Job Description:
The Opportunity
Data is the center of everything we do. And we arelooking for a Product Manager to help define,shapeand deliver the future of our modern Data Platform that powersanalytics, insights, and decision-making across the businessand supports our customers. This role sits at the intersection of product, engineering, and analytics, translatingreal businessproblems into scalable, well-defined data solutions.
You'llwork closely with data engineers, analytics teams,other product teamsand stakeholders across Product, Engineering, and the business to define requirements, prioritize work, and ensure data products are reliable, usable, and impactful. This is an excellent opportunity for a PM who wants to deepen their experience in data-driven products while learning how modern data platforms are built andoperated.
What we can offer
1. The chance to work on high-impact data products that directly influence business decisions
2. Exposure to modern data tooling and platforms (cloud data warehouses, transformation tools, BI, APIs)
3. Strong mentorship and partnership with experienced Product, Data, and Engineering leaders
4. A collaborative environment where product thinking is valued and data quality matters
5. Clear ownership areas with room to grow your scope over time
6. An environment where you are encouraged to think strategically and drive change and product adoption.
What You Bring
7. 2to5 years ofrelevant productexperience
8. A solid understanding of how data is used for reporting, analytics, applications, or operational decision-making
9. Comfort working with technical teams and discussing concepts like data models, pipelines, APIs, or dashboards (youdon'tneed to code)
10. Strong communicationskills and the ability to translate between business needs and technical solutions
11. Experience writing clear product requirements, user stories, and acceptance criteria
12. A structured, curious mindset and a desire tobuild the best products and experiences that dive value through data.
Nice to have (but notrequired):
13. Experience with BI tools, SQL, or data transformation tools
14. Familiarity with cloud data platforms (e.g., Snowflake, Redshift,BigQuery)
15. Experience supporting analytics, AI/ML, or customer-facing data use cases
Your Achievements
16. Delivered product features or data capabilities that were actively used by stakeholders (internal or external)
17. Helped improve the quality, reliability, or usability of pipelines, architecture, reports, dashboards, or datasets
18. Partnered with engineers or analysts to ship something ambiguous and make it clearer
19. Turned loosely defined business questions into concrete product or data requirements
20. Learned from feedback and iterated on solutions based on real usage
21. Gained experience in developing or managing a modern data stack.