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Senior Product Manager, Intelligence

BrazeTorontoProduct
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Salary
Not listed
Job type
Full-time
Experience
Senior · 5+ yrs
Posted
8 Oct 2026
Status
Open · checked 7d ago

About this role

Senior Product Manager, Intelligence is a full-time position based in Toronto at Braze, designed for an experienced professional looking to lead AI and machine learning product initiatives. This role suits a product manager driven to solve complex algorithmic challenges and help growth marketers optimize customer engagement.

Role Overview

Braze is hiring a Senior Product Manager to lead the Intelligence team within the BrazeAI ecosystem. The position focuses on shaping the product vision for tools like Content Optimizer, Item Recommendations, and the Intelligence Suite. The successful candidate will collaborate closely with engineers, product designers, and go-to-market teams to deliver transparent and reliable AI features that connect product decisions directly to revenue impact.

Key Responsibilities

Build and own the vision, strategy, and product roadmap for the Intelligence product area
Partner with engineers to improve model quality, reduce fallback behavior, and increase customer uplift
Define and track success metrics such as adoption, SKU attach and retention, and customer uplift
Make AI transparent and trustworthy by helping marketers understand model functions and value
Collaborate with engineers and product designers to bring new products and features to life
Monitor the competitive landscape of marketing AI to ensure a clear market lead
Lead product launches in partnership with product marketing, customer success, and other go-to-market functions
Establish and manage internal and external stakeholder expectations while communicating progress effectively

Requirements

5+ years of Product Management experience
Strong product instinct for turning complex algorithms into simple, trustworthy experiences for marketers
Excellent communication, storytelling, collaboration, organization, and persuasion skills
A proactive, positive, and can-do attitude with a history of driving projects to successful completion
Ability to work within a cross-functional team and balance multiple projects simultaneously
Eagerness to learn and grow

Nice to Have

Experience shipping ML or AI-powered products such as recommendations, personalization, optimization, or decisioning
Fluency in experimentation and measurement including A/B testing, holdout groups, uplift, and model tradeoffs
Performance or lifecycle marketing experience
Experience with recommendation systems, multi-armed bandits, or reinforcement learning
Experience working at a B2B SaaS company
Background at a high-scale technology startup operating at the scale of billions of users

Skills and Tools

Product Roadmapping
Machine Learning and AI Integration
A/B Testing and Experimentation
Recommendation Systems and Personalization
Cross-Functional Collaboration

Salary and Benefits

Pay range for candidates based in the United States ranges from CA$151,000 to CA$239,000 per year with an On Target Earnings between CA$168,000 and CA$265,000 per year
Comprehensive Total Rewards package including equity grants of restricted stock units
Retirement and Employee Stock Purchase Plans
Flexible paid time off and comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services including fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend

About the Company

Braze is a leading customer engagement platform that empowers brands to deliver relevant customer experiences across touchpoints using composable intelligence and BrazeAI. Recognized globally as a top workplace and a leader in marketing technology, Braze operates across numerous international offices and fosters a collaborative, hybrid working culture.

How to Apply

Candidates should apply directly on the official Braze careers page.

Skills and tech stack

BrazeAIMachine LearningRecommendation SystemsMulti-armed banditsReinforcement learningReinforcement Learning

Questions candidates ask

What products does the Intelligence team own?

The Intelligence team owns Content Optimizer, Item Recommendations, and the Intelligence Suite, which includes Intelligent Timing, Intelligent Channel, and Intelligent Selection.

How many years of experience are required for this role?

Candidates must have at least 5 years of Product Management experience.

Is machine learning experience mandatory to apply?

Previously shipped ML or AI-powered products are listed under bonus points rather than strict mandatory criteria, though familiarity with experimentation and model tradeoffs is advantageous.

Where is the position located?

The role is located in Toronto on a hybrid work schedule.

Ready to apply?

The application is on the official Braze careers page.

Apply on company site