Fountain
San Francisco
51-200 employees
Fountain enables companies to hire the right workers at scale through smart, fast, and seamless software.
Manager, Product Analytics
Manager, Product Analytics
This job is no longer open
Fountain is enterprise software that accelerates global high volume hiring. Our customers hire millions of hourly workers annually in 78 countries. Job seekers often struggle to get connected with companies seeking hourly workers due to inefficiencies in their hiring processes, and Fountain makes it easier for them to get offers for work quickly. Getting hired fast eases some of the financial instability millions of families face.
Fountain is a Remote-first company that embraces a work from anywhere policy and offers flexibility on location, so our employees feel free to enjoy the world. Fountain is widely trusted by leading organizations, including Chipotle, StitchFix, GoPuff and Just Eat Takeaway.
We just 4.5Xed in valuation in our Series C, which was led by Softbank and B Capital. We plan on keeping this hyper-growth going this year! Come join us on this rocket ship!
In this role you will work with our internal teams to deliver superior analyses and product improvements that drive growth using first- and third-party data. Your deep curiosity and tenacity, combined with business judgment will surface actionable solutions to optimize product flows. You will seek to deliver exceptional results to demonstrate our data-first approach to both current and prospective customers.
Reporting to the Director, Business Analytics, you will have the opportunity to showcase your work to the leadership team. You will lay the foundation to build a high-caliber team reporting to you, expanding Product Analytics and actively contributing to Fountain’s rapid growth.
What you will be doing:
- Work with Product Managers and Engineers to dive deep into product data and the user experience
- Construct product metrics and statistical models to identify growth opportunities
- Test out the tools and products Fountain is building to provide feedback for our product and engineering teams
- Hire and develop high caliber Product Analysts
- Providing expertise and advice to various Fountain teams on the right way to collect, structure, and retain data for use in analytics
- Communicating the results of your analyses to team members, other teams, leadership, and occasionally customers or prospects
What you should bring:
- Bachelor’s degree required in Computer Science, Statistics, or Mathematics or equivalent field required
- 5+ years of industry experience, with expertise in Product Analytics, Business Analytics, or Data Analysis
- Proficiency with SQL
- Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring
- Ability to work collaboratively in a team and create an inclusive environment with people at all levels of an organization
- Capability to drive an independent workstream in the context of a broader team project
- Ability to break down and solve problems through quantitative thinking and analysis
Amazing Perks & Benefits we provide for our employees include (but are not limited to):
Flexible PTO & Work Hours
"Work from Anywhere" Policy
Comprehensive medical, dental, and vision coverage
HSA & FSA (Medical and Dependent Care)
Life Insurance & STD/LTD
16 Weeks Paid Parental Leave for Birth/Adoption
Wellness/Gym Reimbursement
Phone Stipend
Remote IT/Home Office Stipend
Learning and Development Reimbursements
Fun, interactive and inclusive team-building events, off-sites, and happy hours
401K Plan
Even if you do not meet all the requirements above, we still encourage you to apply for this position. While we try to be thorough with our prerequisites, not everything about you as a candidate can be condensed into a list of bullet points.
We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, socioeconomic status, disability, and veteran status.
*Fountain is proud to be an Equal Opportunity Employer—M/F/D/V*
This job is no longer open