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Salary: USD 148,000 - 231,000 / annual
Braze is hiring a Senior Product Manager for its Intelligence team, which powers AI-driven optimization and personalization features within the Braze Customer Engagement Platform. The Intelligence team combines platform data with machine learning and statistics to help growth marketers engage customers more effectively. The team owns core BrazeAI™ products including Content Optimizer, Item Recommendations, and the Intelligence Suite (Intelligent Timing, Intelligent Channel, and Intelligent Selection).
In this role, you will build and own the vision, strategy, and product roadmap for the Intelligence product area. You'll partner closely with engineers to improve model quality and reliability—focusing on accuracy, reducing fallback behavior, and increasing customer uplift from Intelligence features. You'll define and track success metrics including adoption, SKU attach, retention, and customer uplift, connecting product decisions directly to revenue impact.
A key responsibility is making AI transparent and trustworthy: helping marketers understand what models do and why, and equipping go-to-market teams to articulate the value and competitive advantage of Braze Intelligence. You'll work closely with Engineers and Product Designers to bring new products and features to market, stay informed on the competitive landscape of marketing AI, and run point on launches for the Intelligence team, partnering with Product Marketing, Customer Success, and other GTM functions.
You'll also establish and manage internal and external stakeholder expectations, communicating progress and decisions effectively across the organization.
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 a track record of driving projects to successful completion
- Ability to work within cross-functional teams and balance multiple projects simultaneously
- 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); ability to go deep with engineers on model approaches
- 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 (operating at billions of users scale)
