Senior Manager, AI Product Owner, GTM Applications

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

📋 Description

• Take ownership of the AI product roadmap for the GTM apps team, ensuring alignment with business OKRs and the AI strategy.

• Discover AI opportunities within Lead-to-Cash and customer success processes via business workshops, ideation sessions, and executive discussions.

• Define, prioritize, and refine the backlog for agentic workflows across the Sales, Marketing, and Customer Success platforms.

• Convert business requirements into epics, user stories, and acceptance criteria for the engineering team.

• Make decisions regarding Build vs. Buy for agentic capabilities in complex application environments.

• Collaborate with the Business to define and monitor AI-specific KPIs, such as model accuracy, agent task completion rates, hallucination rates, business ROI, data privacy compliance, fairness reviews, and responsible-use policies.

• Design and advocate for prompt-engineering standards and context-window optimization strategies across GTM features.

• Work alongside Data and Analytics teams to ensure GTM data is AI-ready, clean, structured, and governed for access.

• Promote AI-first product thinking and drive metrics for AI adoption throughout the GTM IT organization.

• Integrate agentic AI and LLM-powered tooling as a fundamental aspect of the practice.

• Stay updated on the latest AI/ML technologies and implement them within GTM systems.

• Advocate for automation-first thinking and agentic solutions.

• Leverage AI technologies to improve decision-making, streamline workflows and processes, enhance efficiency, and drive business results.

⛳️ Requirements

• A Bachelor's degree in Business, Computer Science, Information Systems, or a related field.

• Over 8 years of product management experience, including at least 2 years in enterprise SaaS or GTM technology with an emphasis on AI.

• Demonstrated success in delivering AI or automation products from inception to completion.

• Strong knowledge of GTM business processes, including Lead-to-Cash, CPQ, CRM, and Marketing Automation.

• Practical experience with Agentic AI, LLMs, or AI workflow platforms.

• Working knowledge of RAG architecture, prompt engineering patterns, and LLM API capabilities, including OpenAI, Anthropic, AWS Bedrock, and SaaS Agents.

• Experience in Agile/Scrum environments working with cross-functional engineering teams.

• Ability to navigate uncertainty, as AI features are probabilistic rather than deterministic.

• Background in the Go to Market IT space.

• Familiarity with Amazon Bedrock, Salesforce Agentforce, and GCP product features.

• Understanding of MCP (Model Context Protocol) and agent interoperability standards.

• Prior experience in a rapidly growing SaaS or cybersecurity organization.

🏝️ Benefits

• Competitive compensation and equity awards that set the market standard.

• Comprehensive wellness programs for both physical and mental health.

• Generous vacation and holiday allowances to ensure ample time for rejuvenation.

• Paid parental and adoption leave policies.

• Opportunities for professional development available to all employees, regardless of position or level.

• Employee Networks, local neighborhood groups, and volunteer opportunities to foster connections.

• A vibrant office culture featuring world-class amenities.

• Performance bonuses.

• Equity grants.

• Comprehensive health insurance coverage.

• 401k plan.

• Paid time off.