Forward Deployed AI Accelerator

Braze • Austin, TX

2d • $110,000 - $166,000 • Hybrid

About The Position

Braze is building an internal AI Transformation function to change how every team at the company works. This team acts as practitioners, partnering directly with business units to make AI the default starting point for work. Within this team, Forward Deployed AI Accelerators rotate across the company's non-revenue functions — Marketing, Finance, People, Legal, Operations, and beyond — embedding with one function at a time to find the highest-value workflows, rebuild them around AI alongside the people who own them, and leave each team able to keep going without us. This role is the broad-coverage, rotational counterpart to a sibling team, Applied AI Architects, GTM, which applies the same craft permanently attached to specific stages of the revenue lifecycle. The team is product-minded and outcome-driven, treating the people they serve as users and their workflows as product surfaces. They build on shared infrastructure and tune what they ship based on adoption, output quality, and business impact. Braze employees are already building agents that compress multi-day workflows into minutes and tools that transform processes like research, reporting, and operational escalations. This team exists to accelerate that impact and systematically scale it across Braze.

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
• Experience running discovery or stakeholder research and translating it into a prioritized plan of work — problem statements, impact, and feasibility assessment, and clear next steps
• 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)
• 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 your immediate team
• Background in consulting, solutions engineering, technical program management, or other roles that combine technical depth with business context

Nice To Haves

• You are a builder and a deep AI practitioner.
• You are a researcher and systems thinker.
• You are an exceptional coach and communicator.
• You think like a product leader.
• You understand how business functions run.
• You are biased toward action and speed.
• You are comfortable with ambiguity.

Responsibilities

• Embed with a functional team or cross-functional cohort of approximately 15–25 people, learn their work deeply, and rebuild their highest-leverage workflows around AI alongside them.
• Operate as a researcher to find where the real friction and opportunity live.
• Operate as a builder to design and ship working agents on shared infrastructure.
• Operate as a coach to move a team from its first contact with AI to self-sufficiency.
• Run enablement and discovery across assigned functions, leading enablement sessions and stakeholder research 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, including problem statements, impact, and feasibility scoring, dependencies, and stakeholders, and use it to decide where to dig in and rebuild the process first.
• 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.
• 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, with the goal of independence, not dependence.
• Own quality during the engagement, then hand up the durable pieces by monitoring adoption, diagnosing output failures, and tuning continuously while embedded.
• Transition the cohort's load-bearing agents into the shared Platform layer so they run durably after rotation.
• Recognize patterns and scale what works, documenting every tool, playbook, and transformation pattern created so the full team can compound each other's work.
• Share wins visibly within the cohort and with leadership to create pull demand and celebrate what's working.
• Track individual and cohort progress against the maturity model.
• Complete an engagement when a defined share of the cohort can build and modify their own tools, and their load-bearing agents have been productized into the Platform layer, then move to the next function.
• Prepare cohorts for an agentic future, focusing on designing, building, and overseeing autonomous multi-agent workflows that handle real business processes.

Benefits

• Competitive compensation that may include equity
• Retirement and Employee Stock Purchase Plans
• Flexible paid time off
• Comprehensive benefit plans covering medical, dental, vision, life, and disability
• Family services that include fertility benefits and equal paid parental leave
• Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
• A 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 that provide supportive communities within Braze
• Collaborative, transparent, and fun culture recognized as a Great Place to Work®

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed