Sr. Technical Product Manager, Personalization

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Requirements:

• Minimum 5 years of experience building and shipping AI/ML-driven personalization products at scale with teams of full-stack engineers, designers, and data scientists.
• Deep understanding of search technologies (e.g., Elasticsearch, Solr), personalization algorithms, and machine learning models.
• Proven track record with making data-informed decisions, experimentation-driven decision-making, data analysis, and defining metrics.
• Strong relationship-building abilities and a collaborative mindset; skilled at partnering with direct and cross-functional teams, aligning stakeholders, achieving consensus, and driving impactful results.
• Experience delivering products end-to-end that drive measurable business outcomes.
• Strong understanding of design principles, UX/UI, usability, and user experience mapping.

Responsibilities:

• Develop and own the product vision, strategy, and roadmap for Search & Personalization.
• Partner closely with engineering and data science teams to ship products and features that enhance user engagement, improve the user’s search experience, and drive value through deeply personalized experiences.
• Translate complex technical capabilities into clear product requirements and prioritize them effectively.
• Design and implement A/B tests and multivariate experiments to improve key metrics such as activation rates, user engagement, and retention.
• Communicate effectively with stakeholders at all levels of the organization, presenting findings and driving consensus on experimentation priorities.
• Partner with design to create intuitive user experiences that make discovery seamless and enjoyable.
• Define and track key performance metrics (KPIs) to evaluate success and drive continuous improvement.
• Conduct user research and analyze behavioral data to deeply understand user needs and inform product decisions.
• Communicate product strategy, goals, and updates to stakeholders across the organization, including leadership.
• Analyze experiment results, draw actionable insights, and make recommendations for product enhancements and iterations.
• Stay up to date with industry trends and technologies to keep Splice at the forefront of Search & Personalization innovation.