Measurement Lead

Role Description

Kard's data team has built a strong measurement foundation and automated much of the repeatable work. Now we need someone senior enough to own what can't be automated: the high-stakes customer conversations where nuance, credibility, and judgment determine outcomes. As Measurement Lead, you’ll be the person our sales and account team turns to when a merchant has questions about their campaign results, when an issuer needs to understand impression attribution, or when the data doesn’t tell a clear story.

This is a hands-on senior role. You'll write SQL, dig into dashboards, and investigate data questions directly — because we've built the data org around automation and engineering, not manual analyst headcount, and this work calls for someone with the judgment to match. Reporting to the CTO, you'll sit at the intersection of Data Science, Analytics Engineering, Product, and GTM, and you'll carry the field's voice back to the teams building our measurement products.

Responsibilities

• Interpret lift measurement test results quickly, and codify internal understanding by educating and consulting GTM stakeholders on the results.
• Own high-priority measurement conversations with merchant and issuer partners, translating complex results into clear, credible external narratives tailored to the audience.
• Serve as GTM's trusted advisor on ambiguous, data-intensive customer questions, engaging clearly and credibly with our sophisticated and highly analytical marketing clients.
• Write SQL and work directly in data to investigate performance, validate hypotheses, and support customer and GTM needs.
• Build dashboards, visualizations, and lightweight reporting tools that help GTM and customers successfully pull and interpret results directly.
• Collaborate with Data Science to refine Kard's measurement approach, including experimentation design, incrementality methodology, and reporting frameworks.
• Develop deep fluency in Kard's reporting, product behavior, and business model so you can answer questions with sound judgment — not scripts.
• Identify patterns in recurring measurement questions and improve workflows, tooling, and handoffs between GTM and the data org.
• Surface reporting and tooling gaps to Product and Engineering, representing what the field actually needs.

Qualifications

• 5–8 years in measurement, analytics, consulting, or partner-facing data roles — ideally in adtech, martech, fintech, or marketplaces.
• Strong fluency in measurement concepts: experimentation, incrementality, attribution, and a clear-eyed view of what different methods can and cannot say.
• Solid SQL skills and comfort working directly in BI tools to build or manipulate dashboards and visualizations.
• Excellent judgment in ambiguous situations — you think on your feet and respond calmly to hard questions.
• Ability to communicate complex analytical ideas clearly to both technical and non-technical audiences, including analytically sophisticated external stakeholders.
• A practical, creative problem solver with strong commercial instincts and intellectual honesty.
• Experience partnering closely with revenue teams and helping them win with customers.
• Collaborative and enthusiastic about working across Data Science, Analytics Engineering, Product, and GTM.
• Bachelor's or Master's in Statistics, Economics, Computer Science, or related field.
• U.S. core business hours availability and willingness to travel for company meetings.

Benefits

• Flexible PTO, with a minimum requirement to take one day off a quarter, ten days a year, promoting mental well-being.
• Observance of 11 Federal Holidays, plus an additional day each for Black Friday and Christmas Eve (US employees only).
• Health, Dental and Vision Insurance.
• 401k with employer match (US employees only).
• Coworking space and WFH setup reimbursement.
• Company Offsites two times per year for planning, team-building, and networking.