Define, articulate, and execute the product vision and long-term strategy for martech, including scaled customer journey personalization across channels, and content & offer creation, and loyalty.
Manage multiple engineering squads, technical backlogs, and data science collaborators to ship world-class features while balancing tech debt.
Partner deeply with Marketing, Sales, and Merchandising leaders to design automation strategies that optimize marketing spend efficiency.
Write clear technical requirements and user stories that eliminate workflow friction and maximize technical team velocity.
Build business cases, prioritize roadmap scope ruthlessly, and establish quantitative metrics to measure the business value of launched features.
Mentor and develop cross-functional product talent, acting as a fierce advocate for customer empathy across the broader organization.
Minimum Requirements:
7+ years of experience in Product Management with a dedicated focus on marketing technology, with a proven emphasis on backend martech infrastructure, data platform architectures, or core growth engines rather than pure creative campaign execution.
Direct experience designing, scaling, or managing Customer Data Platforms (CDPs), customer identity resolution/graphs, and cross-channel marketing automation frameworks.
Proven technical ownership over enterprise-scale transaction/entitlement infrastructure, loyalty programs, or automated promotional engines (e.g., site credits, coupons, and points systems).
Proven track record of managing and leading multiple concurrent engineering squads or highly technical, cross-functional platform initiatives.
Demonstrated experience with core software development workflows, web technologies, complex API integrations, and managing high-scale technical backlogs.
Strong analytical expertise utilizing data, metrics, and quantitative frameworks (e.g., CLV, ROAS, retention loops) to back up roadmap assumptions and drive platform actions.
Exceptional technical communication skills with a history of translating complex data pipelines and presenting strategic product recommendations to executive management.
Ability to travel as needed, up to 10%.
Preferred Requirements:
Experience with advanced Data Engineering and Data Science marketing pipelines, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and predictive customer lifetime value models.
Experience with analytics, cross-channel experimentation, and agentic AI rapid iteration workflows—taking analysis to hypothesis to experiment to learning in rapid succession to drive top-line growth.
Familiarity with Content Management Systems (CMS), Owned and Paid Activation Platforms, and managing data governance privacy standards.
Employee Stock Purchase Plan
401K with Company Match
Medical, Dental & Vision Insurance
Paid Parental Leave
9 Paid Company Holidays
Flexible Time Off (With Manager Approval)
Find out more about our Benefits here.
The RealReal is the world’s largest online marketplace for authenticated, resale luxury goods, with 37 million members. With a rigorous authentication process overseen by experts, The RealReal provides a safe and reliable platform for consumers to buy and sell their luxury items. We have hundreds of in-house gemologists, horologists, and brand authenticators who inspect thousands of items each day. As a sustainable company, we give new life to pieces by thousands of brands across numerous categories—including women's and men's fashion, fine jewelry and watches, art, and home—in support of the circular economy. We make selling effortless with free virtual appointments, in-home pickup, drop-off, and direct shipping. We handle all of the work for consignors, including authenticating, using AI and machine learning to determine optimal pricing, photographing and listing their items, as well as shipping and customer service.
The RealReal is committed to providing an equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or Veteran status. We will consider qualified applicants for a position regardless of arrest or conviction records. At TRR, People Come First. That’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our Diversity Equity and Inclusion program here.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. The employee is occasionally required to stand; walk; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
Skills Required
- 7+ years of Product Management focused on marketing technology, backend martech infrastructure, data platform architectures, or core growth engines
- Direct experience designing, scaling, or managing Customer Data Platforms (CDPs), customer identity resolution/graphs, and cross-channel marketing automation frameworks
- Technical ownership of enterprise-scale transaction/entitlement infrastructure, loyalty programs, or automated promotional engines (site credits, coupons, points systems)
- Proven track record managing and leading multiple concurrent engineering squads or highly technical, cross-functional platform initiatives
- Experience with software development workflows, web technologies, complex API integrations, and managing high-scale technical backlogs
- Strong analytical expertise using data, metrics, and quantitative frameworks (e.g., CLV, ROAS, retention loops)
- Exceptional technical communication skills translating complex data pipelines and presenting strategic recommendations to executive management
- Ability to travel as needed, up to 10%
- Experience with advanced data engineering and data science marketing pipelines, including MMM, MTA, and predictive CLV models
- Experience with analytics, cross-channel experimentation, and agentic AI rapid iteration workflows
- Familiarity with Content Management Systems (CMS), Owned and Paid Activation Platforms, and data governance/privacy standards
The RealReal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The RealReal and has not been reviewed or approved by The RealReal.
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Healthcare Strength — Health coverage offers multiple medical, dental, and vision options plus mental‑health resources, alongside employer HSA contributions under high‑deductible plans. This breadth is often seen as relatively strong compared with base pay.
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Parental & Family Support — Paid parental leave, additional disability pay for birthing parents, and inclusive fertility benefits covering diverse paths to family building create a robust family support offering. This can be a differentiator for employees prioritizing family planning.
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Equity Value & Accessibility — An employee stock purchase plan with a meaningful discount is broadly accessible, including to part‑time employees. This access to ownership can enhance total rewards for those who participate.
The RealReal Insights
What We Do
The RealReal is the world’s largest online marketplace for authenticated luxury retail. With a rigorous authentication process overseen by experts, The RealReal provides a safe and reliable platform for consumers to buy and sell their luxury items. We have 150+ in-house gemologists, horologists and brand authenticators who inspect thousands of items each day.
Why Work With Us
We are looking for smart and talented people who are creative, enjoy working in a fast-paced environment, and want to be part of a team that is reinventing the digital marketplace as you know it!
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