Applied AI Architect, GTM

Braze

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Austin, TXNew York, NY
Salary: $111,000–$166,000 / yr
Posted: 94 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 $138k

$93k most similar roles pay here $275k

This role pays less than 94% of similar roles. Most pay $165,500–$250,071 — the shaded band above. At the midpoint, this role pays about $138k 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 focused on pioneering how modern revenue teams operate with artificial intelligence. You will own specific areas of the revenue lifecycle, acting as both a practitioner and a builder to design, refine, and manage AI agents, intelligence layers, and automation tools. Your daily work involves conducting stakeholder research to identify workflow friction, building systems on shared infrastructure, and ensuring these tools provide measurable value in live GTM workflows. You will utilize Python, APIs, and integration logic while leveraging tools like Claude, Cursor, and various automation platforms. The role addresses the challenge of scaling human judgment across large-scale enterprise sales processes, specifically targeting improvements in deal cycles, renewal planning, and customer engagement for a global SaaS organization by creating durable, high-quality AI-powered decision support systems.

Skills

AI Python APIs Retrieval Logic Prompt Design Workflow Automation Claude Cursor Salesforce Gong Slack Snowflake Data Workflows System Architecture 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 practices.
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 and data workflows.
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 with AI development tools (e.g., Claude, Cursor) and enterprise SaaS stacks (e.g., Salesforce, Gong, Snowflake).
You must demonstrate the ability to take solutions from initial problem identification through to full field adoption.
You must possess strong field credibility sufficient for executive-level customer engagement and business reviews.
A Product Management background or experience is preferred.

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