Applied AI Architect, GTM

Braze

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: San Francisco, CANew York City, NY
Salary: $123,000–$184,000 / yr
Posted: 96 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $208k

This role $154k

$107k most similar roles pay here $272k

This role pays less than 86% of similar roles. Most pay $165,375–$249,640 — the shaded band above. At the midpoint, this role pays about $154k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Braze

Braze is a leading cloud-based customer engagement platform that enables brands to foster human connection with consumers through interactive, real-time, cross-channel marketing.

Braze currently has 108 open roles on FindRole.

Listed pay typically runs $149,000–$234,000 across 107 roles with salary data.

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At a glance

TL;DR · Applied AI Architect, GTM

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As an Applied AI Architect, GTM, you will join a specialized team building an Applied AI function to pioneer how modern revenue teams operate with artificial intelligence. You will own specific areas of the revenue lifecycle, acting as both a builder and a practitioner to design, refine, and manage AI agents, intelligence layers, and automation tools. Your daily work involves conducting stakeholder research to identify workflow friction, developing retrieval logic, and ensuring system reliability across pre-sales and post-sales motions. You will utilize Python, APIs, and integration architectures while leveraging tools like Claude, Cursor, and various automation platforms. The role focuses on solving the challenge of scaling human judgment into durable systems within a complex B2B SaaS environment, specifically targeting enterprise sales workflows to improve outcomes for account executives, success managers, and other go-to-market professionals.

Skills

AI Python APIs Retrieval Logic Prompt Design Workflow Automation Claude Cursor Salesforce Gong Slack Snowflake Data Workflows Integration Architecture SaaS

What you'll do

Conduct stakeholder research to identify intelligence gaps and workflow friction in the revenue lifecycle.
Build and refine AI agents tailored to specific areas of the revenue cycle using shared infrastructure.
Monitor system adoption and continuously tune outputs based on field feedback and business impact.
Embed in regional operating rhythms to ensure systems are aligned with real-world GTM workflows.
Recognize patterns across scenarios to scale effective solutions as reusable infrastructure components.

What we're looking for

You must have at least 6 years of professional experience in a GTM role such as Solutions Consulting, Sales Leadership, or Account Executive.
You must have hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes.
You must possess technical fluency in Python, APIs, integrations, and prompt design to contribute to system architecture without constant engineering translation.
You must have a strong understanding of enterprise sales workflows, deal stages, and the daily operations of GTM personas like AEs and CSMs.
You must have experience in Solutions Consulting, Solutions Engineering, or field architecture roles within enterprise SaaS.
You must be able to demonstrate field credibility for executive-level customer engagement and business reviews.
You should have a Product Management background or experience as a complement to your field role (preferred).
You should be proficient with AI development tools like Claude, Cursor, and various workflow automation platforms (preferred).

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