Account Director
Augeo
Staff Product Manager – ML-Driven Experiences
Warner Bros. Discovery
full-time
Posted on:
Origin: • 🇺🇸 United States • New York, Washington
Visit company websiteSalary
💰 $145,600 - $270,400 per year
Job Level
Lead
About the role
- Define and own the long-term ML strategy for customer understanding (preferences, engagement health) tied to WBD’s streaming growth goals.
- Translate company objectives into product priorities that directly enable personalization, marketing, and engagement improvements.
- Own and deliver the roadmap for customer understanding ML models across HBO Max and global streaming products.
- Drive prioritization and execution with Data Science, ML Engineering, and partner PMs to ship scalable, production-grade models.
- Act as the accountable owner for this ML domain, presenting strategy, progress, and trade-offs to executives and stakeholders.
- Build strong partnerships with product teams across Personalization, Growth, Content Discovery, and Marketing and Content Strategy teams to drive customer and business impact.
- Make and resolve key technical, strategic, and business trade-offs balancing short-term outcomes with long-term investment.
- Ensure all decisions are data-driven, transparent, and grounded in measurable customer and business value.
- Mentor PMs, TPMs, engineers, and data scientists to raise the bar in ML product management and cross-functional execution.
- Foster a collaborative culture that accelerates decision-making and increases team and partner productivity.
- Deliver measurable improvements in engagement, retention and churn reduction through ML-driven capabilities.
- Scale ML systems to reliably support >100M global customers and contribute to WBD’s position as a top 3 streaming platform.
Requirements
- 8+ years of product management experience, with significant time spent on ML-driven products or content discovery systems.
- Proven track record of shipping consumer-facing personalization or recommendation systems at scale.
- Strong technical fluency—able to engage meaningfully with engineering and data science on ranking models, data pipelines, and ML evaluation.
- Deep understanding of A/B testing methodologies, statistical analysis, and product experimentation frameworks.
- Systems thinker who can connect the dots between algorithmic performance, UX treatments, and business outcomes.
- Excellent communicator who can synthesize complexity for a range of audiences, from execs to engineers.
- Experience leading cross-functional teams in agile environments; familiarity with tools like Jira and Confluence.
- Bachelor’s or MS in Computer Science, Data Science, Engineering, or a related technical field (preferred but not required).
- Engineering / applied science background AND/OR experience working hand in hand with scientists to build and optimize ML-driven experiences.
