2 months ago
Base Salary
$123k - $184k/yr
Responsibilities
- Research GTM stakeholders and workflows from pre-sales through post-sales, identifying intelligence gaps, friction, and handoff failures.
- Create and prioritize problem backlogs with impact, feasibility, dependency, and stakeholder analysis.
- Build and refine AI agents, retrieval logic, automations, and decision-support systems on shared infrastructure.
- Stay embedded in pipeline reviews, deal cycles, QBRs, renewal planning, and account strategy sessions.
- Own system reliability and quality by monitoring adoption, diagnosing output failures, and continuously tuning shipped solutions.
- Validate field signals and structure deal and customer patterns in the shared knowledge hub.
- Scale successful solutions across account scenarios, customer segments, and deal stages.
- Partner cross-functionally with Growth Engineering, PMM, Solutions Consulting, Pricing, Customer Success, and leadership.
- Shape the emerging Applied AI function and its operating playbook.
Requirements
- 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 transformed real work processes.
- Technical fluency in integration architecture, system-level agent 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.
- Executive-level customer engagement experience and strong field credibility.
- Track record of taking solutions from problem identification through field adoption rather than handing them off after development.
- Ability to manage multiple workstreams while balancing field engagement, system building, and continuous refinement.
- Highly autonomous, self-directed senior individual contributor comfortable working in a new domain.
- Product Management background or equivalent experience shipping adopted solutions.
- 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.
- Analytical ability to evaluate deal data, diagnose output failures, and build data-driven recommendation systems.
Benefits
- Base pay for U.S.-based candidates is listed at $123,000-$184,000 per year, excluding bonus or commission.
- Equity grants in the form of restricted stock units may be included in the Total Rewards package.
- Retirement and Employee Stock Purchase Plans are offered.
- Flexible paid time off is provided.
- Medical, dental, vision, life, and disability benefits are available.
- Family services include fertility benefits and equal paid parental leave.
- Professional development includes formal career pathing, learning platforms, and a yearly learning stipend.
- The role uses a hybrid work model with a curated in-office experience.
- Employees can participate in Volunteer Week, donation matching, and Employee Resource Groups.
- Braze offers a 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.