The Lead Product Manager will own the strategy and execution for product recommendations, driving personalized messaging for e-commerce brands with a focus on data ingestion, targeting strategies, and customer understanding.
Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.
Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.
With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index!
About the Role
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 e-commerce 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 e-commerce 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
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants:
- The US base salary range for this full time position is $190,000 - $230,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
By applying for this position, your data will be processed as per Attentive's Privacy Policy.
Attentive Company Values
Default to Action - Move swiftly and with purpose
Be One Unstoppable Team - Rally as each other’s champions
Champion the Customer - Our success is defined by our customers' success
Act Like an Owner - Take responsibility for Attentive’s success
Learn more about AWAKE, Attentive’s collective of employee resource groups.
If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.
At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.
Top Skills
AI
Customer Lifecycle Marketing
Data Science
E-Commerce
Personalization
Product Recommendation Engines
Ui/Ux Design
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