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About the Role

Join our growing Engineering team to help design, improve, and scale Braze's self-learning (reinforcement learning) AI platform. Implement AI pipelines in production at scale, learning about data architecture, data science, and self-learning AI. Work in a team that practices development best practices including unit & integration tests, modular design, CI/CD, pair programming, and code reviews.

Responsibilities

• Use robust software engineering best practices to design, implement, and improve modular components in a cutting-edge ML product
• Work closely with Braze customers to understand, translate and generalize particular use cases to generic platform components
• Apply extensive knowledge of Python and its ecosystem to produce clean, readable, and extendible code, and coach others on the team
• Collaborate with teams responsible for Braze’s product strategy and roadmap
• Support teams implementing Braze for customers to ensure their success

Requirements

• Exceptional coder: writes clean, object-oriented code; cares about good design and terse, testable APIs
• Tinkerer: regularly explores and learns new technologies and methods, especially in data architecture and data science
• Entrepreneurial: proactively identifies opportunities and risks, works around obstacles, and seeks creative ways to improve processes and outcomes
• Structured and organized: can structure a plan, align stakeholders, and see it through to execution
• Clear communicator: able to express yourself clearly and persuasively, both in writing and speech
• 2+ years of experience working with Python in a product setting
• 1+ years of experience in the data/machine learning ecosystem
• Experience working with at least one major cloud platform (GCP, AWS, Azure, etc)
• Experience putting ML models into production
• General understanding of supervised learning principles is a plus

Skills

• Python
• Pyspark
• Polars
• Ibis
• SQL
• BigQuery
• FastAPI
• Kubernetes
• Airflow
• Terraform
• GCP

Location

• New York
• Austin
• Berlin
• Bucharest
• Chicago
• Dubai
• Jakarta
• London
• Paris
• San Francisco
• São Paulo
• Singapore
• Seoul
• Sydney
• Tokyo

Work Type

• Hybrid

Experience Level

• 2+ years of experience working with Python in a product setting
• 1+ years of experience in the data/machine learning ecosystem

Salary/Compensations

• CA$153,815 - CA$250,039/year (base)
• CA$172,000 - CA$279,600/year (OTE including performance-based or variable compensation)

Benefits

• Equity grants of restricted stock (RSUs)
• Comprehensive benefits covering medical, dental, vision, life, and disability
• Retirement and Employee Stock Purchase Plans
• Flexible paid time off
• Family services including fertility benefits
• Equal paid parental leave
• Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
• Curated in-office employee experience designed to foster community, team connections, and innovation
• Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
• Employee Resource Groups
• Collaborative, transparent, and fun culture recognized as a Great Place to Work®

About the Company

• Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™.
• Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses.
• Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement.
• From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
• The company has been consistently recognized as a Leader in marketing technology by industry analysts.
• Named a G2 “Best of Marketing and Digital Advertising Software Product” in 2026.
• Named a 2026 Best Places to Work by Built In.
• Named a 2025 America’s Greenest Companies by Newsweek.
• Named a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®.
• Proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.

Equal Opportunity

• Braze is an equal opportunity employer.
• We strive to create equitable growth and opportunities inside and outside the organization.
• We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran.
• If you hesitate to apply for a role unless you meet 100% of the criteria, we encourage you to apply, as we’d love to meet you.