Product Manager - Machine Learning Platform

United States, San Francisco, CA

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PlayStation Global

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Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.

 

Product Manager, Machine Learning Platform

San Francisco, CA (SOMA):

 

PlayStation’s Machine Learning platform team powers intelligent and delightful customer experiences on PlayStation consoles, websites and mobile.

Located in San Francisco, the team is passionate about gaming and ML, as well as being friendly, encouraging, and inclusive.

We are looking for a Product Manager who can continue to build and improve the PlayStation ML platform. In this role you will work as part of a team, innovating on the existing ML development experience and defining what’s able to come next for PlayStation customers around the world.

 

The Role:

This Product Manager will be responsible for defining requirements and working with customers in setting the direction for the ML platform, with a view to enabling experience teams across PlayStation to personalize and enrich the consumer experience. The ideal candidate is a Product Management professional who brings innovative, scalable platform products to market and has the technical background or experience vital to partner with a variety of product, engineering and data science teams.

You should be passionate about machine learning technology, big data platforms, and the application of data forward techniques across the product lifecycle. You will have developed outstanding product management skills. You anchor your decisions in strategy and defend them with data, and you thrive in an active and highly ambitious environment. This is a high impact role that demonstrates strong technical and business skills to deliver innovative features for our customers and partners across the entire PlayStation platform.

Role Responsibilities:

  • Develop a deep understanding of the needs of ML delivery and integration from PlayStation teams.
  • Own, develop, maintain, and evangelize the product roadmap
  • Propose and present future product innovations for the Machine Learning Platform
  • Input into the Machine Learning Product Lead as part of the wider machine learning strategy
  • Engage at a detailed technical level to drive product requirements
  • Drive feature prioritization, process improvements, and product development direction
  • Define success metrics and SLAs on the key data products and services
  • Perform User Acceptance Testing and ensure requirements were understood and implemented as requested.
  • Proactively provide customer and business context to engineering teams
  • Establish SME status relative to the ML platform and provide insights into market trends.
  • Drive collaboration across all PlayStation Machine Learning Teams to align on company wide ML initiatives.

Required Qualifications, Skills, & Experience:

  • 2+ years of experience in product management or with a focus on machine learning operations and scalability
  • Strong understanding of the entire machine learning development and production delivery process
  • Experience in working with a wide array of partners across organizations, including multiple engineering teams, data scientists, and related functions
  • Excellent communicator able to articulate the value of streamlined ML development and delivery techniques to customers across the organization
  • Strong analytical abilities and experience with data informed product design and decision making
  • An ambitious self-starter who deals well with ambiguity
  • Strong, influential cross-functional team leader
  • Excellent problem-solving skills and ability to work independently.

 

#LI-AC1

At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.

Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. 

In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.

The estimated base pay range for this role is listed below.$116,600—$175,000 USD

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data Engineering Machine Learning Testing VR

Perks/benefits: Career development Competitive pay Health care Salary bonus Wellness

Region: North America
Country: United States
Job stats:  24  3  0

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