Product Manager, Data Science & Engineering

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Data Product Manager Opportunity - Join Olo!

Location: Remote (Anywhere in the U.S.) or Olo Headquarters, NYC

About the Role

As a Data Product Manager at Olo, you will be on a mission to solve key customer challenges and enhance guest experiences. Collaborate closely with Data Science, Data Infrastructure, Business Intelligence, and other cross-functional stakeholders to prioritize, discover, develop, and launch data solutions that drive customer satisfaction and business growth. You can work remotely from anywhere in the U.S. or at Olo’s headquarters in NYC.

Primary Responsibilities

  • Collaborate with senior leadership to align on the vision and strategic direction for data products, ensuring alignment with broader organizational goals.
  • Build and maintain an outcome-focused product roadmap, incorporating insights from customers, data analysis, internal stakeholders, and market research.
  • Create and execute feature launch plans to support adoption goals and other KPIs.
  • Work with the Business Intelligence team to implement data initiatives that align with product goals and deliver actionable insights.
  • Partner with the Data Science team to integrate advanced analytics and machine learning models into product development, enhancing decision-making and functionality.
  • Combine strategic thinking with hands-on execution to advance our data capabilities.

Qualifications

  • 3+ years of experience as a Product Manager in a software technology company.
  • Proven ability to collaborate across an organization, working with engineering, product, customer success, sales, and executives.
  • Experience creating project plans and timelines and managing them to ensure timely, high-quality product releases.
  • Strong analytical skills to interpret data, identify trends, and make data-driven decisions using data analysis tools and techniques.
  • Ability to work independently in a fast-paced, high-ownership environment.

About Olo

Olo is the engine driving the digital transformation of the restaurant industry. As a leading open SaaS platform, we empower over 600 restaurant brands to connect with 85 million guests across 84,000 locations. Handling over two million daily orders, Olo integrates digital and in-person experiences, enhancing hospitality standards and operational efficiency. Discover more at .

Our remote-friendly culture has evolved since 2015, and now over 75% of our workforce operates remotely across the U.S. New York City-based employees can work remotely or from our Tribeca headquarters.

Benefits & Compensation

We offer a comprehensive benefits package, including:

  • 20 days of paid time off, 10 sick days, 11 holidays, plus year-end closure.
  • Health, dental, and vision coverage for you and your family.
  • 401k match, remote office stipend, company equity.
  • Generous parental leave plan, volunteer time off, gift matching policy, and more!

Estimated compensation ranges from $114,926 to $164,768 annually, depending on experience and location. We look forward to discussing your salary expectations and our full rewards during the interview process.

Inclusive Hiring at Olo

At Olo, we value diversity and inclusion. We understand that diverse teams strengthen our workplace, improve decision-making, and enhance service to our communities. If you are excited about this role but do not meet every qualification, we encourage you to apply. You might be the perfect fit for this or another role.

Olo is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender identity, sexual orientation, pregnancy, age, marital status, veteran status, or disability status.

California Residents: CCPA notice.

Company Name: Olo

Job Title: Product Manager, Data Science & Engineering

Ready to Apply?

We look forward to your application! At Olo, your unique skills and experiences are valued, and we're excited to see how you can contribute to our team. Apply today and join the leading force in restaurant industry digital transformation.