20 days ago
Base Salary
$111k - $166k/yr
Responsibilities
- Research GTM stakeholder workflows from pre-sales through post-sales and create a prioritized backlog of problems, impacts, dependencies, and stakeholders.
- Build and refine AI agents, including system architecture, retrieval logic, output calibration, and working workflow solutions.
- Stay embedded in pipeline reviews, deal cycles, QBRs, renewal planning, and account strategy sessions.
- Own system reliability and quality by monitoring adoption, diagnosing failures, and continuously tuning shipped systems.
- Validate field signals, structure deal and customer patterns, and improve the shared knowledge hub and agent outputs.
- Identify reusable patterns and scale successful solutions across account scenarios, customer segments, and deal stages.
- Partner with Growth Engineering, PMM, Solutions Consulting, Pricing, Customer Success, and leadership to drive adoption.
- Help define the operating playbook for Braze’s emerging Applied AI GTM function.
Requirements
- At least 6 years of professional experience in a GTM role with direct commercial-motion involvement at a B2B SaaS company.
- Hands-on experience building AI-powered tools, agents, automations, or workflows that changed real work processes.
- Technical fluency in integration architecture, agent-output evaluation, prompt design, retrieval logic, and data workflows, including Python and APIs.
- Strong understanding of enterprise sales workflows, deal stages, and the operating realities of AEs, SCs, BDRs, sales leaders, CS, and business value teams.
- Experience with executive-level customer engagement and sufficient field credibility to influence enterprise opportunities or business reviews.
- Track record of taking solutions from problem identification through field adoption rather than handing them off after development.
- Ability to balance multiple workstreams involving field engagement, system building, and continuous refinement.
- Product Management background or equivalent experience shipping tools that users adopt.
- Experience in Solutions Consulting, Solutions Engineering, or field architecture within enterprise SaaS.
- Proficiency with AI development tools and platforms such as Claude, Claude Code, Cursor, custom agent frameworks, API integrations, and workflow automation tools.
- Familiarity with enterprise SaaS technologies such as Salesforce, Gong, Slack, and Snowflake.
- Experience scaling internal tools or systems beyond an immediate team and evaluating deal data or output failures to build data-driven recommendations.
Benefits
- U.S. base pay is listed at $111,000-$166,000 per year; equity, bonus, and commission may also apply but are excluded from the base salary field.
- Hybrid work model with a curated in-office employee experience.
- Retirement and Employee Stock Purchase Plans.
- Flexible paid time off and comprehensive medical, dental, vision, life, and disability benefits.
- Fertility benefits and equal paid parental leave.
- Professional development, formal career pathing, learning platforms, and a yearly learning stipend.
- Volunteer Week, donation matching, and Employee Resource Groups.
- Collaborative culture recognized as a Great Place to Work®.
Tech Stack
PythonSnowflake
Categories
About Braze
Braze builds a customer engagement platform used by marketing teams to orchestrate cross-channel messaging across mobile, email, web, and more. The company sells its software via SaaS subscriptions with analytics, segmentation, and journey orchestration. Founded in 2011 and headquartered in New York, Braze is a public company (NASDAQ: BRZE) with global offices.