Applied AI Architect

About the role

The Applied AI Architect role is part of Braze's GTM organization, tasked with pioneering AI-enabled revenue execution at a scaled global SaaS company. This role involves transforming the revenue lifecycle using AI, operating across three modes: practitioner, builder, and observer.

Responsibilities

• Conduct stakeholder research across the GTM motion to map out intelligence gaps, workflow friction, and handoff failures. Translate findings into a structured backlog of problems to solve.
• Build and refine AI agents tailored to your area of the revenue lifecycle, contributing to system architecture, retrieval logic, and output calibration on top of shared infrastructure.
• Stay embedded in regional operating rhythms, such as pipeline reviews, deal cycles, QBRs, renewal planning, and account strategy sessions.
• Own the reliability and quality of the systems you manage, monitoring adoption, diagnosing output failures, and tuning/iterating continuously.
• Contribute to the shared knowledge hub by validating field signals, structuring deals and customer patterns, and ensuring intelligence flows back into better agent outputs.
• Recognize patterns across your area and scale what works, making reusable infrastructure for adjacent situations.
• Partner with various functions to ensure systems are grounded in a cross-functional context and adopted by the people they serve.
• Help shape the function as it matures, contributing to the playbook of best practices.

Requirements

• 6+ years of professional experience in a GTM role with direct involvement in the commercial motion, such as Solutions Consulting, Account Executive, Sales Leader, or a comparable role at a B2B SaaS company.
• Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes.
• Technical fluency sufficient to engage credibly on integration architecture, evaluate agent outputs at the system level, and contribute directly to prompt design, retrieval logic, and data workflows.
• A strong understanding of enterprise sales workflows, deal stages, and the daily operating reality of GTM personas, including AEs, SCs, BDRs, sales leadership, CS, and business value teams.
• Strong field credibility with experience in executive-level customer engagement, sufficient to walk into an opportunity or executive business review and have the room take the output seriously.
• A track record of taking solutions from problem identification through field adoption, not just building and handing off.
• Comfort working across multiple workstreams simultaneously, balancing field engagement with system build and continuous refinement.
• Highly autonomous, self-directed, and comfortable operating as a senior individual contributor.

Preferred qualifications

• Product Management background or experience, either as a career transition into GTM or as a complement to a field role, with demonstrated ability to ship things people actually use.
• Experience in Solutions Consulting, Solutions Engineering, or field architecture roles 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 technology stacks, such as Salesforce, Gong, Slack, Snowflake.
• Experience building and scaling internal tools or systems that were adopted beyond your immediate team.
• Analytical capability sufficient to evaluate deal data, diagnose output failures, and build data-driven recommendation systems.

Pay and Benefits

The starting pay range for this position at the start of employment is expected to be between $111,000 and $166,000/year, with an expected On Target Earnings (OTE) between $131,000 and $195,000/year (including bonus or commission).

Braze offers a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs), among other benefits.