Braze

Applied AI Architect, GTM

Chicago

Sponsorship not specifiedDetected 5 days ago

PythonSnowflakeAgentic AIProduct ManagementSalesforceSalesAccount ManagementCustomer SuccessResearchLeadership

About the role

We're a genuinely approachable, exceptionally kind, and intensely passionate crew.
There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back.

As an Applied AI Architect, you will own a defined surface area across the revenue lifecycle and use AI to transform how Braze executes within it.
Build and refine AI agents tailored to your area of the revenue lifecycle, contributing directly to system architecture, retrieval logic, and output calibration on top of shared infrastructure. Ship working solutions against real workflows
Partner with Growth Engineering, PMM, Solutions Consulting, Pricing, Customer Success, and leadership to ensure the systems you build are grounded in a cross-functional context and adopted by the people they serve.
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

You are highly autonomous, technically minded, self-directed, and comfortable operating as a senior individual contributor in a new domain.
You are a builder.
You have spent a meaningful amount of time in a revenue role.
You know what a discovery call that misses the real objection sounds like.
You understand the daily reality of AEs, SCs, BDRs, sales directors, CSMs, and account managers, because you have either done their job or worked closely alongside them for years.
You know the difference between shipping something and shipping something people actually use.
You are a pattern recognizer and systems thinker.
You are field-attached by instinct.
You are playing a long game.
Strong understanding of enterprise sales workflows, deal stages, and the daily operating reality of the GTM personas you will be building for: AEs, SCs, BDRs, sales leadership, CS, and business value teams

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 (e.g., Claude, Claude Code, Cursor, custom agent frameworks, API integrations, workflow automation tools)
Familiarity with enterprise SaaS technology stacks (e.g., Salesforce, Gong, Slack, Snowflake)
Why this role matters
The best GTM practitioners, whether they are closing new business, managing renewals, or driving expansion, operate partly on instincts and context that others don't always have access to.
Those instincts are built over years of field exposure, thousands of customer interactions, and pattern recognition that compounds with experience.
The person who is both is in a unique position, and that intersection is where this role sits.

Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Strong understanding of enterprise sales workflows, deal stages, and the daily operating reality of the

For candidates based in the United States, the 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 (includ

The system gets better because the individuals building it never leave the commercial and customer motion.

You'll operate across three modes simultaneously: as the practitioner whose field judgment (in part) the agents in your domain are modeled after, as the builder who designs and refines those agents on top of shared infrastructure, and as the observer who determines whether the outputs are actually changing how GTM teams engage with customers and prospects.
At Braze, we have found our people.

This listing is sourced directly from Braze's careers page and normalized into a canonical job model.