Senior Product Manager, Intelligence
Role Overview
Braze is hiring a Senior Product Manager for its Intelligence team.
The team combines platform data, machine learning, and statistics to help growth marketers optimize, inform, and automate customer engagement decisions.
Products include Content Optimizer, Item Recommendations, and the Intelligence Suite: Intelligent Timing, Intelligent Channel, and Intelligent Selection.
Key Skills for This Role
Full Job Posting
Role overview
Braze is hiring a Senior Product Manager for its Intelligence team.
The team combines platform data, machine learning, and statistics to help growth marketers optimize, inform, and automate customer engagement decisions.
Products include Content Optimizer, Item Recommendations, and the Intelligence Suite: Intelligent Timing, Intelligent Channel, and Intelligent Selection.
What you'll do
- Own the Intelligence product area's vision, strategy, and roadmap.
- Partner with engineering to improve model quality and reliability, accuracy, fallback behavior, and customer uplift.
- Define and track adoption, SKU attachment, retention, and customer uplift metrics; connect product decisions to revenue impact.
- Make AI transparent and trustworthy and help marketers understand model behavior.
- Equip go-to-market teams to explain the value and competitive advantage of Braze Intelligence.
- Work with engineering and product design to create products and features.
- Track marketing AI competitors and help Braze's products win deals.
- Lead launches with Product Marketing, Customer Success, and other go-to-market functions.
- Manage stakeholder expectations and communicate progress and decisions.
Who you are
- At least 5 years of Product Management experience.
- Strong product judgment for turning complex algorithms into simple, trustworthy marketer experiences.
- Strong communication, storytelling, collaboration, organization, and persuasion skills.
- Proactively drive projects to completion, seek improvements, and balance multiple projects within cross-functional teams.
Bonus experience
- Previously shipping ML- or AI-powered products, including recommendations, personalization, optimization, or decisioning, is a bonus.
- Experimentation and measurement experience with A/B testing, holdout groups, uplift, and model tradeoffs is a bonus.
- Performance or lifecycle marketing experience is a bonus.
- Experience with recommendation systems, multi-armed bandits, or reinforcement learning is a bonus.
- B2B SaaS and high-scale technology startup experience are bonuses.
Compensation
- The stated U.S. starting pay range is $148,000–$231,000 per year; expected OTE is $164,000–$257,000 per year, including bonus or commission.
- Offers may vary based on location, job-related knowledge, skills, and experience. The posting also mentions equity grants.
Workplace
- The posting identifies the role as hybrid.
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