Principal Product Manager, Machine Learning

Job Description

• Helping bring new machine learning products to life on Zocdoc, focused on delivering an amazing patients-first experience • Working closely with commercial and product teams to identify machine learning products that can unlock growth at Zocdoc • Reading technical industry papers/blogs and studying how other peer companies are utilizing machine learning • Working with data scientists and machine learning engineers to identify, size and prioritize roadmap opportunities • Writing PRDs for prioritized roadmap opportunities and being the go-to product person for execution of opportunities • Drafting quarterly and annual roadmap and OKR documents • Drafting multi-year vision and strategy documents • Interfacing directly with c-suite and executives to implement cross-company strategy • Launching A/B tests and interpreting user data to iterate and launch new products • Using Looker/SQL to extract new insights on how our ML models are performing • Explaining product ideas to non-technical functions like legal and commercial and ensuring we are adhering to data utilization policies

Qualifications

• 5-10 years of experience in Product Management • Experience with data science and machine learning models (either as a PM or data scientist / engineer) is a requirement • Experience in ML data management, model development, validation/testing, deployment, and monitoring • Healthcare/marketplace experience a plus • Experience identifying user problems, sizing opportunities, prioritizing opportunities and defining requirements for solutions • Strong project management skills for cross-functional initiatives involving Engineering, Design, User Research, Product Marketing, Sales, Product Operations, and more • Experience running A/B tests and analyzing data to make launch decisions • Ability to create and own a multiyear vision and roadmap in partnership with cross functional stakeholders • Strong analytical skills and intermediate to advanced SQL skills

Benefits

• Salary ranges are determined through alignment with market data. • Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. • Certain positions are also eligible for variable pay and/or equity;