Senior Product Manager

This role leads the development and enhancement of personalization services on HBO Max, owning the product strategy for ML-powered personalization and discovery. The position sits within a team of Product Managers focused on Personalization, working closely with Software Engineers and Data Scientists, and partnering with Editorial and Marketing professionals as well as company executives. The team brings a diverse range of skill sets and experience in AI, Machine Learning and Recommenders across streaming media, e-commerce and top-flight tech firms.

• Define the end-to-end product strategy for ML-powered personalization and discovery, identifying opportunities that align with strategic goals and improve engagement, retention and customer satisfaction.
• Lead roadmap development for personalization systems, coordinating closely with engineering, data science, UX and content teams to prioritise initiatives that balance innovation, quality and speed.
• Champion customer-centricity by leveraging experimentation, user research and behavioural data to design and optimise personalised experiences across surfaces.
• Manage complex ranking systems and feedback loops, understanding how user signals and content metadata flow through algorithms and influence outcomes across product surfaces.
• Partner with executives, engineering leaders, data teams and content strategists to align roadmaps, communicate outcomes and translate vision into action.
• Monitor trends in personalization, ML tooling and competitors' discovery experiences to inform roadmap priorities and strategic pivots.
• Define KPIs that align with both user value and business metrics such as engagement, diversity and relevance, using experimentation and analytics to optimise performance and guide iteration.
• Lead go-to-market for personalization and recommendation capabilities, ensuring internal readiness, high-quality rollout and learning-based iteration cycles.
• Identify and quantify customer problems, determine approaches to address them, and A/B test different features to solve them.

• 5+ 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, AI and ML evaluation.
• Deep understanding of A/B testing methodologies, statistical analysis and product experimentation frameworks.
• Systems thinker able to connect algorithmic performance, customer experience treatments and business outcomes.
• Excellent communicator able to synthesise complexity for a range of audiences, from executives to junior engineers.
• Experience leading cross-functional teams in agile environments, with familiarity with tools such as Jira and Confluence.
• Deep experience with ML-driven recommendation at scale, with fluency across data science, user behaviour and business impact.

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering or a related technical field (preferred but not required).

• Actual salaries vary based on job-related factors including geographic location, external market data, internal equity, skill set, experience, training, education and/or performance; base pay is one component of the total compensation package.

• Health insurance coverage
• Employee wellness programme
• Life and disability insurance
• Retirement savings plan
• Paid holidays, sick time and vacation
• Other rewards may include annual bonuses, short- and long-term incentives and programme-specific awards