Role Overview
Grubhub is hiring a Staff Product Manager (Data & ML Exp Req'd). This is a full-time role in New York, New York. The posted range is $162k to $170k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
About Grubhub
At Grubhub, we champion restaurants from coast to coast. Restaurants sit at the heart of communities. It's our mission to strengthen their roots, deepen their connections, and increase the positive impact they have on people and society.
Grubhub, part of Wonder, delivers the best local, authentic cuisine right to diners' doors-and new customers and billions in revenue to local businesses. Featuring over 375,000 merchants in over 4,000 cities nationwide, our innovative technology, user-friendly platforms, and streamlined delivery capabilities have made us an industry leader in the world of online food ordering.
Since we opened our doors in 2004, Grubhub has been opening doors all across the country. Bakery doors in Hyde Park, jibarito joint doors in Queens, and doors of opportunity all across the country. Join our team and help us open more.
About The Opportunity
Grubhub is seeking a highly analytical Product Manager to own the strategy and roadmap for our recommendation and search ranking algorithms. As the leader of the engine that drives a significant portion of all Grubhub orders, you will be responsible for the models and business logic that populate our homepage recommendation carousels, search listing pages, and other high-impact surfaces.
This role is for a "data-first" leader who thrives on balancing complex, competing goals-long-term retention, short-term conversion, and marketplace health. You will bridge the gap between deep technical execution and high-level business strategy.
The Impact You Will Make
- Set the multi-year evolution of our ranking and recommendation systems, including the long-term strategy, roadmap, and technical execution
- Partner with Product Managers across the organization-from Homepage to Post-Purchase-to seamlessly integrate intelligent recommendations into every stage of the user journey
- Apply deep user empathy and UXR insights to drive technical prioritization
- Navigate the complex trade-offs of a three-sided marketplace, balancing the diner experience and delivery speed with restaurant operational health and logistics
- Drive innovation through market research, relentless experimentation, and "buy vs. build" analyses for our technical stack
- Lead a comprehensive experimentation strategy that encompasses online A/B testing frameworks and a sophisticated point of view on which offline metrics best serve as leading indicators for online outcomes
- Collaborate directly with ML Engineering to brainstorm feature engineering and co-author technical solutions that are both viable and strategically sound
- Translate highly technical solutions and trade-offs into clear business impact for VP- and C-level stakeholders
What You Bring to the Table
- 5+ years of Product Management experience with a focus on search ranking or recommender systems. We are also open to candidates with a deep background in Data Analytics or Business Intelligence who have a proven track record of translating complex data into actionable business strategy.
- Demonstrated ability to lead complex, cross-functional initiatives in large-scale consumer platforms; e-commerce or marketplaces preferred.
- Exceptional data fluency and the SQL skills necessary to perform independent analysis and model how specific algorithm changes influence macro-level business goals.
- Deep technical understanding of the end-to-end ML ecosystem, including production infrastructure required to serve models at scale.
- An ownership mentality and a passion for the user experience, ensuring that technical optimizations never come at the expense of a seamless diner journey.
- A track record of defining a clear vision and delivering measurable results in ambiguous, complex problem spaces
As a matter of company policy, Wonder does not sponsor applicants for employment visa status for this role.
Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome-and encouraged-to be in the office up to 5 days a week if it works for you.
#LI-Hybrid
New York: $162,000 - $170,000 per year.
Illinois: $146,000 - $153,000 per year.
Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.
Benefits
We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.
A Final Note
At Wonder, we build the best teams by hiring with an objective lens - evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know.
We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.
Frequently Asked Questions
How do I apply for the Staff Product Manager (Data & ML Exp Req'd) position at Grubhub?
Use the Apply button above to submit your application directly to Grubhub. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Staff Product Manager (Data & ML Exp Req'd) position at Grubhub located?
This position is based in New York, New York. Grubhub has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
How much does the Staff Product Manager (Data & ML Exp Req'd) role at Grubhub pay?
Grubhub has posted a compensation range of $162k to $170k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Staff Product Manager (Data & ML Exp Req'd) role at Grubhub posted?
This role was posted on March 23, 2026 (81 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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