Senior Product Manager, Reporting & Analytics

About RocketRez:
RocketRez is the revenue maximization platform behind boat tours, theme parks, zoos, and other attractions and experience operators. Operators run their businesses on us: ticketing, capacity, memberships, point of sale, web stores, and the data that tells them how how to grow their business.

The role:
Operators ask us questions every day. How did yesterday go? Which channel actually converts? Did the new pricing pay off, or did it just move demand around? Your job is to turn those questions into data, reports, and visuals that answer them clearly and lead to a revenue maximizing decision.

You'll own Reporting & Analytics end to end: the reports, dashboards, and insights operators use to run their business, from the general manager checking yesterday's attendance to the finance lead reconciling a month of revenue across channels, and the data models and metric definitions behind them. You'll own its roadmap, its customers, and the case for where engineering time goes. Your job is to prove that reporting can be the front door to RocketRez: where operators start their day, and what moves them to act. You'll be measured on usage, and on the revenue operators earn from the decisions reporting drives.

What we're building:
Operators move more of their business onto RocketRez when they trust us with their busiest day, and that trust depends on the numbers. If the reporting is wrong, late, or confusing, nothing else we build gets believed.

First, reporting operators trust. Core reporting on par with the best in hospitality.

Next, a revenue engine. Operators set revenue targets and campaigns, track their pace against them and against past seasons, and get clear options when they fall behind.

Then, automated revenue management. Automation keeps tracking and planning running without the operator asking. It recommends actions grounded in the operator's own history and in how similar operators are performing, and makes acting on them a single click. Season pass sales dipping? Here are three options based on this season and the last two.

What you'll do:
Understand the question• Spend real time with operators across roles, from general managers and finance leads to marketers and front-gate supervisors. Learn the decisions they make and the questions they need answered to make them.

Data fluency• Prototype with real data. Write your own SQL to mock up a report or metric and put it in front of operators before engineering builds it.

• •Own the metric definitions the platform runs on: revenue, attendance, capacity utilization, and conversion mean the same thing in every report, in every domain.
• •Apply statistical judgment: seasonality, small samples, cohorts, fair comparisons, and forecasting.
• •Choose the right visual for the question, and hold a high bar for clarity, accuracy, and honest scales.
• •Treat data quality as product quality.
• •Work with other domains so new products capture the data reporting needs before they ship.

Strategy and roadmap• Own the roadmap: sizing, sequencing, and what gets cut.

• •Shape how automation and AI turn insights into recommended actions: which recommendations are trustworthy, when a human should decide, and the guardrails around both.
• •Define how cross-operator benchmarks work: peer sets, minimum sample sizes, and anonymization that operators trust enough to opt into.
• •Make the build, buy, and partner calls on analytics tooling, and know the market well enough to say which gaps are worth closing.

What we look for:
The trait we care about most is adaptability. The tools and methods of product management are changing, so we hire people who have already reinvented how they work on their own initiative and will do it again.

• •You've rebuilt how you work without being told to, including becoming AI-native, and you let hard-won skills go when something better arrives.
• •You learn quickly in ambiguity and don't need a playbook to start.
• •You'd rather build the wave than ride it. Taking something from where it is to where it should be energizes you.
• •Real customer obsession, sound commercial reasoning, discipline about verifying what's true, and honesty about outcomes.

Experience that tends to fit• Repeated, individually owned wins on customer-facing analytics or reporting products in B2B SaaS.

• •Hands-on experience with modern BI and data tools.
• •Ticketing, attractions, hospitality, travel, payments, or retail experience is a plus, not a requirement.

This role may not be a fit if:

• •You need an analyst before you can test an idea.
• •You measure success by dashboards shipped rather than decisions changed.
• •You love the data but would rather not spend time with the people who use it.
• •You want clean, well-modeled data waiting for you.

What we offer:
At RocketRe