Director, AI Products – GTM & RevOps
New
C
CoupaSpend management software
Listing location: Los Angeles, California, United States; Workplace type: RemoteFull-TimeDirector
Salary173,000 - 242,333 USD per year
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Job Details
- Experience
- 10+ years of product management, strategy, or enterprise program management experience
- Required Skills
- Product Management
Requirements
- 10+ years of product management, strategy, or enterprise program management experience.
- Track record of shipping software solutions in sales technology, CRM, or revenue operations ecosystems.
- Deep functional knowledge of the GTM lifecycle, including lead-to-opportunity flows.
- Knowledge of CRM architecture and enterprise-scale sales data modeling.
- Experience evaluating and orchestrating different AI agent architectures, models, and purpose-built platforms.
- Hands-on experience architecting, building, and scaling AI agents.
- Ability to own the AI agent lifecycle from rapid prototyping through production-grade deployment.
- Ability to develop and maintain complex agentic workflows autonomously.
- Ability to influence senior cross-functional leaders, including Sales, RevOps, and Legal, without direct authority.
- Ability to translate technical AI constraints into plain-English business solutions.
- Ability to adapt product focus in high-ambiguity environments while maintaining operational rigor.
Responsibilities
- Develop and own the GTM AI strategy, operating model, and rolling roadmap.
- Translate sales and revenue operations requirements into structured product requirements for AI Platform and AI Engineering teams.
- Prioritize agentic use cases by business value and maintain the AI product backlog.
- Facilitate backlog grooming, manage dependencies and scope, and coordinate delivery milestones with the Enterprise PMO.
- Deconstruct GTM processes into agent sequences and define boundaries for autonomous actions and human handoffs.
- Partner with AI Solution Architects and stakeholders to select models, platforms, and technology stacks for use cases.
- Build and own dashboards to track agent performance, error rates, and system reliability.
- Lead agent testing with sales representatives and define deployment readiness and output validation.
- Drive communications, training, and adoption initiatives, including a network of Sales Power Users.
- Embed governance and compliance guardrails for predictable and secure agent behavior.
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