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Robinhood

MarTech Manager, Data & Measurement

Robinhood, Menlo Park, California, United States, 94029


About the team + roleAs a member of Robinhood's Marketing Technology team, you'll play a key role in helping us build and support a world class Marketing Technology stack and team.

Our mission is to enhance, build and transform systems for the global Marketing organization. With product and engineering. We are building a best-in-class, privacy-first martech stack from the ground up.

As MarTech Manager, Data and Measurement, you’ll own and optimize the data layer for the marketing team. You'll apply your expertise in data collection, storage, federation, enrichment and application to power marketing attribution and personalization at scale.

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

What you’ll do

Attribution : Plan, identify, capture and store all of the necessary data elements to support a robust marketing attribution system

Data Enrichment : Providing Marketing with additional data points that allow for greater personalization, targeting and measurement

Data Federation : Facilitating the transfer of data between our data store and various marketing tools and environments

Regional Marketing Data Stores : Establishing data repositories in accordance with regional data requirements for Marketing use cases.

Reporting & Analysis : Improve the current marketing reporting stack and plan to integrate a general-purpose BI tool for widespread marketing use

Data Accessibility : Expanding the data store with new elements and sources, particularly to support data demands from go-to-market (GTM) activities

What you bring

5-7 years of professional experience in conversion optimization, product management, growth product, growth marketing, or other data-driven field

Experience with a broad range of marketing data tools: CDPs,MMPs, MMMs, BI/Analytics (Segment, Hightouch, SQL, Google Analytics, Amplitude, Looker, etc.)

Experience working on B2C attribution & measurement with millions of customers

Experience working to enable marketing personalization and dynamic content with 1st and 3rd party data.

Experience working to adhere to data and privacy regulations like GDPR

Familiarity with data and infrastructure required to enable the development of machine learning models

Excellent communication and interpersonal skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.

Thrives in a fast-paced environment with a bias towards action

What we offer

Market competitive and pay equity-focused compensation structure

100% paid health insurance for employees with 90% coverage for dependents

Annual lifestyle wallet for personal wellness, learning and development, and more!

Lifetime maximum benefit for family forming and fertility benefits

Dedicated mental health support for employees and eligible dependents

Generous time away including company holidays, paid time off, sick time, parental leave, and more!

Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

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