AI GTM Manager

Responsibilities

1. Lead Seeq’s AI GTM Workflow Strategy

• Define the roadmap for AI-enabled GTM workflows across priority marketing and commercial motions.
• Identify the highest-value use cases where AI can improve speed, quality, consistency, reuse, and operating leverage.
• Prioritize shared workflows that can serve multiple teams before investing in narrow one-off solutions.
• Translate GTM priorities into a practical AI workflow portfolio spanning research, content assembly, launch planning, campaign development, management, and QA, asset reuse, enablement support, and reporting.
• Help shape the long-term AI-first operating model for Marketing and Industry & Product GTM.

2. Operate as a Hands-On Builder

• Personally design, build, test, and deploy high-priority AI workflows, especially in the early stages of the function.
• Act as the senior practitioner for prompt design, retrieval patterns, workflow orchestration, content structuring, automation logic, and quality controls.
• Build repeatable systems that improve GTM execution across messaging, launches, campaigns, field support, and knowledge access.
• Work directly in the tools, systems, and content environments needed to make workflows durable and useful in real work.
• Set the quality bar for workflow usability, reliability, and business impact through direct hands-on contribution.

3. Manage and Develop a Small Team

• Lead, coach, and develop a small team of AI GTM Engineers as the function scales.
• Set clear goals, operating rhythms, development priorities, and standards for workflow design and delivery.
• Balance direct personal contribution with effective delegation so the team scales without losing speed or quality.
• Help team members strengthen both technical workflow skills and business understanding of GTM use cases.
• Build a healthy player/coach culture that values practical execution, cross-functional partnership, reuse, and measurable results.

4. Partner Across the GTM System

• Work closely with Product Marketing, Industry teams, Whole Offer Management, Regional Marketing, Partner Marketing, ABX / Campaign Execution, and Field Enablement to identify workflow bottlenecks and high-leverage opportunities.
• Partner with the Manager, Marketing Analytics and Infrastructure to align AI workflows with data, tooling, governance, workflow automation, and reporting systems.
• Evaluate build vs buy options to identify tools and vendors that add high value relative to building internally.
• Collaborate with Campaign Program Management and GTM leaders to improve planning quality, coordination, and execution visibility.
• Work to optimize marketing channels and marketing spend through integration, automations, and AI-enabled end-to-end management of campaigns to accelerate speed to market and scale up of GTM motions.
• Serve as a translator between technical possibilities and GTM execution realities.
• Help functional leaders embed AI workflows into real operating motions rather than treating them as side experiments.

5. Build Governance, Standards, and Reuse

• Define standards for workflow documentation, prompt design, approved content usage, QA, testing, and change management.
• Build safeguards into workflows so outputs are accurate, on-message, and aligned to business rules and approved content.
• Ensure Seeq’s GTM knowledge, narratives, proof points, and assets are increasingly structured for reuse by both humans and AI systems.
• Create reusable patterns and templates that make future workflow development faster and more consistent.
• Help establish an AI operating discipline that balances experimentation with scale, governance, and quality.

6. Measure Adoption and Business Impact

• Define and track success metrics for workflow adoption, throughput improvement, quality improvement, and time saved.
• Monitor where workflows are creating real leverage versus where refinement or simplification is needed.
• Partner with analytics and operations teams to improve visibility into workflow performance and business outcomes.
• Use data and stakeholder feedback to continuously improve workflow design and prioritization.
• Demonstrate clear business value from AI investments in GTM execution.

Requirements

• 7+ years of experience in marketing operations, revenue operations, GTM systems, automation, applied AI, solutions engineering, or a related role in a B2B SaaS or similarly complex environment.
• Strong proven experience working as an AI GTM Engineer or in a highly comparable hands-on workflow-building role.
• Demonstrated success designing and deploying AI-enabled workflows that improved business processes, GTM execution, or team productivity.
• Experience translating ambiguous business problems into practical systems, workflows, and operating solutions.
• Experience with prompt engineering, workflow orchestration, structured content, automation logic, and tool integration.
• Strong people leadership potential or experience, including the ability to manage, coach, and develop a small team.
• Strong written and verbal communication skills, including the ability to explain systems, tradeoffs, and workflow designs clearly to non-technical stakeholders.
• Strong execution discipline, including testing, documentation, prioritization, and continuous improvement.

Preferred

• Experience supporting product marketing, launches, campaign execution, field enablement, ABX, partner marketing, or related GTM functions.
• Familiarity with CRM, marketing automation, content systems, knowledge platforms, and collaboration tools used in GTM organizations.
• Experience with retrieval-based workflows, agent frameworks, API-based automation, or no-code / low-code orchestration tools.
• Experience building governance models for AI workflows, approved content systems, or structured GTM knowledge.
• Experience in industrial software, enterprise SaaS, analytics, or AI-adjacent domains.