Principal Technical Product Manager, Personalization

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Requirements:

• 7-10 years of experience leading AI/ML-driven personalization or search product development at scale, including direct experience with recommendation engines, search relevance, and ranking algorithms.
• Expertise in search technologies (e.g., Elasticsearch, Solr), personalization algorithms, and machine learning techniques.
• Proven track record of driving business impact through AI-powered product initiatives, with experience influencing executives and aligning teams around a shared vision.
• Strong analytical skills with experience designing and interpreting A/B tests, analyzing large data sets, and using data to drive decision-making.
• Exceptional ability to partner with engineering, data science, design, and business stakeholders to deliver high-quality, scalable solutions.
• Deep understanding of user behavior, design principles, and usability best practices in digital discovery experiences.

Responsibilities:

• Envision and define personalized sound discovery experiences, tailored to each customer's intent, that operates seamlessly across Splice’s products.
• Drive roadmap to implement recommendation experiences, invent ways to multiply the rate of innovation across the company on behalf of our customers.
• Establish a robust experimentation framework, designing and implementing A/B tests to measure and optimize key performance metrics such as relevance, engagement, customer activation and retention.
• Work with a team of engineers, data scientists, engineering managers, and designers to define and execute a product roadmap to understand customers' intent and help complete their sound discovery missions.
• Anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance customer and business needs versus technical constraints.
• Clearly communicate goals, requirements, roadmaps, and timelines to internal cross-functional in a fully remote environment.
• Serve as a thought leader and technical expert, working closely with engineering and data science to develop cutting-edge recommendation experiences.
• Monitor industry trends and advancements in AI, search, and recommendation systems, bringing innovative ideas to Splice to maintain a competitive edge.
• Mentor and guide cross-functional team members, fostering a culture of excellence and high-impact execution.