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Principal Product Manager, Data Platform
Principal Product Manager, Data PlatformMedallia, Inc. • Washington, DC, United States
Principal Product Manager, Data Platform

Principal Product Manager, Data Platform

Medallia, Inc. • Washington, DC, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Overview

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.

We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.

We empower exceptional people to create extraordinary experiences together.

Bring your whole self.

The Role and Team

We are seeking a visionary and highly experienced Principal Product Manager to lead Medallia's Data Platform with an enterprise-wide, cross-product focus. The ideal candidate will define and drive foundational capabilities that unify data across MEC, other Medallia products, and acquired platforms. Your work will enable consistent access, accelerate integrations, and unlock new monetization opportunities by creating the standards, services, and integrations that power Medallia's data ecosystem.

You will own the strategy and roadmap for shared data services and enterprise-level interfaces, operating at the intersection of technical feasibility, business needs, and customer impact. You will establish scalable governance frameworks, define integration playbooks, and partner with GTM teams to commercialize Medallia's unified data assets.

This role requires deep expertise in enterprise data platforms, distributed systems, and large-scale governance frameworks, combined with a proven ability to align multiple stakeholders and deliver cross-company initiatives.

Responsibilities

  • Own and evolve the logical / physical enterprise-wide model that connects MEC, other Medallia products, and acquisitions.
  • Drive platform-wide services such as feature stores, vector stores, embeddings, and metadata catalogs.
  • Create playbooks and infrastructure for onboarding new acquisitions into the unified data platform quickly and reliably.
  • Define enterprise-level data APIs and developer interfaces for consistent access across products.
  • Implement policies and tooling for enterprise-level data authorization, retention, and compliance.
  • Partner with GTM teams to create cross-product data products and APIs that drive incremental revenue.
  • Define and manage a 12+ month roadmap balancing foundational capabilities, product adoption, and monetization opportunities.
  • Collaborate with engineering, product managers, sales, design, and product marketing to ensure alignment and adoption of shared data services.

Qualifications

Minimum Qualifications

  • Bachelor's Degree in computer science, engineering, or related quantitative field, or equivalent experience.
  • 7+ years of product management or equivalent experience focused on enterprise data platforms, analytics, or distributed systems.
  • Demonstrated experience building, launching, and scaling platform-wide data services.
  • Proven track record of driving cross-functional company initiatives with measurable adoption and business impact.
  • Strong understanding of cloud-native architectures, data platform components such as lakes / warehouses / lakehouses, catalogs, virtualization, and pipelines.
  • Expertise in enterprise-scale governance, compliance, and data quality practices.
  • Preferred Qualifications

  • 3+ years of direct experience defining global data models and shared data services.
  • Proven ability to onboard acquisitions into a unified platform at scale.
  • Familiarity with AI / ML frameworks, vector databases, and feature store architectures.
  • Experience commercializing data products and APIs for enterprise customers.
  • Familiarity with customer experience management platforms.
  • Experience working in agile product development environments, including Productboard and JIRA.
  • Medallia is committed to equal pay and transparency. The annual base salary range for this position is $160,000 - $275,000. This position is bonus eligible. Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. It is uncommon for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on a variety of factors. Medallia considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, candidate's work location, education / training, key skills, internal peer equity, external market data, as well as, market and business considerations when making compensation decisions.

    Medallia also offers competitive health and wellness benefits, including but not limited to medical, dental, vision, 401(k), short-term and long-term disability, life and AD&D insurance, statutory leaves, paid parental leave, and paid holidays. Benefits and eligibility may vary by location and role.

    At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is proud to be an equal-opportunity workplace and is an affirmative-action employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or any other applicable status protected by state or local law. Individuals with a disability who need an accommodation to apply please contact us at ApplicantAccessibility@medallia.com. For information regarding how Medallia collects and uses personal information, please review our Privacy Policies. Applications will be accepted for 30 days from the date this role was posted or until the role has been filled.

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