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About the Role

Braze is building an internal AI Transformation function to embed AI practitioners directly with business units, making AI the default starting point for work. The Forward Deployed AI Accelerator role involves rotating across non-revenue functions to identify high-value workflows, rebuild them with AI alongside the people who own them, and enable teams to continue independently. This role is product-minded and outcome-driven, focusing on building agents and tools that compress workflows and improve processes.

Responsibilities

Embed with a functional team or cross-functional cohort of approximately 15–25 people to deeply learn their work and rebuild their highest-leverage workflows around AI.
Operate as a researcher to find where friction and opportunity lie, as a builder to design and ship working agents on shared infrastructure, and as a coach to move a team from first contact with AI to self-sufficiency.
Lead enablement and discovery sessions across assigned functions (e.g., Marketing, Finance, People, Legal, Operations) to map intelligence gaps, manual effort, workflow friction, and handoff failures.
Translate findings into a structured, prioritized backlog of problems to solve, including problem statements, impact and feasibility scoring, dependencies, and stakeholders.
Create custom tools, agents, automations, and prompts tailored to high-value workflows, contributing to system architecture, retrieval logic, and output calibration on top of shared infrastructure.
Ship working solutions on real deliverables, not theoretical demos.
Coach people through a progressive maturity model from awareness to self-sufficiency, teaching them to build and iterate on their own tools.
Monitor adoption, diagnose output failures, and tune continuously while embedded.
Transition load-bearing agents into the shared Platform layer to run durably after rotation.
Document every tool, playbook, and transformation pattern created to enable compounding work across the team.
Share wins visibly within cohorts and with leadership to create demand and celebrate successes.
Track individual and cohort progress against the maturity model.
Rotate to the next function when an engagement is complete, defined by the cohort's ability to build and modify their own tools and the productization of load-bearing agents.
Prepare cohorts for an agentic future by designing, building, and overseeing autonomous multi-agent workflows.
Identify reusable components and scalable playbooks for broader application.

Requirements

5+ years of professional experience in a role requiring analytical thinking, problem-solving, and cross-functional collaboration.
Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes.
Experience running discovery or stakeholder research and translating it into a prioritized plan of work.
Technical fluency sufficient to engage credibly on integration architecture, evaluate agent outputs at the system level, and contribute to prompt design, retrieval logic, and data workflows.
Track record of coaching, teaching, or enabling others, with evidence that people they've worked with actually changed how they work.
Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt approach to different learners.
Comfort working across multiple workstreams and relationships simultaneously.
Product Management background or experience, with demonstrated ability to ship things people actually use.
Experience in marketing, finance, people/HR, legal, operations, or a closely adjacent business function.
Proficiency with AI development tools and platforms (e.g., Claude, Claude Code, Cursor, custom agent frameworks, API integrations, workflow automation tools).
Experience with change management, organizational transformation, or large-scale enablement programs.
Familiarity with enterprise SaaS technology and data stacks (e.g., Salesforce, Slack, and Snowflake).
Experience building and scaling internal tools, templates, or playbooks that were adopted beyond their immediate team.
Background in consulting, solutions engineering, technical program management, or other roles that combine technical depth with business context.
Must be prepared to set a high bar for oneself and others.
Must act with autonomy, have accountability, and be open to new perspectives.
Must be driven to solve exhilarating challenges and have a bias toward action in the face of change.

Skills

AI practitioner
Building agents, automations, and tools
Scoping and prioritizing solutions
System architecture
Retrieval design
Evaluating outputs for quality
Diagnosing system-level issues
Researcher
Systems thinker
Stakeholder research
Prioritized backlog creation
Reusable components
Scalable playbooks
Coaching
Exceptional communicator
Product leader mindset
Business function understanding
Bias toward action and speed
Comfort with ambiguity
Analytical thinking
Problem-solving
Cross-functional collaboration
AI-powered tool development
Workflow transformation
Discovery and stakeholder research
Technical fluency (Python, APIs, integrations)
Coaching/teaching/enabling others
Written and verbal communication
Multi-workstream management
Product Management
AI development tools and platforms
Change management
Organizational transformation
Large-scale enablement programs
Enterprise SaaS technology
Data stacks
Internal tool development
Template creation
Playbook development
Consulting
Solutions engineering
Technical program management

Location

United States

Work Type

Hybrid

Experience Level

5+ years of professional experience

Salary/Compensations

Expected pay range: $110,000 - $166,000/year
Expected OTE: $131,000 - $195,000/year (including bonus or commission)
Includes equity grants of restricted stock (RSUs)

Benefits

Competitive compensation
Equity grants
Retirement Plans
Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans (medical, dental, vision, life, disability)
Family services (fertility benefits, equal paid parental leave)
Professional development (formal career pathing, learning platforms, yearly learning stipend)
Curated in-office employee experience
Opportunities to give back to the community (annual Volunteer Week, donation matching)
Employee Resource Groups
Collaborative, transparent, and fun culture

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 for consumers and businesses.
Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint.
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.
Headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.

Equal Opportunity

Braze is an equal opportunity employer.
Strive to create equitable growth and opportunities inside and outside the organization.
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.
Encourage candidates to apply even if they don't meet 100% of the criteria.