Sr Director, Marketing AI Transformation
United States of America, Eagan, MinnesotaAll locationsUnited States of America, Eagan, MinnesotaUnited States of America, Frisco, TexasUnited States of America, Ann Arbor, Michigan Remote
$157,500 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
This leader turns our marketing AI strategy into working capability. The strategy and priorities are set; this role makes them real in production, at the quality bar a company serving legal, tax, and risk professionals demands. You know how modern B2B marketing actually works, across demand generation, campaign and content operations, lifecycle and email, web and personalization, and audience and measurement, and you have built AI and data capability that makes those teams measurably faster and better. You own AI skills development: the design, build, versioning, and governance of the library of AI skills and agents that power marketing workflows end to end. You lead a team of AI engineers and are a hands-on builder yourself, not solely a manager. Delivering the strategy also depends on Teams you do not own, including engineering and data science functions; you will partner with and coordinate those Teams as dependencies, setting clear interfaces and holding delivery on track across them. Success is not a longer list of tools or adoption dashboards. It is complete marketer workflows that work, from brief through content through channel, a foundation that is compliant and portable, and clear ownership of quality so AI improves outcomes without introducing regressions. Our internal AI credibility is a direct extension of our external brand, and this role protects it.
What you'll bring
- Hands-on experience architecting and shipping production AI applications: agentic workflows, skill and context engineering, orchestration, retrieval, and tool and API integration.
- You have built these systems, not just overseen them.
- Deep fluency in how B2B marketing works and the technology behind it, built by delivering data, analytics, or AI capability for marketing teams.
- You know the martech and marketing-data stack and the core workflows: demand gen, campaign and content operations, lifecycle, segmentation, web and personalization, and attribution.
- A strong technical foundation in data engineering, analytics engineering, business intelligence, or software engineering: data pipelines, modern data platforms and warehouses, and the discipline to build for scale, quality, and governance.
- Deep data engineering experience counts fully here.
- A track record of building a capability or platform from scratch and scaling it to real, sustained usage.
- Experience leading engineers as a hands-on builder-leader, setting technical direction and raising the bar of those around you.
- Proven ability to deliver through influence and partnership across Teams you do not own, managing dependencies and holding cross-functional delivery on track.
- Sound judgment on quality, risk, and governance in production AI, and the instinct to say no to work that will not clear a value or quality bar.
- Bachelor's degree or equivalent practical experience.
- We care more about what you have built than where you studied.