Forward Deployed AI Accelerator

Braze•New York City, NY

1d•Hybrid

About The Position

Braze is establishing an internal AI Transformation function to revolutionize how every team operates. This team will function as practitioners, collaborating directly with business units to integrate AI as the default starting point for work. The Forward Deployed AI Accelerators will rotate across the company's non-revenue functions, including Marketing, Finance, People, Legal, and Operations. They will embed with one function at a time to identify high-value workflows, rebuild them with AI in partnership with the existing teams, and ensure those teams can continue independently after the accelerator rotates out. This role is the rotational counterpart to the Applied AI Architects, GTM team, which focuses on the revenue lifecycle. The team is product-minded and outcome-driven, treating users and their workflows as product surfaces, building on shared infrastructure, and optimizing based on adoption, output quality, and business impact. Braze employees are already developing agents that significantly reduce workflow times and tools for research, reporting, and operational escalations. This team's purpose is to accelerate and scale this impact 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.
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 (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've used AI to fundamentally change how you work, and you can show your work.
You are a builder and a deep AI practitioner.
You build agents, automations, and tools fluently.
You don't just know what AI can do in theory; you've built things that changed how real work gets done, and you can build in real time alongside the people you support.
You can scope and prioritize solutions, contribute to system architecture and retrieval design, evaluate outputs for quality, and diagnose why something was missed at the system level rather than just the content level.
You are a researcher and systems thinker.
You can walk into a function you don't know, run the interviews and sessions that surface where the real friction is, and turn what you hear into a prioritized, defensible backlog.
When you build something that works for one person or team, you immediately see how it applies to ten others, and you think in reusable components and scalable playbooks.
You are an exceptional coach and communicator.
You can meet people wherever they are, from skeptical to enthusiastic.
You create desire for progress and adapt your approach to each person.
You know that adoption is a human problem, not a technology problem.
You think like a product leader.
When you identify a gap, you scope the problem, define the user, map the workflow, and build the solution.
You treat the people you serve as your users and their workflows as your product surface, and you know the difference between shipping something and shipping something people actually use.
You understand how business functions run.
You've worked in or closely with the kinds of teams you'll be embedded in (marketing, finance, people, legal, operations).
You know that understanding someone's work is a prerequisite to transforming it.
You are biased toward action and speed.
You'd rather show someone a working proof of concept on their actual deliverable today than present a polished deck on what's theoretically possible next quarter.
You are comfortable with ambiguity.
This is a new team building a new operating model at Braze. The playbook will be rewritten as we learn, and you thrive in that environment.

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 real friction and opportunity exist.
Operate as a builder to design and ship working agents on shared infrastructure.
Operate as a coach to move a team from initial AI contact to self-sufficiency.
Run 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.
Move people through a progressive maturity model: from awareness to first win to regular AI integration to full workflow transformation to self-sufficiency.
Teach individuals to build and iterate on their own tools over time, aiming for independence.
Own quality during the engagement, monitor adoption, diagnose output failures, and tune continuously.
Transition load-bearing agents into the shared Platform layer for durable operation after rotation.
Document tools, playbooks, and transformation patterns to enable team-wide learning and compounding of work.
Share wins visibly to create demand and celebrate successes.
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 rotate to the next function.
Prepare cohorts for an agentic future, focusing on designing, building, and overseeing autonomous multi-agent workflows.

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®