The Zoox Communications team brings Zoox’s mission, strategy, and values to life through clear, consistent, and engaging communications and programs. We embrace telling compelling stories through high quality content and community engagement. Our process is collaborative and creative. We are growing a team of exceptional people to help bring Zoox to the world!

We are inventors, builders, and doers, passionate and purposeful in the work we do. We have a once-in-a-century opportunity to reinvent personal transportation—and we need your help. At Zoox, you’ll find a creative, collaborative environment where great ideas thrive and where everyone is driven by the same big purpose.

We are seeking a Senior Marketing Research & Analytics Manager to serve as the critical bridge between our marketing activities and business outcomes (Ridership, Reputation, and Brand Awareness). This role will be the definitive owner of our marketing data, responsible for defining success, building the data infrastructure, calculating marketing ROI, and delivering actionable insights that directly inform marketing spend and strategy.

This is a highly visible role that requires a blend of technical expertise, business acumen, and strong communication skills, combined with deep market research and analytics expertise to build the marketing data foundation from the ground up.

In This Role You Will

Partner with Marketing, Operations, and Executive teams to finalize and maintain the definitions of core KPIs: Ridership, Reputation (e.g., NPS, Sentiment), and Brand Awareness (e.g., Share of Voice, Branded Search Volume).
Oversee the data flow and integrity across the core analytics stack: Salesforce Data Cloud, AppsFlyer, GA4, Sprinklr, and Salesforce Marketing Cloud.
Lead, where applicable, to successfully integrate proprietary data into the tools and applications to ensure accurate linking of marketing IDs (from AppsFlyer/GA4) to custom
Define, implement, and maintain the Position-Based Attribution Model to accurately allocate credit for Ridership conversions across all paid and organic channels.
Lead the design and implementation of scalable marketing processes and operating rhythms that translate strategy into consistent, measurable execution across the team.
Lead the calculation and reporting of Marketing Return on Investment (MROI), Customer Acquisition Cost (CAC), Customer Lifetime Value (CLV), and CLV:CPAR (Cost Per Acquired Rider) ratio by channel.
Conduct proactive analyses to identify growth opportunities, diagnose drops in ridership, and determine the causal relationship between improvements in Reputation (e.g., rising NPS) and increases in Ridership Retention.
Support the team by analyzing and proposing controlled experiments across digital channels (ad creative, landing pages, in-app promotions) to generate statistically significant findings.
Design and build automated, integrated dashboards in the BI tool that leverage internal and external datasets .
Create or contribute to reports and presentations summarizing marketing performance against the core KPIs for executive leadership, clearly translating complex data into strategic recommendations.
Create dashboards, reports, and presentations that show the performance of marketing activities.
Establish and enforce standards for data quality, UTM usage, and naming conventions across all marketing campaigns to ensure reporting accuracy.
Provide insights and strategic recommendations from competitive, category, and product analyses provided from cross-functional teams to inform marketing plans.
Drive end-to-end customer and market insights initiatives, integrating quantitative analytics with qualitative research to uncover emerging behaviors, unmet needs, and new opportunities for differentiation.
Manage Voice of Consumer (VoC) programs, including social sentiment, customer feedback, and review analysis into actionable insights informing brand messaging, product, and service decisions.

Qualifications

Experience: 8+ years of experience in Marketing Analytics, Data Science, or a related quantitative field, preferably within a D2C, mobility, or subscription business.
Technical Stack Expertise: Demonstrated experience with a modern data stack, including proficiency in:
SQL for querying and manipulating large datasets.
A Cloud Data Warehouse (e.g., Databricks, BigQuery, Snowflake, or a similar CDP/DataCloud).
A Business Intelligence tool (e.g., Tableau, Power BI, Looker Studio).
Domain Knowledge: Solid understanding of digital marketing metrics (Impression, Reach, CTR, Conversion Rate) and mobile app attribution (AppsFlyer/Branch).
Quantitative Skills: Proven ability to build models for CAC, CLV, perform segmentation, and conduct rigorous statistical analysis.
Comfortable navigating ambiguity and iterating quickly in a fast-paced, high-growth environment.
Demonstrated ability to lead research end-to-end—from planning and execution through analysis and implementation—and translate findings into clear, strategic recommendations.
Demonstrated project management proficiency, with the ability to effectively coordinate and deliver multiple reports and dashboards.

Bonus Qualifications

Direct experience integrating proprietary software with a Data Warehouse.
Familiarity with marketing platforms in our current stack (Sprinklr, Data Cloud, Marketing Cloud, Tracksuit, Lucid, G4, Appsflyer, AppsFollow).
Familiarity reporting on the role of longer-term tactics, like measures of Brand Awareness, and how they contribute to the business objective

$148,000 - $178,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox AI Jobs

Latest AI Jobs at Zoox

Marketing Research & Analytics Manager

Data Scientist Intern