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About the Role

Braze is building an internal AI Transformation function to make AI the default starting point for work. The Forward Deployed AI Accelerator role involves rotating across non-revenue functions to embed with teams, rebuild workflows around AI, and enable them to become self-sufficient. This role is product-minded and outcome-driven, focusing on building and scaling AI impact across the company.

Responsibilities

• Embed with functional teams or cross-functional cohorts to deeply understand their work and rebuild high-leverage workflows around AI.
• Operate as a researcher to identify friction and opportunity, a builder to design and ship AI agents on shared infrastructure, and a coach to move teams toward self-sufficiency.
• Lead enablement sessions and stakeholder research to map intelligence gaps, manual effort, and workflow friction.
• Translate findings into a structured, prioritized backlog of problems to solve.
• Create custom tools, agents, automations, and prompts tailored to high-value workflows.
• Ship working solutions on real deliverables, not theoretical demos.
• Coach individuals through a progressive maturity model from awareness to self-sufficiency.
• Monitor adoption, diagnose output failures, and tune solutions continuously.
• Transition load-bearing agents into the shared Platform layer for durable operation after engagement.
• Document tools, playbooks, and transformation patterns to enable reuse and compounding of work.
• Share wins visibly to create demand and celebrate successes.
• Track individual and cohort progress against the AI maturity model.
• Complete engagements when a defined share of the cohort can build and modify their own tools and agents are productized.
• Prepare cohorts for an agentic future, including designing, building, and overseeing autonomous multi-agent workflows.

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 of changed work practices.
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
• Comfort working across multiple workstreams and relationships simultaneously.
• 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.
• Experience with change management, organizational transformation, or large-scale enablement programs.
• Familiarity with enterprise SaaS technology and data stacks.
• Experience building and scaling internal tools, templates, or playbooks that were adopted beyond the immediate team.
• Background in consulting, solutions engineering, technical program management, or similar roles.
• Comfort with ambiguity and thriving in an environment where the playbook is being rewritten.

Skills

• AI practitioner
• Agent building
• Automation development
• Tool building
• Real-time building alongside users
• Scoping and prioritizing solutions
• System architecture contribution
• Retrieval design contribution
• Output quality evaluation
• System-level diagnostics
• Researcher
• Systems thinking
• Stakeholder research
• Prioritized backlog creation
• Reusable component thinking
• Scalable playbook development
• Coaching
• Exceptional communication
• Product leadership thinking
• Workflow mapping
• Bias toward action and speed
• Python
• APIs
• Integrations
• Change management
• Organizational transformation
• Large-scale enablement
• AI development tools and platforms
• Claude
• Claude Code
• Cursor
• Custom agent frameworks
• Workflow automation tools
• Enterprise SaaS technology
• Data stacks
• Salesforce
• Slack
• Snowflake

Location

• United States

Work Type

• Hybrid

Experience Level

• 5+ years of professional experience

Salary/Compensations

• Expected pay range: $123,000 - $184,000/year
• Expected OTE: $145,000 - $217,000/year (including bonus or commission)

Benefits

• Equity grants of restricted stock (RSUs)
• Competitive compensation
• Retirement and Employee Stock Purchase Plans
• Flexible paid time off
• Comprehensive benefit plans covering medical, dental, vision, life, and disability
• 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
• Opportunities to give back to the community
• Annual company-wide Volunteer Week
• 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 for consumers and businesses.
• BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint for smarter, faster, and more meaningful customer engagement.
• 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.
• Braze has received multiple awards and recognitions, including G2 “Best of Marketing and Digital Advertising Software Product”, Best Places to Work by Built In, America’s Greenest Companies by Newsweek, and Fortune Best Workplace in Technology™.
• Braze is certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
• The company is headquartered in New York with offices in multiple global locations.

Equal Opportunity

• Braze is an equal opportunity employer.
• Braze strives to create equitable growth and opportunities inside and outside the organization.
• Braze is committed to offering all candidates a fair, accessible, and inclusive experience regardless of protected characteristics.
• Candidates are encouraged to apply even if they do not meet 100% of the criteria.
• AI-assisted tools are used in the recruitment process for screening and administrative support, with human oversight for hiring decisions.
• Candidates may have the right to request further information about AI use, opt out of AI-assisted review, request manual review, or contest decisions.
• Information regarding AI use in recruitment, bias audit results, and candidate privacy is available upon request or via provided links.