Applied AI Architect

About the role

The Applied AI Architect role is part of Braze's GTM organization, tasked with pioneering AI-enabled GTM execution at a scaled global SaaS company. This role involves transforming the revenue lifecycle with AI, working closely with GTM practitioners, and building systems that improve outcomes.

Responsibilities

• Conduct stakeholder research to map intelligence gaps and workflow issues, and prioritize areas for improvement.
• Build and refine AI agents tailored to specific areas of the revenue lifecycle, contributing to system architecture and output calibration.
• Stay embedded in regional operating rhythms to ensure systems are grounded in real-world scenarios and continuously refined.
• Owning the reliability and quality of systems managed, monitoring adoption, diagnosing failures, and tuning continuously.
• Contribute to a shared knowledge hub by validating field signals and ensuring intelligence flows back into the system.
• Recognize patterns across areas and scale successful solutions to adjacent situations.
• Partner with various functions to ensure systems are grounded in a cross-functional context and adopted by the people they serve.
• Shape the future of the Applied AI function as the role matures.

Requirements

• 6+ years of professional experience in a GTM role with direct involvement in the commercial motion.
• 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 such as AEs, SCs, BDRs, sales leadership, CS, and business value teams.
• Strong field credibility with experience in executive-level customer engagement.
• A track record of taking solutions from problem identification through field adoption.
• 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.

Qualifications

• Product Management background or experience, either as a career transition into GTM or as a complement to a field role.
• 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.

Skills

• Technical fluency in AI development and integration architecture.
• Understanding of enterprise sales workflows and deal stages.
• Field credibility and experience in executive-level customer engagement.
• Ability to build and refine AI agents and workflows.
• Pattern recognition and scalability thinking.
• Comfort with multiple workstreams and continuous refinement.
• Highly autonomous and self-directed approach.

Benefits

• Comprehensive benefits package.
• Equity grants of restricted stock (RSUs).

Pay

The starting pay range for this position at the start of employment is expected to be between $117,000 and $175,000/year, with an expected On Target Earnings (OTE) between $138,000 and $206,000/year (including bonus or commission).

Schedule

This role offers a hybrid schedule.