• The world’s largest companies are buying more external data
• We license data to leading Fortune 500 enterprises
• Our product is not a particular dataset, but rather the ability to quickly collect, clean, and reliably provide high-quality data over time
• We're currently focused on the restaurant industry
• Founded in 2019 by Richard Kreger (CEO, enterprise sales) and Cameron Cairns (CTO, software engineer)
• Very small team, all San Francisco-based
• Raised only from YC and a couple angels (i.e. minimal dilution)
• Profitable

Join our small and nimble engineering team! We’re looking for an experienced engineer who enjoys working on a variety of different projects and large(ish) data pipelines (100M+ data points collected every month).

• Work in our downtown San Francisco office a few times per week
• Provide mentorship to your teammates via code and architecture review
• Help to improve, maintain and expand our end to end data pipeline
  • Create and manage data collection/crawling scripts that utilize everything from basic HTTP requests to browser and mobile app automation  (deep experience in this area is a huge plus)
  • Build and maintain automation/scheduling tooling to ensure data is collected on a timely and consistent basis (we’re currently using self hosted Dagster for scheduling)
  • Create data cleaning and normalization scripts (with some opportunity to integrate ML/LLMs for labeling/cleaning)
  • Help with miscellaneous DevOps tasks to help manage the infrastructure running all the above
• Our codebase is mostly Python with Typescript and Golang used when they make sense. We almost entirely rely on self hosted open source/core services on bare VMs via docker compose.

About you

• Proficient (intermediate or higher) in:
  • Python (e.g. can write a decorator, understand async/await, MRO, contextmanagers)
  • SQL (e.g. familiar with complex joins, efficiently bulk update 10k+ rows, schema migrations)
• Basic understanding of Linux and Docker
• Excited to work on a variety of different projects, sometimes many at the same time
• Able to execute with minimal supervision
• Bonus skills: Web Crawling, Kubernetes, LLM Pipelines, DB Administration, HomeLab/Server Administration, Background in Statistics, Full Stack Web Development, Mobile App Development

Benefits

• Lunch provided when in office
• Unlimited PTO
• 401k
• Company paid Platinum PPO health and comparable dental & vision insurance
• $160K - $220K salary, 0.5% - 3% equity