Analytics Manager, Product
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Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Why Headout
Were a rocketship: 9-figure revenue record growth and profitable
With $130M in revenue guests in 100 cities and 18 months of profitability Headout is the fastest-growing marketplace in the travel industry and were just getting started. Weve raised $60M from top-tier investors and are building a durable company for the long term because thats what our mission needs and deserves. Were growing profitable and nowhere near done.
What we do is important
In an increasingly digital world there is a desperate need to augment our human experience by getting us to interact with the real world around us and the people in it. At Headout our mission is to be the easiest fastest and most delightful way to head out to a real-life experience from immersive tours to museums to live events and everything in between.
Why now
The foundation is strong. The opportunity ahead is even bigger. Weve hit profitability built momentum and proven the model but theres so much more to build. If youre looking to join a company where the trajectory is steep and your impact is real this is the moment.
Our culture
Reinventing the travel industry isnt easy but thats the fun part.
We care deeply about ownership craft and impact and were here to do the best work of our careers. We wont pretend like its for everyone but if youre a builder who loves solving tough problems youll feel right at home. Read more about our unique values here: The role
As Manager Product Analytics youll lead the analytics function for Headouts Product org. This isnt about dashboards and reports; its about building product intelligence that compounds into competitive advantage.
Youll define the metrics that matter build the experimentation muscle and ensure product decisions are grounded in customer understanding. Youll partner with Product Design and Engineering leadership to shape what we build not just measure what we shipped.
Youll also build and lead a team of product analysts who operate like owners: sharp on metrics strong on problem framing and measured by the outcomes they enable not the analyses they deliver.What makes this role special
- Build Product Intelligence Not Just Measurement: Youll define the metrics frameworks and experimentation systems that make Headouts product smarter over time. Your work shapes the intelligence layer not just the reporting layer.
- Thought Partner Not Report Generator: Youll work directly with Product leadership to answer what should we build next not just what happened Youll bring clarity on customer behaviour funnel bottlenecks and where the highest-leverage opportunities are. When the product roadmap is debated your perspective will be in the room.
- Shape the Experimentation Engine: Youll raise the bar on how we run experiments; hypothesis quality statistical rigor guardrails and decision-making. Youll help teams move fast without making noisy or misleading calls. Experimentation becomes a capability not a bottleneck.
- Build a Team of Owners: Youll hire mentor and develop product analysts who own problem domains not task queues. Analysts who can frame problems define success and drive adoption not just write SQL and hand off slides.
- Drive Outcomes That Compound: Your work will directly improve conversion retention and LTV. But more importantly it will build systems that keep improving: ranking models that learn retention frameworks that clarify priorities recommendations that get smarter. The advantage compounds.
What skills & experience do you need
- 6-10 years in product analytics with at least 2 years leading or mentoring record of defining metrics that teams actually use to make decisions.
- Strong problem framing: you can translate ambiguous questions into testable hypotheses and clear measurement plans.
- Experimentation expertise: youve run A/B tests end-to-end understand statistical pitfalls and know when experiments are needed and when theyre not
- Full-funnel fluency: acquisition activation conversion retention. You can diagnose drop-offs interpret cohort behaviour and identify segmentation insights
- Advanced SQL; comfortable with Python/R for analysis and statistics
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Explore the world's best experiences - from expert-led tours and incredible landmarks to activities and events. Book tickets at the lowest prices and best deals.
