Responsibilities

• AI use-case roadmap: Maintain a prioritized, revenue-linked backlog of AI and automation use cases across the GTM funnel. Translate operational friction ("our lead response is too slow," "campaign QA is manual") into scoped, sequenced initiatives with defined success metrics, rather than chasing tool novelty.
• Governance and trust: Own the marketing-specific guardrails for AI, including what systems are permitted to do on the brand's behalf, what data they can access, which outputs require human review, and how everything is logged and audited. Coordinate with legal, security, and compliance on policy and risk.
• The marketing technology stack and its AI layer: Own the architecture, integration layer, and roadmap for the marketing tech stack (marketing automation, CDP, orchestration, analytics, and the marketing side of CRM) and the AI layer that now sits across it. Partner with revenue technology and sales-systems owners where workflows cross team lines, rather than absorbing their scope. Manage vendor selection, contracts, and consolidation; prevent tool sprawl.
• Implementation and delivery: Set standards for how AI agents and agentic workflows are designed, built, evaluated, and deployed. Own the evaluation discipline, including output quality scoring, benchmarking, and regression testing, so that "it works" is measured, not asserted.
• Enablement and adoption: Build the skill libraries, prompt libraries, training, and coaching motion that get the broader marketing org self-sufficient. Adoption is a first-class deliverable, not an afterthought.
• Team and craft: Hire, develop, and lead a small team of specialists (GTM engineers, a marketing technology/ops lead, an enablement/governance lead). Set the technical bar, run the operating cadence, and create the career paths that keep scarce talent.
• Measurement: Define and report the metrics that prove the function's value, including cycle-time reduction, output quality, cost-to-serve, and pipeline and revenue influence, to the CMO and cross-functional leadership.

Requirements

• 8+ years across marketing/GTM operations, marketing technology, growth, or a related function, with meaningful time owning systems that directly touched pipeline or revenue
• 3+ years leading and developing people, ideally a mix of technical and operational talent
• Demonstrated ownership of a modern GTM/marketing tech stack, including Salesforce, Marketo, CDP platforms (Segment, Tealium, mParticle, Adobe Real-Time CDP), and analytics/orchestration tools (Snowflake, Looker, Tableau, Adobe Experience Platform)
• Hands-on fluency with how AI is built into GTM work today, including agent frameworks (LangChain, CrewAI, LlamaIndex), LLM platforms (Claude, OpenAI, Gemini), evaluation/observability tools (LangSmith, Braintrust), and human-in-the-loop review and prompt architecture practices
• A track record of translating strategy into shipped systems, and of driving adoption across teams you don't directly manage
• Strong cross-functional judgment, comfortable partnering with legal, security, sales, and product to ship safely

Preferred

• Experience standing up or scaling an AI/automation function inside a larger marketing or broader GTM organization
• Familiarity with agent frameworks, orchestration platforms (e.g., n8n, Make), APIs/MCP integrations, and lightweight scripting (SQL, Python, or JavaScript), enough to be dangerous, not necessarily to build production code yourself
• B2B / enterprise SaaS background
• Experience building measurement and governance frameworks for AI in a regulated or brand-sensitive environment

Benefits

• Equity & Rewards
• - Restricted Stock Units (RSUs)
• - Employee Stock Purchase Plan (ESPP)
• Time Off & Wellbeing
• - Flexible time off
• - Paid company holidays and paid sick time
• - Gender-neutral parental leave
• - Grandparent leave
• Insurance & Financial Security
• - Medical, dental, and vision coverage