Forward Deployed AI Accelerator

BrazeNew York, NY
$123,000 - $184,000Hybrid

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, etc.), 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 continue independently. This role is a rotational counterpart to a sibling team focused on revenue functions. The team is product-minded and outcome-driven, treating users and their workflows as product surfaces, building on shared infrastructure, and tuning 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.
  • Experience running discovery or stakeholder research and translating it into a prioritized plan of work (problem statements, impact, feasibility assessment, 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).
  • 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 (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 their immediate team.
  • Background in consulting, solutions engineering, technical program management, or other roles that combine technical depth with business context.
  • Comfort with ambiguity and thriving in an environment where the playbook will be rewritten as the team learns.

Responsibilities

  • Embed with a functional team or cross-functional cohort (approx. 15-25 people) to deeply learn their work and rebuild their highest-leverage workflows around AI alongside them.
  • Operate as a researcher to find real friction and opportunity, a builder to design and ship working agents on shared infrastructure, and 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, 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 first win to regular AI integration to full workflow transformation to self-sufficiency.
  • Own quality during the engagement, monitoring adoption, diagnosing output failures, and tuning continuously.
  • Transition load-bearing agents into the shared Platform layer as the engagement matures, ensuring they run durably after rotation.
  • Recognize patterns and scale what works, documenting tools, playbooks, and transformation patterns for reusability.
  • Build momentum by sharing wins visibly within cohorts and with leadership to create demand and celebrate successes.
  • Track individual and cohort progress against the maturity model.
  • Know when to rotate, completing an engagement when a defined share of the cohort can build and modify their own tools and their load-bearing agents have been productized.
  • 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®
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