are proud to be a member of the team. “