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 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.

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.

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe

Senior Manager, AI Product Owner, GTM Applications

Key skills