GTM Systems & Automation Lead

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

📋 Description

• Oversee cross-functional GTM systems initiatives from initial discovery through to launch, adoption, and ongoing iteration.

• Convert business workflows into precise technical specifications, system designs, milestones, accountable parties, risks, and success metrics.

• Collaborate with RevOps, Engineering, Data, Sales, Marketing, Customer Success, and Finance to enhance the GTM operational framework.

• Lead initiatives related to CRM architecture, routing, data enrichment, handoffs, lifecycle automation, attribution, service order workflows, reporting dependencies, and AI-agent preparedness.

• Identify areas where manual processes, vendor dependencies, or ambiguous ownership should transition into sustainable automation or established system logic.

• Establish safe operational patterns for AI agents interacting with GTM systems, covering aspects such as data access, workflow permissions, approval checkpoints, error management, and audit trails.

• Develop documentation that clarifies systems: current state, desired state, business rules, dependencies, potential failure modes, launch strategies, and unresolved decisions.

• Assess system requests at the program level, differentiating between one-time fixes and structural process gaps or automation opportunities suitable for productization.

• Manage dependencies related to vendors and tools that impact system architecture, reliability, cost, or roadmap decisions.

• Ensure that GTM systems are delivered with clear ownership, support pathways, monitoring, and clarity on downstream reporting impacts.

⛳️ Requirements

• Minimum of 4 years of experience in Technical Product Management, Revenue Operations, GTM Systems, GTM Engineering, or a similar technical operations role.

• Strong practical experience with CRMs such as Salesforce and Hubspot, along with a thorough understanding of the underlying data models and software architecture.

• Experience in developing AI-native systems where LLMs or agents are integral users of the product rather than merely features added to human workflows.

• Capability to analyze agent-facing product requirements: context, tools, permissions, memory, workflow boundaries, human approval points, observability, and potential failure modes.

• Proven experience leading cross-functional systems projects that involve both business stakeholders and engineering teams.

• Experience taking a leading technical role in software migrations that involve crucial end-user workflows without any downtime.

• Proficient in troubleshooting integrations, field synchronization issues, routing challenges, campaign workflow failures, and disrupted handoffs.

• Comfortable working with APIs, webhooks, automation tools, data flows, and technical documentation.

• Ability to work autonomously and excel in uncertain, fast-paced environments.

🏝️ Benefits

• Flexible working arrangements.

• Professional development opportunities.