Senior Manager, AI Product Owner, GTM Applications

Responsibilities

• Own the AI product roadmap for GTM apps team, aligned with business OKRs and AI strategy.
• Identify AI opportunities in Lead-to-Cash and customer Success processes by driving business workshops, ideation sessions and executive meetings.
• Define, prioritize, and groom the backlog for agentic workflows (autonomous agents, AI assisted workflows and LLM integrations) across sales, marketing, and customer success platforms.
• Translate business requirements into clear epics, user stories, and acceptance criteria for engineering.
• Make effective build vs buy decisions on agentic capabilities in a complex applications environment.
• Partner with business to define and track AI-specific KPIs: model accuracy, agent task completion rate, hallucination rate, business ROI, data privacy compliance, fairness reviews, and responsible use policies.
• Design and champion prompt engineering standards and context-window optimization strategies across GTM features.
• Partner with data and analytics teams to ensure GTM data is AI‐ready: clean, structured, and access‐governed.
• Evangelize AI‐first product thinking and drive AI adoption metrics across the GTM IT organization.
• Embrace agentic AI and LLM‐powered tooling as a core part of your practice.
• Stay current with rapidly evolving AI/ML technologies and apply them pragmatically to GTM systems.
• Champion automation‐first thinking – if it can be agentic, make it agentic.

Requirements

• Bachelor's degree in Business, Computer Science, Information Systems, or related field.
• 8+ years of product management experience, with at least 2 years in enterprise SaaS or GTM technology with focus on AI.
• Proven track record delivering AI or automation products end‐to‐end.
• Strong understanding of GTM business processes: Lead‐to‐Cash, CPQ, CRM, Marketing Automation.
• Hands‐on familiarity with agentic AI, LLMs, or AI workflow platforms.
• Working knowledge of RAG architecture, prompt engineering patterns, and LLM API capabilities (OpenAI, Anthropic, AWS Bedrock, SaaS Agents).
• Experience working in Agile/Scrum environments with cross‐functional engineering teams.
• Comfort operating under uncertainty – AI features are probabilistic, not deterministic.