Scribd
San Francisco
201-500 employees
The best audiobooks, books, and more, available anywhere. Join us on our mission to change the way the world reads.
Lead Product Manager, ML/AI - Recommendations
Lead Product Manager, ML/AI - Recommendations
This job is no longer open
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.9 M subscribers in nearly every country worldwide.
Have you heard about our future of work program, Scribd Flex? As a key principle, we embrace flexibility and allow employees, in partnership with their manager, to choose the work-style that best suits their individual needs and preferences. And, we create intentional in-person moments with each other that build culture and connection.
We offer:
• The opportunity to break new ground in how our users discover content: Scribd is different from other subscription companies because of our vast and dynamic content library (180M+ pieces of content, 3.1M added monthly).
• Craft experiences that enable a global user base of 100M to find and enjoy a wide variety of content through the use of proven and cutting edge technology.
• Make a foundational impact on the product experience by shaping the various ways that our content is discovered and consumed (6B+ monthly recommendations.
About the role:
The product team is looking for a driven, innovative, and experienced Discovery Product Management leader who can:
• Understand the desired user experiences and create strategies for how our machine learning platform that powers search, recommendations and browse will bring those experiences to life.
• Thinking holistically about how a discovery platform can support the entire business.
• Build products that are backed by large-scale ML models to encourage users to discover and enjoy content.
To succeed, our service must consistently recommend the most compelling content. To delight users on each visit, at a global scale and with varying levels of user data is a big challenge. In this critical role, you will help shape the experience of cross-content discovery. We are looking for a product leader who is comfortable using data and creating a user-centric roadmap while collaborating and coordinating with partners across the company.
You will:
• Construct a product roadmap using domain knowledge and partnerships to drive, prioritize and execute opportunities for the discovery platform.
• Gather user feedback and usage data to understand their goals and needs, validate product assumptions and communicate requirements.
• Partner with engineering, design, product, marketing and data science to identify opportunities to improve the quality and relevance of recommendations.
• Influence others, manage stakeholders and communicate progress and evolving strategy through regular presentations to executives and partners.
• Break work down into well-prioritized plans, evaluate trade-offs, and define and measure success.
• Inspire the team by demonstrating customer impact through clear success metrics and real feedback
You Have:
• 7+ years of product management or system development experience.
• Demonstrated collaboration with diverse stakeholders, including engineers, data scientists, product managers and executives.
• A person who is naturally a self-starter, can drive an initiative through execution and enjoys working across multiple teams.
• Experience participating in technical discussions and the confidence to debate ML engineers to ensure decisions meet user and business needs.
• Experience translating how technical products meet customer needs to external stakeholders in ways that influence both business and technical strategy.
• Strategic platform and system thinker who can balance big picture strategy with detailed, flawless execution.
• Experience building applied ML/AI based solutions or practical knowledge of machine learning, retrieval/ranking and model deployment in a production environment.
Benefits, Perks, and Wellbeing at Scribd
*Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Tuition Reimbursement
• Learning & Development programs
• Quarterly stipend for Wellness, Connectivity & Comfort
• Mental Health support & resources
• Free subscription to Scribd + gift memberships for friends & family
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Diversity, Equity, & Inclusion programs
Want to learn more about life at Scribd? www.linkedin.com/company/scribd/life
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We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Remote employees must have their primary residence in: Arizona, California, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico. *This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.
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This job is no longer open