About the job
We are seeking an experienced Principal Product Manager - Tech to own the vision, strategy, and roadmap for the core recommendations that power our personalization and discovery experiences. You will operate at the intersection of machine learning, customer experience, and business strategy, leading fast-paced, high-impact projects that ship ML-powered features at scale.
Responsibilities
Own the strategy and roadmap for personalization products, including recommendation systems and ML models
Collaborate with applied scientists and ML engineers to translate business problems into model requirements and convert them into clear algorithmic objectives, metrics, and guardrails.
Define and analyze key metrics to measure recommendation quality, customer outcomes, and business impact; analyze user behavior data to identify opportunities to improve personalization.
Lead A/B testing strategy and experimentation to validate algorithmic improvements and inform roadmap decisions.
Partner with stakeholder teams to understand business needs and translate them into technical specifications and prioritized work.
Communicate complex technical and algorithmic concepts clearly to senior leadership and cross-functional partners.
Make and own trade-off decisions between model complexity, latency, scalability, and business value, ensuring robust, production-ready solutions that deliver customer value.
Qualifications
Minimum
2+ years of end to end product delivery experience
8+ years of technical product or program management experience
Bachelor's degree
Experience with feature delivery and tradeoffs of a product
Experience owning/driving roadmap strategy and definition
Experience leading engineering discussions around technology decisions and strategy related to a product
Experience technical product management
Preferred
Experience working directly with Engineers on product enhancements
Experience in project management methodologies, business analysis, or process improvement
Experience owning data-centric products
Working knowledge of machine learning algorithms
Prior machine learning experience, familiarity with statistical data analytics techniques
Knowledge of modern ML techniques (deep learning, NLP, LLM, Agentic AI) and their practical trade-offs
Fluency in technology alternatives with ability to weigh pros and cons of different technical approaches
Strong leadership skills with ability to influence cross-functional teams and drive alignment among diverse stakeholders
Experience working with senior-level stakeholders and communicating complex technical concepts to executive leadership
Experience in project management methodologies, business analysis, or process improvement