Staff Product Manager - Personalization
stubhubinc
4 days ago
Full-time
On-site
New York, New York, United States
$270,000 - $325,000 USD yearly
Product
Moneyboard classification: Published range reaches threshold
Reported USD annual base: $270,000–$325,000
Original source: Greenhouse
StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.
StubHub is seeking a Staff Product Manager to lead Personalization for our consumer product. This is the role that decides how well StubHub knows each fan, and how much of that knowledge shows up in what they see, when we reach them, and what we recommend. Millions of people come to us to decide what to go to. We want every one of them to feel that StubHub was built around their taste, and we want that feeling to turn into a relationship that lasts for years.
You will own the product strategy and roadmap for the shared ranking, fan understanding and predictive capabilities that power personalization across StubHub. You’ll partner with Search, Discovery and CRM teams to bring those capabilities into their experiences and measure the incremental impact on repeat purchase, frequency and lifetime value. The work is hard in the ways that matter: live events are time-limited inventory, fan interests shift with every tour announcement and playoff run, and the difference between a good recommendation and a great one is the difference between a browse and a purchase.
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Location: Hybrid (3 days in office / 2 days remote) – New York, NY or Century City, CA
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About the Team:Â
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The Direct Demand Consumer Product team at StubHub has one job: own the relationship with the fan. We want StubHub to be the place people start when they are deciding what to go to, the place they come back to without being reminded, and the place that already knows what they will love before they search for it. The business outcome is a best-in-class lifetime value engine: more fans who buy again, more often, and at higher value, because the product earned it.
As a senior individual contributor, you’ll shape how millions of fans discover their next unforgettable live experience. Working alongside machine learning engineers, data scientists and backend engineers, you’ll turn an understanding of each fan into recommendations that feel timely, relevant and worth coming back for. You’ll partner with Design, Research and Data Infrastructure teams to connect what fans want with what our technology makes possible.
You’ll set the direction for the shared personalization systems powering Search, Discovery and CRM, owning the roadmap, model objectives and capabilities that help every team build better fan experiences. Partner PMs will lead their surfaces and channels; together, you’ll decide where to invest, what to test and how to measure success. Your impact will extend across the consumer product: helping fans find more events they love, giving them reasons to return and building capabilities that make every team more effective.
What You'll Own:
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Three systems, and the strategy that ties them together.
Personalization & ranking: Own the shared recommendation and ranking capabilities that help teams decide what to show each fan. Define model objectives, signals and evaluation criteria, and partner with surface PMs to balance relevance, freshness, price, availability and business requirements. Build approaches that work for both returning fans and visitors we know little about.
Taste & intent understanding: Everything StubHub knows about a fan should live in one place, and this lane owns it. That means which signals count as taste (purchases, follows, searches, what they lingered on, what they skipped), how they are weighted and how fast they decay, how a profile forms from the first session, and how it stays current when a tour is announced or a team makes the playoffs.
Predictive Lifecycle Signals: Own the shared models and signals that help teams understand purchase intent, retention risk and likely incremental response to outreach or offers. Partner with CRM and Growth to make these signals actionable and evaluate whether interventions change behavior. CRM and Growth own campaign execution, messaging and incentive strategy.
What You'll Do:
Own the personalization strategy. Decide where a deeper understanding of each fan creates the most value, for the fan and for lifetime value, and turn that into a multi-year plan for ranking, taste modeling and prediction. Make the case to leadership for the models, data and infrastructure that plan requires.
Define what a personalized StubHub feels like. Set the product principles: when to show something familiar versus something new, how to treat a first-time visitor with no history, how recommendations stay current as events sell out and new ones go on sale, and how to keep the system from narrowing what people see over time.Â
Build one system that serves many surfaces. Design personalization so that search, discovery, and CRM flows all draw on the same understanding of the fan, rather than each surface inventing its own.
Turn fan understanding into a durable asset. Own the taste and intent model as a product in its own right: what signals feed it, how fresh it stays, how coverage grows across the user base, and how it is exposed to the teams that need it.
Prove incremental impact. Partner with surface teams to design experiments and holdouts that measure personalization’s contribution to repeat purchase, frequency and lifetime value. Connect near-term metrics to longer-term outcomes, report results in business terms and be candid about what is not working.
Lead the technical conversation. Build fluency in the models, features, pipelines and serving architecture behind personalization.Â
Get other teams to adopt what you build. A ranking system or audien
Reported USD annual base: $270,000–$325,000
Original source: Greenhouse
StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.
StubHub is seeking a Staff Product Manager to lead Personalization for our consumer product. This is the role that decides how well StubHub knows each fan, and how much of that knowledge shows up in what they see, when we reach them, and what we recommend. Millions of people come to us to decide what to go to. We want every one of them to feel that StubHub was built around their taste, and we want that feeling to turn into a relationship that lasts for years.
You will own the product strategy and roadmap for the shared ranking, fan understanding and predictive capabilities that power personalization across StubHub. You’ll partner with Search, Discovery and CRM teams to bring those capabilities into their experiences and measure the incremental impact on repeat purchase, frequency and lifetime value. The work is hard in the ways that matter: live events are time-limited inventory, fan interests shift with every tour announcement and playoff run, and the difference between a good recommendation and a great one is the difference between a browse and a purchase.
Â
Location: Hybrid (3 days in office / 2 days remote) – New York, NY or Century City, CA
Â
About the Team:Â
Â
The Direct Demand Consumer Product team at StubHub has one job: own the relationship with the fan. We want StubHub to be the place people start when they are deciding what to go to, the place they come back to without being reminded, and the place that already knows what they will love before they search for it. The business outcome is a best-in-class lifetime value engine: more fans who buy again, more often, and at higher value, because the product earned it.
As a senior individual contributor, you’ll shape how millions of fans discover their next unforgettable live experience. Working alongside machine learning engineers, data scientists and backend engineers, you’ll turn an understanding of each fan into recommendations that feel timely, relevant and worth coming back for. You’ll partner with Design, Research and Data Infrastructure teams to connect what fans want with what our technology makes possible.
You’ll set the direction for the shared personalization systems powering Search, Discovery and CRM, owning the roadmap, model objectives and capabilities that help every team build better fan experiences. Partner PMs will lead their surfaces and channels; together, you’ll decide where to invest, what to test and how to measure success. Your impact will extend across the consumer product: helping fans find more events they love, giving them reasons to return and building capabilities that make every team more effective.
What You'll Own:
Â
Three systems, and the strategy that ties them together.
Personalization & ranking: Own the shared recommendation and ranking capabilities that help teams decide what to show each fan. Define model objectives, signals and evaluation criteria, and partner with surface PMs to balance relevance, freshness, price, availability and business requirements. Build approaches that work for both returning fans and visitors we know little about.
Taste & intent understanding: Everything StubHub knows about a fan should live in one place, and this lane owns it. That means which signals count as taste (purchases, follows, searches, what they lingered on, what they skipped), how they are weighted and how fast they decay, how a profile forms from the first session, and how it stays current when a tour is announced or a team makes the playoffs.
Predictive Lifecycle Signals: Own the shared models and signals that help teams understand purchase intent, retention risk and likely incremental response to outreach or offers. Partner with CRM and Growth to make these signals actionable and evaluate whether interventions change behavior. CRM and Growth own campaign execution, messaging and incentive strategy.
What You'll Do:
Own the personalization strategy. Decide where a deeper understanding of each fan creates the most value, for the fan and for lifetime value, and turn that into a multi-year plan for ranking, taste modeling and prediction. Make the case to leadership for the models, data and infrastructure that plan requires.
Define what a personalized StubHub feels like. Set the product principles: when to show something familiar versus something new, how to treat a first-time visitor with no history, how recommendations stay current as events sell out and new ones go on sale, and how to keep the system from narrowing what people see over time.Â
Build one system that serves many surfaces. Design personalization so that search, discovery, and CRM flows all draw on the same understanding of the fan, rather than each surface inventing its own.
Turn fan understanding into a durable asset. Own the taste and intent model as a product in its own right: what signals feed it, how fresh it stays, how coverage grows across the user base, and how it is exposed to the teams that need it.
Prove incremental impact. Partner with surface teams to design experiments and holdouts that measure personalization’s contribution to repeat purchase, frequency and lifetime value. Connect near-term metrics to longer-term outcomes, report results in business terms and be candid about what is not working.
Lead the technical conversation. Build fluency in the models, features, pipelines and serving architecture behind personalization.Â
Get other teams to adopt what you build. A ranking system or audien