Lead Technical Product Manager
Toronto, Canada
Zynga
Online games & mobile games offer limitless fun! Play the most popular free games around by Zynga - Farmville, Hit it Rich, Zynga Poker and many more!Who We Are:
Zynga is a global leader in interactive entertainment with a mission to connect the world through games and a wholly-owned subsidiary of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). With massive global reach in more than 175 countries and regions, the combined diverse portfolio of popular game franchises has been downloaded more than 6 billion times on mobile, including Star Wars™: Hunters, CSR Racing™, Dragon City, Empires & Puzzles™, FarmVille™, Golf Rival™, Hair Challenge™, Harry Potter: Puzzles & Spells™, High Heels!™, Merge Dragons!™, Merge Magic!™, Monster Legends, Toon Blast™, Top Eleven, Toy Blast™, Two Dots, Words With Friends™, and Zynga Poker™.Founded in 2007, Zynga is headquartered in California with locations in North America, Europe, and Asia. For more information, visit www.zynga.com or follow Zynga on Twitter, Instagram, Facebook, or the Zynga blog
We are looking for a Lead Product Manager to lead the development and growth of our Experimentation Platform and Reporting. In this role, you will be responsible for driving the product vision, strategy, and execution of our platform, which enables teams across the organization to design, execute, and analyze experiments that drive product improvements and business outcomes.
As a key player, you’ll work closely with engineering, data science, game analytics, design, and cross-functional teams to ensure our platform delivers value by supporting complex testing methodologies and scalable solutions. You will need a strong technical background, an understanding of experimentation principles (A/B testing, multivariate testing), and a passion for empowering data-driven decision-making.
What You'll Do:
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Product Strategy & Roadmap: Develop and communicate a clear product vision for the experimentation platform, aligned with business goals and user needs.
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Stakeholder Collaboration: Partner with internal teams (engineering, data science, analytics, UX) to identify key experimentation needs, gather requirements, and build scalable solutions.
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Technical Leadership: Collaborate with the engineering team to define the architecture and technical direction of the platform, ensuring it can handle large-scale testing and real-time data analysis.
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Experimentation Best Practices: Advocate for and implement best practices in experiment design, execution, and analysis, ensuring teams can derive actionable insights.
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User-Centric Development: Collect feedback from end users (product managers, data analysts, and marketers) to improve the platform’s features and usability continually.
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Metrics & Reporting: Define success metrics for the platform, track performance, and communicate results to stakeholders. Ensure the platform provides robust reporting features.
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Cross-Functional Coordination: Ensure the platform integrates smoothly with other tools and data sources, working closely with data engineers, marketing teams, and other stakeholders.
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Market Research: Stay updated on industry trends, new technologies, and competitive platforms to ensure our experimentation platform remains cutting-edge.
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Project Management: Drive agile processes, manage backlogs, and ensure timely delivery of features.
What You Bring:
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Experience: 5+ years of experience in product management, with a focus on technical platforms or data products. Previous experience with experimentation tools (such as Optimizely, Google Optimize, or in-house platforms) is a strong plus.
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Technical Background: Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. Comfortable with understanding APIs, data pipelines, and complex technical architectures.
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Experimentation Expertise: Strong understanding of A/B testing, multivariate testing, and statistical analysis. Ability to translate experimentation needs into product features.
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Cross-functional collaboration: Proven ability to work with engineering, design, and data science teams to deliver high-quality products.
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Analytical Skills: Strong data-driven mindset with the ability to define metrics, analyze data, and communicate insights effectively.
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Agile Methodologies: Experience working in an Agile environment with a strong grasp of sprint planning, backlog grooming, and prioritization.
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Communication: Excellent verbal and written communication skills with the ability to distill complex technical concepts into simple terms for stakeholders.
Bonus Points:
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Experience building or managing large-scale data products or platforms.
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Familiarity with experimentation frameworks, statistical modeling, and causal inference.
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Hands-on experience with analytics tools like Google Analytics, Amplitude, Mixpanel, etc.
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Experience with SQL, Python, or other data query languages.
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 Zynga Benefits
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. 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. 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. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s 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).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Agile Amplitude APIs Architecture Causal inference Computer Science Data analysis Data pipelines Engineering Market research Pipelines Python Research SQL Statistical modeling Statistics Testing UX
Perks/benefits: Career development Health care Startup environment
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