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Software Engineer, Search & Recommendations

San Francisco, California, United States

Software Engineer, Search & Recommendations

Full-time | San Francisco | California | United States


Last year at Eventbrite organizers created 3 million events and we processed 150 million tickets. Behind all of those tickets and events is a number of teams working together to keep our product scalable and available as we grow.  Our goal is to be the global platform for live experiences.


We're a people-focused Engineering organization:  the women and men on our team value working together in small teams to solve big problems, supporting an active culture of mentorship and inclusion, and committing themselves to learn new things daily. Pair programming, weekly demos, tech talks, and quarterly hackathons are at the core of how we’ve built our team and product. We believe in engaging with the community, regularly hosting free events with some of the top technical speakers, and actively contributing to open source software. Our technology spans across web, mobile, API, big data, machine learning, search, physical point of sale, and scanning systems. 


Join our Consumer engineering team and help make Eventbrite an indispensable platform for finding the best events anywhere in the world.  You'll build products that deeply understand the interests of users so we can re-engage them with the right events at the right time. You'll work directly with product management, product design, and data analysts to get a deep understanding of how our users explore our inventory and you will architect the systems to most effectively satisfy our users’ needs.


  • 3+ years building high performance systems and services
  • 3+ years experience as an application or data engineer - and possibly both
  • Consumer-facing application engineering involves understanding of backend web technologies such as Django and datastores such as MySQL, redis, and elasticsearch
  • Data engineering involves understanding of distributed batch-processing systems such as Spark
  • Analytical mindset – comfortable asking big questions about the system as a whole, breaking these down into smaller testable hypotheses, and then doing whatever is required to find the answers
  • Familiarity with the basic principles and activities of data science - collecting and cleaning data; extracting and evaluating features; designing, building, and training a model; evaluating results
  • Familiarity with SQL – Able to self-service basic to intermediate analytics inquiries. Able to gather data for training sets or for indexing into various data stores
  • Unstoppable learner – Initially you may not have all the skills above, but you’re confident that you can learn what you need in very short order
  • Efficient, practical programmer with a record of producing maintainable code
  • Ability to take initiative and produce results with great communication and collaboration skills
  • Passion to learn and to mentor others
  • Desire to work on a highly visible product that impacts millions of users


  • 3+ years working with search and/or recommendation technology. In particular we are interested in providing the most relevant and engaging results
  • Have worked specifically in an e-commerce or marketplace setting
  • Experience with rapid prototyping and experimentation


Eventbrite is a global ticketing and event technology platform, powering millions of live experiences each year. We empower creators of events of all shapes and sizes – from music festivals, experiential yoga, political rallies to gaming competitions –– by providing them the tools and resources they need to seamlessly plan, promote, and produce live experiences around the world. Last year, the team served 795,000 creators hosting nearly 4 million experiences across 170 countries. Meet some of the Britelings that make it happen.


Sign up to keep in touch and we’ll let you know when we have new positions on our team.

Eventbrite is a proud equal opportunity/affirmative action employer supporting workforce diversity.  We do not discriminate based upon race, ethnicity, ancestry, citizenship status, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, registered domestic partner status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military or veteran status, mental or physical disability, political affiliation, status as a victim of domestic violence, assault or stalking, or other applicable legally protected characteristics.

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