Forward Deployed AI Accelerator

About the role

Braze is building an internal AI Transformation function to change how every team at the company works. Not as a center of excellence that publishes best practices from a distance, but as a team of practitioners partnering directly with business units to make AI the default starting point for work.

Responsibilities

• Embed with a functional team or cross-functional cohort of approximately 15–25 people, learning their work deeply, and rebuilding their highest-leverage workflows around AI alongside them.
• Operate across three modes: as the researcher who finds where the real friction and opportunity live, as the builder who designs and ships working agents on shared infrastructure, and as the coach who moves a team from its first contact with AI to self-sufficiency — and then rotates to the next function.
• Run enablement and discovery across your assigned functions. Lead enablement sessions and stakeholder research across the teams you cover to map where intelligence gaps, manual effort, workflow friction, and handoff failures are most acute. Translate findings into a structured, prioritized backlog of problems to solve.
• Create custom tools, agents, automations, and prompts tailored to the highest-value workflows, contributing directly to system architecture, retrieval logic, and output calibration on top of shared infrastructure. Ship working solutions on real deliverables, not theoretical demos.
• Coach toward self-sufficiency. Move people through a progressive maturity model: from awareness to first win to regular AI integration to full workflow transformation to self-sufficiency. Meet people where they are, and teach them to build and iterate on their own tools over time.
• Own quality during the engagement, then hand up the durable pieces. Monitor adoption, diagnose output failures, and tune continuously while you're embedded. As the engagement matures, transition the cohort's load-bearing agents into the shared Platform layer so they run durably after you rotate out — you operate what you ship until it's productized, not before.
• Document every tool, playbook, and transformation pattern you create so the full team can compound each other's work.
• Build momentum. Share wins visibly within your cohort and with leadership to create pull demand and celebrate what's working. Track individual and cohort progress against the maturity model.
• Recognize patterns and scale what works. A tool built for one team should become reusable infrastructure for the next.
• Prepare cohorts for an agentic future. Not just prompt writing, but designing, building, and overseeing autonomous multi-agent workflows that handle real business processes.

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 (not just using AI as a chatbot), with concrete examples you can speak to in depth.
• 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 (e.g., Python, APIs, integrations) without always requiring translation from an engineering counterpart.
• Track record of coaching, teaching, or enabling others, with evidence that people you'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 your approach to different learners.
• Comfort working across multiple workstreams and relationships simultaneously (you'll be supporting 15–25 people at varying stages of their AI journey).
• Experience in marketing, finance, people/HR, legal, operations, or a closely adjacent business function.
• Experience building and scaling internal tools, templates, or playbooks that were adopted beyond your immediate team.
• 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 with AI development tools and platforms (e.g., Claude, Claude Code, Cursor, custom agent frameworks, API integrations, workflow automation tools).

Qualifications

• Product Management background or experience, with demonstrated ability to ship things people actually use.
• Background in consulting, solutions engineering, technical program management, or other roles that combine technical depth with business context.

Skills

• 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 (e.g., Python, APIs, integrations).
• Experience 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.
• Experience building and scaling internal tools, templates, or playbooks that were adopted beyond your immediate team.
• Experience in marketing, finance, people/HR, legal, operations, or a closely adjacent business function.
• Experience with enterprise SaaS technology and data stacks (e.g., Salesforce, Slack, and Snowflake).

Benefits

Braze offers a comprehensive Total Rewards package that includes competitive compensation, equity grants of restricted stock (RSUs), retirement and Employee Stock Purchase Plans, flexible paid time off, and a variety of comprehensive benefit plans covering medical, dental, vision, life insurance, disability, and more. Specific benefits offerings vary by location.