Director, AI Products – GTM & RevOps

This is a fully remote position, open to applicants in California.

📋 Description

• Develop and take ownership of a comprehensive go-to-market (GTM) AI strategy and scalable operating model for global operations.

• Serve as the primary AI intake lead for sales and revenue operations.

• Convert business requirements into product specifications for the AI Platform and AI Engineering teams.

• Prioritize actionable use cases using a data-informed business-value framework.

• Maintain and manage an AI roadmap along with the AI product backlog.

• Oversee backlog grooming, dependency management, and scope control processes.

• Drive operational rhythms, risk assessments, cross-functional synchronization, status reporting, and program tracking.

• Shape the long-term AI, data, and analytics strategy in collaboration with department leadership.

• Monitor AI agent market trends and competitive intelligence.

• Break down GTM processes into structured agent sequences and establish autonomous-action boundaries.

• Lead orchestration and technology stack decisions alongside AI Solution Architects.

• Create dashboards to monitor agent performance, error rates, and system reliability.

• Design seller-facing agent insights and direct validation and testing cycles.

• Implement change management, communications, training, and foster sales adoption.

• Cultivate Sales Power Users and integrate ongoing feedback.

• Embed governance, compliance, security, and trust frameworks.

⛳️ Requirements

• Over 10 years of experience in product management, strategy, or enterprise program management.

• Proven history of delivering software solutions within sales technology, CRM, or revenue operations environments.

• Extensive functional understanding of the GTM lifecycle, lead-to-opportunity processes, CRM architecture, and enterprise-scale sales data modeling.

• Experience in evaluating and orchestrating various AI agent architectures.

• Capability to influence senior cross-functional leaders without direct authority.

• Ability to translate technical AI limitations into understandable business solutions.

• Dexterity in high-ambiguity settings with rapidly changing priorities.

• Practical experience in architecting, building, and scaling AI agents.

• Competence to manage the entire AI agent lifecycle from rapid prototyping to production-level deployment.

• Ability to independently develop and sustain complex agentic workflows.

• Strategic understanding of the evolving AI-agent landscape, model capabilities, and integration patterns.

🏝️ Benefits

• Two designated company-wide paid wellness days off each year.

• Paid day off for birthdays.

• 40 hours of paid Volunteer Time Off annually.

• Free, confidential, 24/7/365 Employee Assistance Program counseling and resources.

• Business travel medical, safety, pre-trip planning, and emergency support.

• Monetary referral bonuses for successful hires.

• Comprehensive medical and dental insurance.

• Retirement and pension plans.

• Life or accident protection.