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Salary: USD 148,000 - 231,000 / annual
Braze is seeking a Senior Product Manager to lead the Intelligence team, which powers AI-driven marketing optimization features including Content Optimizer, Item Recommendations, Intelligent Timing, Intelligent Channel, and Intelligent Selection.
In this role, you will own the vision, strategy, and product roadmap for the Intelligence product area. You'll partner closely with engineers to improve model quality, reliability, and accuracy while reducing fallback behavior and increasing customer uplift. You'll define and track success metrics including adoption, SKU attach, retention, and revenue impact.
Key responsibilities include making AI transparent and trustworthy by helping marketers understand model decisions and equipping go-to-market teams to communicate competitive advantages. You'll collaborate with engineers and designers to launch new products and features, stay competitive in the marketing AI landscape, and run point on launches in partnership with Product Marketing, Customer Success, and other GTM functions. You'll also establish and manage stakeholder expectations while communicating progress and decisions effectively.
Braze is a leading customer engagement platform recognized as a Leader in marketing technology. The company operates at scale (billions of users) and has been named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 Fortune Best Workplace in Technology by Great Place To Work, and holds Great Place to Work certification in the U.S., UK, Australia, and Singapore. Headquarters in New York with offices globally including San Francisco, Austin, Berlin, London, Paris, and others.
**Requirements:**
- 5+ years of Product Management experience
- Strong product instinct for turning complex algorithms into simple, trustworthy experiences for marketers
- Strong communication, storytelling, collaboration, organization, and persuasion skills
- Proactive, positive, can-do attitude with ability to drive projects to completion
- Ability to work within cross-functional teams and balance multiple projects
- Eagerness to learn and grow
**Bonus qualifications:**
- Previously shipped ML or AI-powered products (recommendations, personalization, optimization, decisioning)
- Fluency in experimentation and measurement (A/B testing, holdout groups, uplift, model tradeoffs)
- Performance or lifecycle marketing experience
- Experience with recommendation systems, multi-armed bandits, or reinforcement learning
- B2B SaaS company experience
- Experience at high-scale technology startups
