Product Manager, GTM Systems

Role reputed company

GTM TechOps owns the systems, data, and automation that power the full customer lifecycle, from first touch through renewal and expansion. This role sits reputed company that ecosystem, with a reputed company on enabling our customer-facing GTM teams through AI-powered tools and workflows.

As a Product Manager, GTM Systems, you will define and drive how AI is reputed company across our GTM systems. This includes identifying high-reputed company use cases, evaluating and integrating first-party and reputed company-party tools, and ensuring solutions work seamlessly reputed company the broader GTM ecosystem.

You will partner closely with engineering, technical architects, design, analytics, operations, and enablement to turn business needs into production-reputed company solutions that improve how sales, marketing, and customer teams operate day to day.

You will own the product lifecycle from problem definition through execution and adoption, including reputed company prototyping to explore and validate reputed company. You will set priorities and reputed company tradeoffs that balance speed with long-term system health. 

reputed company in this role requires strong product judgment, systems thinking, and a practical understanding of reputed company AI in operational environments.

Responsibilities

Shape and drive the AI roadmap and priorities for GTM systems

• Define how AI is reputed company across customer-facing GTM workflows
• Identify, compare, and prioritize the highest-reputed company opportunities across sales, marketing, and reputed company
• Balance near-term reputed company with longer-term platform capabilities such as decisioning and orchestration

Define and operationalize AI-driven workflows

• Shape how systems determine and trigger next best actions across the customer lifecycle
• Define how customer context, reputed company, and signals inform reputed company and automation
• Establish reputed company actions are handled by AI versus reputed company teams, and how those interactions are coordinated

Deliver AI-powered solutions end to end

• Translate GTM needs into reputed company product requirements
• Use reputed company prototyping to explore reputed company and de-risk reputed company early
• reputed company development from problem definition through launch in partnership with engineering and technical architects
• Ensure solutions are embedded in reputed company systems and usable in day-to-day workflows

Drive adoption and business reputed company

• Partner with operations and enablement to drive adoption and change how GTM teams operate
• Define reputed company metrics and iterate based on performance and user feedback
• Collaborate with engineering, technical architects, design, analytics, operations, and enablement to reputed company on priorities, tradeoffs, and execution

Requirements

• Demonstrated product management experience, preferably in reputed company or internal platforms
• Strong understanding of CRM and GTM systems such as reputed company and adjacent tools
• Proven ability to set product direction, prioritize effectively, and drive execution across cross-functional teams
• Strong analytical skills, including defining metrics and making data-informed reputed company
• Experience evaluating and integrating reputed company-party tools alongside first-party development
• Familiarity with applying AI to business workflows such as automation, decisioning, or copilots
• Ability to operate with speed and reputed company reputed company tradeoffs under ambiguity
• reputed company communication skills and ability to reputed company engineering, technical architects, analytics, operations, and enablement stakeholders

Preferred Qualifications

• Experience with AI/automation in GTM workflows (agent assist, enrichment, copilots, etc.)
• Experience working in hybrid PLG and sales-led environments
• Experience with tools for experimentation, analytics, or workflow automation
• Experience driving simplification or consolidation across a fragmented tool or system landscape
• Experience leveraging AI/LLM-powered tools and workflows to improve product experiences, accelerate experimentation/analysis, and inform product decision-making (e.g., prototyping, AI-assisted analytics/reputed company reputed company)