Senior Manager, GTM AI Engineer — Revenue Enablement
About The Position
Brex is seeking a Senior Manager, GTM AI Engineer for Revenue Enablement. This is a net-new, highly impactful role responsible for transforming AI experiments into a governed, prioritized, production-grade AI capability for the entire Go-To-Market (GTM) organization. The role requires a hybrid of strategist, engineer, and embedded partner who can set the roadmap for GTM AI investment, build and ship critical applications, and drive adoption with sales teams. This individual will act as a key liaison between Sales, Revenue Operations, Product, and Engineering. The GTM Enablement team at Brex focuses on systems that enhance seller effectiveness, including certification, onboarding, collateral, and skill development, with AI serving as the primary mechanism. The role involves setting the internal sales enablement AI roadmap, prioritizing AI application development across the enablement lifecycle, and making build-vs-buy decisions for enablement capabilities. A deep understanding of the sales domain and processes is crucial to identify areas where AI can provide significant leverage.
Requirements
- 4+ years in a role combining go-to-market (Revenue Ops or Enablement) with 1+ year focused on building sales-technology domain work.
- Proven ability to ship production code (Python/TypeScript or comparable).
- LLM/agentic application experience strongly preferred.
- Real fluency in sales process and domain knowledge.
- Track record of defining and tracking success metrics for initiatives.
- Experience driving adoption, not just deployment.
- Comfort operating with high autonomy and ambiguity.
- A bias toward governance and simplicity.
Responsibilities
- Set the internal sales enablement AI roadmap, including a prioritization framework for building AI applications and tooling across the enablement lifecycle (certification, onboarding, content, coaching, ramp).
- Decide which AI applications to build, sunset, and why.
- Build and standardize the GTM AI tooling stack by writing, reviewing, and shipping production code.
- Make strategic build-vs-buy decisions for enablement capabilities, evaluating third-party vendors against in-house solutions.
- Develop a clear framework for determining when to purchase a point solution versus when to own it internally.
- Gain deep understanding of the sales domain, including the sales process, pipeline stages, seller CRM workflows, quota mechanics, and what constitutes effective sales calls, to identify AI leverage points.
- Drive adoption of AI tools and applications among sales teams.
- Collaborate with Sales, Revenue Operations, Product, and Engineering teams.
Benefits
- Global corporate cards and banking
- Intuitive spend management
- Bill pay
- Travel software
- AI-native automation
- World-class service
- Tools, resources, and support for career growth
- Up to four weeks per year of fully remote work
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
