Deepnote

Full Stack Engineer

Deepnote
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2 years ago
Remote, United StatesMid Level

Responsibilities

  • Build new features across the stack, including backend logic, APIs, and polished UI components
  • Design and iterate on AI-powered features including chatbots, copilots, code generation, and agents
  • Use prompts, evaluations, and context handling to deliver reliable AI features
  • Enhance the real-time collaborative notebook experience
  • Structure, transform, and route information through the product
  • Gather user feedback, design workflows, and support the data science and developer community

Requirements

  • Strong full-stack product engineering experience with TypeScript, React, Node.js, GraphQL, and PostgreSQL
  • Hands-on experience building AI/LLM products such as chatbots, assistants, or AI-powered features
  • Ability to design prompts, work with AI models, and optimize AI experiences
  • Understanding of LLM tokenization, memory and context limits, and cost, latency, and quality trade-offs
  • Data-oriented approach to structuring and routing information through products
  • Ability to learn quickly, ship quickly, act proactively, and take ownership of delivered work

Benefits

  • Equity options in an early-stage venture
  • Team events, off-sites, and company retreats
  • Credit card with unlimited budget for learning, self-development, and work-related expenses
  • Travel budget to meet the team
  • 25 days of paid time off and unlimited sick days
  • Paid parental/family leave
  • Flexible working hours
  • Paid lunches, snacks, and drinks as an office benefit
  • $2,000 kick-start bonus
  • $1,000 health budget
Deepnote

About Deepnote

11-50 employees

Deepnote builds a collaborative, cloud-based data notebook for data scientists and analysts, combining SQL, Python, and visualizations with Jupyter compatibility. Teams use it to explore data, connect to warehouses like BigQuery or Snowflake, schedule runs, and publish dashboards or apps; it is sold as a SaaS subscription. Founded in 2019 and headquartered in San Francisco, the company is privately held and raised a Series A in 2022.

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