Attentive is seeking a Lead Product Manager to own the end-to-end strategy, roadmap, and execution for Product Recommendations, a critical pillar in enabling personalized, high-performing messaging for thousands of ecommerce brands. Many of our clients have hundreds if not thousands of products they offer, our ability to identify specifically which products each shopper is most interested in is essential to our vision of creating a personalized shopping experience.
You will lead a broad surface area that includes our product catalog, product recommendation embedded in messages, product affinity targeting strategies, and the tools that make it easier for our customers to use product recommendations. This role is critical for advancing our mission of creating bespoke shopping experiences between customers and the brands they love.
What You’ll Accomplish
Lead the strategy and execution for how Attentive ingests, normalizes, and structures customers’ product catalog data to power intelligent recommendations and segmentation
Partner with Data Science to define the roadmap for algorithmic recommendation strategies within messages and across channels
Define targeting strategies that leverage customers’ affinity to products or categories for more personalized messaging
Own all UI/UX features that help customers understand, configure, and test recommendations
Craft and drive a multi-year strategy for recommendations
Translate ambiguous customer needs and competitive signals into clear, prioritized roadmaps
Partner closely with Data Science, Engineering, Design, and GTM to deliver high-impact features
Develop objective frameworks for measuring model performance, customer adoption, and trust
Operate with high autonomy, making crisp decisions and tradeoffs in the face of complexity
Serve as the internal evangelist for Product Recommendations across Attentive, enabling CS, Sales, and Marketing to confidently position our capabilities
Help customers understand why recommendations are effective and when they should be used
Support experiments, betas, and staged rollouts, ensuring measurement rigor and quality
Deeply understand the ecommerce ecosystem, especially product feeds, personalization engines, and customer lifecycle marketing
Your Expertise
5–8+ years of Product Management experience, ideally with product recommendations
Experience shipping algorithm-driven and/or personalization products at scale
Strong product sense with the ability to simplify complexity into clear, actionable roadmaps
Fluency partnering with Data Science teams—comfortable setting goals, reviewing model outputs, and translating performance into roadmap decisions
Proven track record of driving adoption, crafting compelling narratives, and enabling GTM success
Excellent written and verbal communication skills, with executive-ready clarity
Thrives in fast-paced, ambiguous environments and can drive decisions without perfect data
Experience in ecommerce, rec engines, identity/graph systems, or CDPs is a plus