Senior Technical Product Manager - ML & Analytics

Austin, TX; Toronto, Canada

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Zynga

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Level Up Your Career with Zynga!

At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition.

From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVilleā„¢, Words With Friendsā„¢, Zynga Pokerā„¢, Game of Thrones Slots Casinoā„¢, Wizard of Oz Slotsā„¢, Hit it Rich! Slotsā„¢, Wonka Slotsā„¢, Top Elevenā„¢, Toon Blastā„¢, Empires & Puzzlesā„¢, Merge Dragons!ā„¢, CSR Racingā„¢, Harry Potter: Puzzles & Spellsā„¢, Match Factoryā„¢, and Color Block Jam™—plus many more!

Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level.

Join us and be part of the play!

Position Overview:

We're searching for a Senior Product Manager on our Platform Machine Learning team who can help drive the team’s product vision and strategy. This Product Manager will work closely with Zynga’s internal teams to understand their technological needs as they build out engaging experiences for our new and existing player base. Projects will range from the development of automation tools, data pipelines, and ML models, empowering users to effectively and efficiently meet their business goals.

What You'll Do:

  • Establish the product vision and strategy that will help improve operations and performance across our business.
  • Partner with executive, game, marketing, and analytics teams to understand user needs and establish success criteria with clearly measurable objectives and key results to deliver a great end-user experience.
  • Collaborate with a high-performing group of Engineers, Data Scientists, and Analysts acting as the voice of the business to shape the development and delivery of AI solutions.Ā 
  • Define key performance indicators (KPIs) and track the impact of products on business outcomes
  • Impact the end-to-end product lifecycle of features spanning multiple areas.
  • Collaborate to solve novel problems introduced by the constantly evolving and increasingly challenging gaming ecosystem.Ā 
  • Be or become a guide in data science strategies and technologies, including key vendors in the space, pros and cons of opposing approaches, and trade-offs involved with different strategies.

Zynga is known for its data-driven culture, its ambitious mindset, and its fast-paced, challenging work environment where each individual can make a difference. We value strong analytical skills, problem-solving, and quantitative experience. We look for great communicators, leaders, and team players.

What You Bring:

  • Strong analytical and problem-solving skills with a Bachelor's degree or equivalent experience in Computer Science, Engineering, Economics, or Business.
  • 5+ years of professional experience in a product management role.
  • Prior experience in working with Game and/or Marketing teams or building DS solutions.
  • Demonstrated experience with prioritizing projects, collecting requirements, crafting product specifications, and carrying features from conceptualization to deployment.
  • Good knowledge of agile software development methodologies and software development life cycle.
  • Experience with metrics-driven decision-making.Ā 
  • A track record for high performance and team/project leadership.
  • Hard-working, performance-driven self-starter and team player.
  • Excellent verbal and written communication skills.

What We Offer You:

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site

We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization.Ā  Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.

As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position.

Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others.Ā  Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel.Ā  Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage.Ā  Zynga’sĀ  in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).Ā Ā 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index šŸ’°

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Tags: Agile Computer Science Data pipelines Economics Engineering KPIs Machine Learning ML models Pipelines SDLC

Perks/benefits: Career development Health care

Region: North America
Countries: Canada United States

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