Our Mission
As humans there are few things more exciting than meeting someone new. At Tinder were inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users hundreds of millions of downloads 2 billion swipes per day 20 million matches per day and a presence in 190 countries our reach is expansiveand rapidly growing.
We work together to solve complex problems. Behind the simplicity of every match we think deeply about human relationships behavioral science network economics AI and ML online and realworld safety cultural nuances loneliness love sex and more.
Our Values
One Team One Dream: We work handinhand building Tinder for our members. We succeed together when we work collaboratively across functions teams and time zones and think outside the box to achieve our company vision and mission.
Own It: We take accountability and strive to make a positive impact in all aspects of our business through ownership innovation and a commitment to excellence.
Never Stop Learning: We cultivate a culture where its safe to take risks. We seek out input share honest feedback celebrate our wins and learn from our mistakes in order to continue improving.
Spark Solutions: Were problem solvers focusing on how to best move forward when faced with obstacles. We dont dwell on the past or on the issues at hand but instead look at how to stay agile and overcome hurdles to achieve our goals.
Embrace Our Differences: We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking we build better experiences for our members and our team.
The Team
Data influences all of the decisions we make at Tinder. As a Software Engineer on the Data Analytics Engineering team you will have the opportunity to build critical analytics infrastructure used to derive insights and serve several teams in the organization. Were looking for someone who is passionate about answering timely business questions through data and empowering colleagues to fully engage with data.
Analytics Engineering is a team within the larger Data Engineering org that works closely with Finance Analytics Product Marketing and other engineering teams to make data as easily consumable as possible.
Where youll work:
This is a hybrid role and requires inoffice collaboration twice per week. This position is located in Palo Alto CA.