Senior Director, Advertising Operations & AI Enablement; Remote

The Krazy Coupon Lady (KCL) is a female-founder-owned shopping intelligence company on a mission to give smart shoppers the advantage by turning our expertise into their indispensable shopping companion. Millions of shoppers come back to us before every purchase, and we're hiring the people who'll shape what they find and why they keep coming back. We move fast, care deeply about our audience, and believe great work happens when smart people bring clarity, creativity, and accountability to the table.

You may have noticed that our headquarters are in Boise, , but our workforce is fully remote in the following states:
Arkansas, California, Colorado, Connecticut, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Minnesota, New Jersey, New York, North Carolina, Ohio, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, or Wisconsin. All team-wide meetings are scheduled to be inclusive of U.S. time zones.

KCL is standing up a dedicated Advertising Operations & AI Enablement function, and this role owns it end to end: tag management, ad trafficking, and the integrity of the statistics we put in front of our clients. We need a senior leader to define the strategy and stand up the stack behind it, starting with selecting the tag management platform and the ad server KCL will standardize on.

Reporting directly to the Head of Product inside the Data team, this Senior Director will partner with Data Engineering and Analytics on where event data lands, and with Sales on what KCL can credibly commit to in client contracts. Success looks like a best-in-class tag management and ad serving architecture that is governed, scalable, and able to absorb the complexity of KCL's product and marketing requirements.

This work sits in an environment spanning Segment, Amplitude, Databricks, and the major ad and pixel ecosystems. We expect this leader to use AI tooling to move faster than a function this size normally could, and to extend that beyond their own remit by championing how KCL works with AI, evaluating and rolling out tooling at a company level. This is a hands‑on leadership role: strategy first, with the expectation of personally executing much of it before a team is in place.

• Own the tag management strategy.
• Select the tag management platform KCL will standardize on, then own site and app wide tagging architecture end to end, bringing legacy tags, floodlight activities, and orphaned pixels into a documented inventory where every tag has a named owner and a defined purpose.
• Implement the tag management platform.
• Stand up the chosen system, covering data layer design, naming and versioning conventions, environment separation, and a QA and approval workflow, then train marketing, product, and engineering partners to work within it.
• The goal is a scalable set‑up where a small team can maintain the full platform confidently.
• Own ad trafficking and ad‑server strategy.
• Evaluate, select, implement, and operate the ad‑serving stack behind client‑facing campaigns (Google Ad Manager, Freestar etc.), traffic creative and placements, and manage the technical relationship with ad‑tech vendors and their reps.
• Deliver defensible impressions reporting.
• Design and stand behind the external, client‑facing reporting methodology so it holds up under third‑party verification.
• Keep internal and external measurement reconciled.
• Partner with Data Engineering and Analytics on where event data lands (Amplitude, Databricks) versus what routes through the external ad server, so the two paths agree rather than diverge.
• Put AI to work on ops‑heavy work to increase productivity.
• Accelerate tag reviews, QA of trafficking setups, and reporting reconciliation, then turn what works into repeatable practices others can adopt.
• Keep KCL current with industry best practice.
• Bring outside‑in knowledge of programmatic and display ad‑serving standards, and adjust KCL's approach as the ad‑tech landscape moves.
• Represent KCL with clients and across internal stakeholders.
• Navigate a complex internal stakeholder network spanning Data, Sales, Partner Revenue, Engineering, and join the Sales team in front of senior…