Staff Product Manager - AI / ML

Role overview Lead product strategy for machine learning features that shape a consumer product experience and support growth. You’ll work across product, engineering, data science, commercial, and customer relationship teams to identify where models can help, define success, and guide features from evaluation through experimentation and launch.

Responsibilities - Set direction for customer-facing ML applications, connecting product priorities to acquisition cost, cross-sell, and engagement goals. - Decide which problems benefit from ML and design experiences that account for probabilistic or variable model outputs. - Define how to measure model quality and evaluate its impact on the customer experience and business outcomes. - Make experimentation and testing central to product decisions and release planning. - Coordinate requirements and evaluation with ML engineers and data scientists, while aligning with commercial and CRM partners. - Explain ML concepts and product tradeoffs to non-technical stakeholders, balancing model quality with practical delivery needs.

Requirements - Senior product management experience, with a record of work in growth, experimentation, or data-informed consumer products. - Quantitative experience in areas such as statistics, probabilistic measurement, or evaluating large language models. - Ability to make product decisions specific to ML and assess model performance; a data science background is not required. - Experience with consumer products serving large user bases and supported by mature data and experimentation practices. - Clear communication skills and patience when helping partners understand technical or quantitative topics. - A pragmatic, adaptable approach to tradeoffs and timely delivery.

Benefits and work setup - The listing describes the role as remote and notes that some interview or onboarding activities may involve in-person attendance, depending on location and role.