Responsibilities

Work closely with team members across marketing to identify the highest-value opportunities to improve efficacy and efficiency through AI, data, and automation.
Evaluate and prioritize use cases based on potential impact, feasibility, and data readiness, and maintain a clear roadmap of initiatives communicated to stakeholders.
Stay current on the evolving AI tool landscape and bring forward-looking recommendations on where to invest next.

For each priority use case, determine what data is needed to drive the best outcome, whether from the CRM, intent platforms, engagement tools, third-party sources, internal assets, etc.
Work cross-functionally with RevOps, Sales, and IT to pull relevant data together in a structured and accessible way.

Partner with marketing stakeholders to design and build automation and agentic workflows that improve the quality and speed of their work.
Use Claude, Claude Code, Claude Workspace, and related tools to create working solutions — from prompt-driven workflows to multi-step agentic processes that run with minimal manual intervention.
Iterate on deployed workflows based on real usage and outcomes, continuously improving impact.
Act as a thought partner and co-builder for team members who want to apply AI to their specific function, making complex capabilities accessible and practical.

Architect and maintain a central repository of AI capabilities, skills, prompts, and reference assets that the marketing team can access, reuse, and build on.
Establish standards and lightweight governance for how the marketing org uses AI tools — ensuring alignment, consistency, and scalability as usage grows.
Enable team members to adopt new workflows and build their own AI fluency through documentation, training, and hands-on support.
Ensure that knowledge and solutions developed for one function are systematically available to the rest of the team, preventing duplicate effort and compounding gains over time.

Qualifications

Fluency with Claude, Claude Code, Claude Workspace, and related AI tools — able to build working agentic workflows, design multi-step automation, and get practical results, not just generate outputs.
Strong working knowledge of AI-powered workflow tools and how to connect them to real marketing use cases (content production, campaign ops, lead management, reporting, and similar).
Experience working in or alongside a B2B marketing team, with genuine understanding of how demand generation, content, field, and campaign functions operate.
Ability to identify, frame, and prioritize problems clearly — moving from a fuzzy workflow complaint to a structured solution without needing heavy oversight.
Strong communicator who can explain AI capabilities and workflow designs to non-technical stakeholders and get buy-in for new ways of working.
Comfortable operating in a fast-moving environment where the tools, best practices, and organizational needs are all evolving simultaneously.

Experience building with automation platforms such as n8n, Zapier, Make, or similar tools.
Familiarity with CRM and marketing automation platforms — HubSpot, Salesforce, or similar — and how data flows between them.
Working knowledge of intent and enrichment platforms such as ZoomInfo, 6sense, or Bombora.
Experience creating internal enablement resources: prompt libraries, workflow documentation, training guides, or AI playbooks.
Background in a high-growth B2B SaaS or technology company.