Mixpanel

Product analytics to help convert, engage, and retain more users.

Software Engineer - Data (San Francisco)

Location
San francisco, CA
Job Type
Full-time
Experience
3+ years
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About the role

About Mixpanel:
Mixpanel helps companies measure what matters, make decisions fast, and build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain—in real-time, across devices—to improve their user experience.

Mixpanel serves over 26,000 companies from different industries around the world, including Expedia, Uber, Ancestry, DocuSign, and Lemonade. Headquartered in San Francisco, Mixpanel has offices in New York, Seattle, Austin, London, Barcelona, and Singapore.

About the Data Engineering Team:
The Data Engineering team's mission is to make the decision making process at Mixpanel as data-informed as possible. The team is responsible for the overall health and accuracy of the company's key metrics. It owns the systems that collect, enrich, load, and transform data to provide employees at the company with insight into multiple dimensions of the business. This team also owns tooling and frameworks that aim to make it easier to share knowledge about the data and facilitate collaborative analysis. We run in Google Cloud and rely heavily on BigQuery, Cloud Storage and our internal ETL frameworks to automate tasks.

About the Role:
As a founding member of the Data Engineering team, you will be responsible for building, automating, and maintaining data collection and analysis tools to run our internal operations. You will work closely with partners within Mixpanel to understand their data needs and deliver solutions. Because a lot of our customers are also likely to require the same kind of solutions that we need internally at Mixpanel, you’ll have the unique opportunity to influence our product offerings through your work.

Responsibilities:

  • Own the implementation and measurement of the company’s key metrics
  • Work with internal product and engineering teams to implement rich data collection for internal use
  • Build and maintain ETL jobs for centralizing data into our Google Cloud data lake
  • Build and maintain tools to automate data modeling and data quality checks
  • Work with internal partners including Executive Team, Marketing, Business Operations, Customer Support, Finance, Growth, and others to assist with their data needs
  • Put in place tooling and frameworks to facilitate data governance and shared analysis between internal organizations

We’re Looking For Someone Who Has:

  • 4+ years of experience building and managing data collection pipelines
  • A software generalist who is comfortable working across the full stack
  • You’ll work with at least one of these languages Javascript, Python or Go
  • Familiarity with cloud and warehousing technologies
  • Individuals who are motivated by enabling and helping others within the company be data driven
  • Great communication and interpersonal skills

Benefits and Perks:

  • Comprehensive Medical, Vision, and Dental Care
  • Mental Wellness Benefit
  • Generous Vacation Policy & Additional Company Holidays
  • Enhanced Parental Leave
  • Volunteer Time Off
  • Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values:
Be Open: When knowledge becomes open, we can come together as a team to collaborate around a shared purpose
Customer Focus: Our customers’ success is our success
Lead Change: Everyone at Mixpanel has the capacity to make an impact on the business
Results Oriented: Driving results in a measurable way ensures we stay focused on the highest impact initiatives
One Team: We can’t win without each other

Why choose Mixpanel?
A clear market leader in the product analytics space, Mixpanel has raised $77M from world-renowned VC firms like Andreessen-Horowitz, Sequoia, and YC, and our revenue has grown significantly since then. Our ambitious, collaborative team makes it possible by finding creative solutions to new challenges with scaling, reliability, design, and customer service.

Mixpanel is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records.

Why you should join Mixpanel

About Mixpanel

At Mixpanel, our mission is to increase the rate of innovation. Not only as a company, but for the businesses we serve. Through our analytics platform, companies can analyze how and why their users engage, convert, and retain in real time across web, mobile, and smart devices. Then they can use that data to improve their business and products.

About Mixpanel Engineering

  • The Engineering, Product and Design teams at Mixpanel together build Mixpanel’s product. The team consists of very talented and nice people who collaborate to solve problems.

  • We organize in Product Groups which are small groups (3 to 8 people) comprised of engineers, product managers and designers working on a problem or an investment area with complete autonomy over the development process.

  • We are customer focused and data driven - We like to iterate, learn and improve quickly using qualitative and quantitative data to continuously deliver customer value.

  • Our engineering team gets to work on really challenging and exciting engineering problems because of the nature of our product and our scale.

  • We use our own product on a daily basis!

Mixpanel serves over 26,000 companies from different industries around the world, including Samsung, Twitter, and BMW. Headquartered in San Francisco, Mixpanel has offices in New York, Seattle, Austin, London, Barcelona, Paris, Amsterdam and Singapore.