Measurement Science Manager

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Instacart's Measurement Science team is at an inflection point. Advertisers and agencies are asking harder questions about what their ad spend actually causes, not just what it correlates with. We're hiring an L4 Measurement Science Manager to turn multi-retailer, first-party deterministic data into causal proof of advertising impact, and into recommendations advertisers act on. This role sits at the intersection of experimentation science and advertiser partnership, and the person who fills it will have a direct line of sight to how leading CPG brands decide where to invest on Instacart.

• Advertisers can point to proof their Instacart spend works: you designed and delivered experiments (A/B tests, holdouts, incrementality studies) that demonstrated ad value and led to campaign optimizations and budget decisions.
• Ambiguous measurement questions became clear strategies: you partnered with advertisers early to shape their media measurement approach and resolved their most complex challenges with a tailored, defensible method.
• Instacart became a trusted measurement partner to leading CPG brands and agencies, and cross-functional teams changed how they advise clients because of your evidence-based advice.
• Insights turned into growth: you surfaced client upsell opportunities and operational improvements that were acted on, not just noted.
• The team's measurement toolkit got stronger and easier to use: the custom code, dashboards, self-service tools and new metrics you built are used by others well beyond the project that inspired them.

You're curious, independent and organized, and you're equally at home in a statistical deep dive and in front of a brand's marketing team. You listen closely, get comfortable with ambiguity, and know that a great analysis only counts once it changes a decision.

Must-have pantry staples (Minimum Qualifications)

• Bachelor's degree in a quantitative field such as Engineering, Mathematics/Statistics, Finance, Economics or Business
• 4+ years of experience in data and measurement or consulting fields, with demonstrated expertise in statistical data analytics
• 2+ years of relevant experience in advertising efficacy, media/marketing measurement and experimentation
• Proficiency with experimentation techniques, including A/B testing, holdout designs and incrementality measurement
• Strong data storytelling and advanced visualization skills using tools like Tableau, Mode and Excel, plus experience developing self-service tools and dashboards for stakeholders
• Strong SQL skills and proficiency in Python or R to create and validate custom analytical solutions
• Track record of turning analytics insights into strategic recommendations that drive business outcomes
• Track record of operating independently, with curiosity, active listening and creativity, and delivering results in a highly organized manner

Optional garnishes (Preferred Qualifications)

• 2+ years of conducting and presenting lift measurement studies to clients
• Experience directing sales teams in an analytic/quantitative capacity
• Basic knowledge of ad auction mechanics, targeting algorithms and attribution models
• Proficiency in leveraging AI in daily workflows for tasks including document refinement, coding and automation

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