Hive jobs, judged for you, free

What they do

Hive makes a marketing platform for live events. Promoters, venues, festivals, and artists use it to send email and SMS campaigns and sell out shows. Hive connects to more than 25 platforms, such as Ticketmaster and Shopify, so customers can segment ticket buyers by their data. More than 1,500 events and venues across North America use it.

What they value

• Ownership: own results, give credit, and take responsibility.
• Curiosity: stay humble, keep learning, and listen deeply.
• Grit: work hard, stay scrappy, and act with urgency.
• Principled thinking: understand the why before acting.
• Delighting customers: create "wow" moments and refuse to let customers fail.

Where they hire

Hive is remote-first, and its team is 100% remote across Canada. It offers optional coworking for people in Vancouver and Kitchener. The one open role is remote in Canada. The posting does not mention visa sponsorship.

Teams and roles

Hive started in a University of Waterloo computer lab in 2014 and went through Y Combinator that summer. It became profitable in 2016. The board lists one role.

• Engineering: a senior software engineer for machine learning on the R&D Data team. The posting also calls the role a senior data engineer. This person builds and owns the data platform for audience data on millions of attendees, and the ML platform that takes models to production. The work also includes LLM pipelines and agents that enrich and classify audience data.

The stack is Python and Django, with ClickHouse, MySQL, MongoDB, Elasticsearch, and Redshift, and Airflow or Dagster. The posting offers salary and equity, flexible hours, and few meetings.

What they look for

The role asks for eight or more years of hands-on data engineering, with large-scale distributed data and ML systems in production. It wants core ML foundations, feature engineering with pandas and scikit-learn, and MLOps practices such as model versioning and drift monitoring. It also asks for experience with LLMs and agentic systems in production, and the use of AI coding agents such as Claude Code. Hive wants people who frame technical choices by customer impact. The posting does not describe the interview steps.