Instacart

Senior Manager, Marketing Decision Science

Instacart • $202K — $255K *
US-AnywhereRemote in United States
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in data science, analytics, or a quantitative function; 3+ years in team management
  • Deep expertise in paid marketing measurement methodologies
  • Strong SQL skills and data fluency for validating outputs
  • Independent ownership of cross-functional relationships with senior leadership
  • Ability to simplify complex analyses for non-technical stakeholders
  • Proven experience in team development with a focus on quality feedback

Responsibilities

  • Lead and develop a high-performing team of Decision Scientists and Analysts
  • Own end-to-end paid marketing analytics workflows
  • Contribute to a unified marketing measurement framework
  • Drive goal-setting and budget allocation modeling exercises
  • Act as the analytical liaison for senior marketing and finance leadership
  • Define and implement a strategic Marketing Decision Science roadmap
  • Identify and automate reporting processes for enhanced efficiency

Benefits

  • Remote work flexibility
  • Market-competitive compensation
  • Opportunity for equity grants and annual refresh grants
  • Comprehensive health and wellness benefits
  • Access to professional development resources
Full Job Description
Overview

The Marketing Data Science & Analytics (MDSA) team is Instacart's analytical engine for Paid Media, SEO, and Retailer Marketing - partnering with channel leaders, Finance, and senior marketing leadership to ensure every investment dollar is guided by rigorous, causal measurement. The team owns paid channel analytics, incrementality testing, goal-setting and pacing, LTV-based optimization, and a marketing measurement roadmap anchored on Media Mix Modeling, Experiments, LTV & Touchpoints - Instacart's evolving single source of truth for marketing impact.

We're looking for a Senior Manager to lead the Marketing Decision Science team - a group of Decision Scientists embedded across Paid Media, SEO, and Retailer Marketing. This is a high-visibility role with direct exposure to marketing leadership and regular presence in senior forums including MBRs, SBRs, and Pacing Meetings. This role reports to the Director of Marketing Data Science & Analytics.
About the Job
  • Lead and develop a team of 5 Decision Scientists and Marketing Analysts, owning their performance, growth, and day-to-day direction - setting and enforcing a high quality bar across all team output
  • Own the end-to-end delivery of MDSA's paid marketing analytics workstreams: channel-level goal-setting, pacing, incrementality testing, acquisition and retention analysis, and Retailer Marketing measurement
  • Lead the team's contribution to the unified marketing measurement framework - MMM, incrementality testing, LTV, MTA - coordinating MMM inputs, incrementality test organization, and reporting
  • Drive re-goaling, rebasing, and scenario modeling exercises that directly inform how Instacart allocates its marketing budget
  • Serve as the primary analytical point of contact for senior marketing leadership and Finance - owning those relationships independently and representing MDSA in MBRs, SBRs, and Pacing Meetings
  • Define and drive the Marketing Decision Science roadmap in partnership with the Director, translating business priorities into sequenced analytical investments
  • Partner with Marketing Data Science on Measurement architecture, LTV modeling, and measurement infrastructure
  • Identify opportunities to improve analytical self-serve and reduce recurring reporting burden through tooling and automation
  • Build team capacity and coverage plans proactively, including across periods of reduced availability
  • Anticipate stakeholder needs and surface proactive insights - not just reactive analysis
About You
Minimum Qualifications
  • 8+ years in data science, analytics, or a quantitative function; 3+ years managing teams of analysts or decision scientists
  • Deep expertise in paid marketing measurement: incrementality testing, marketing mix modeling, attribution, LTV-based optimization, and channel-level performance analytics
  • Strong SQL and data fluency; comfort working directly in data to validate and pressure-test team output
  • Proven ability to independently own senior cross-functional relationships and represent a data science function in leadership forums without requiring escalation
  • Track record of translating complex analyses into clear investment recommendations for non-technical audiences
  • Experience managing and developing Decision Scientists or Marketing Analysts with a high bar for quality and direct feedback delivery
Preferred Qualifications
  • Experience at a consumer-facing marketplace or high-growth technology company
  • Familiarity with geo-experimentation, Bayesian methods, or causal inference frameworks
  • Experience with LTV-based media optimization and budget allocation modeling
  • Background in building or overhauling channel-level reporting and pacing infrastructure

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ

$242,000-$255,500 USD

WA

$232,000-$245,000 USD

OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI

$222,000-$234,500 USD

All other states

$202,000-$213,000 USD

About Instacart

Instacart is an American company that operates a grocery delivery and pick-up service in the United States and Canada. The company offers its services via a website and mobile app. The service allows customers to order groceries from participating retailers with the shopping being done by a personal shopper. Instacart was founded in 2012 by entrepreneur Apoorva Mehta, a former Amazon.com employee. Apoorva was born in India and moved with his family to Canada in 2000. He studied engineering at the University of Waterloo and graduated in 2008. He was a participant in Y Combinator's Summer 2012 batch, which eventually led to the creation of Instacart. In 2013, Mehta was included on the Forbes 30 Under 30 list. Apoorva previously worked at BlackBerry, Qualcomm, and then Amazon as a supply chain engineer, where he developed fulfillment systems to move packages from Amazon's warehouses to customers' homes. Before founding Instacart, Apoorva had tried to start at least 20 other services. He tried building an ad network for social gaming companies, and developing a social network specifically for lawyers, among other start-ups. Instacart originally launched in San Francisco. By April 2015, the firm had about 200 employees. It introduced a new policy around June allowing some shoppers to choose to be part-time employees, starting with Chicago and Boston and extending its offer to shoppers in Atlanta, Miami, and Washington D.C. the following month.
Learn more about Instacart
Industry
Founded
2012

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