Deepnote

1 year ago

Senior Full Stack Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Join a data notebook platform as a Full Stack Engineer responsible for building features across the stack (backend and frontend) and crafting AI-powered capabilities. You’ll own end-to-end development, shape real-time collaboration experiences, and contribute to data-first workflows while working with TypeScript, React, and AI tooling in a fast-paced, autonomous team.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build new features across the stack — backend logic, APIs, and polished UI components.
•Design and iterate on AI-powered features (chatbots, copilots, code generation, agents).
•Work with prompts, evaluations, and context handling to deliver reliable AI features.
•Enhance our real-time collaborative notebook experience.
•Think data-first: structure, transform, and route information through the product.

Pay and Benefits

Perks:Remote WorkHealth InsuranceEquityPaid LeaveLearning BudgetWellness StipendGym MembershipRelocationTuition AssistanceRetirementVisionDentalPaid ParentalLife Insurance

Key Requirements

•Strong in full-stack product engineering with TypeScript, React, NodeJS, GraphQL, and PostgreSQL.
•Hands-on experience with AI/LLM products (chatbots, assistants, or AI-powered features) and designing prompts to maximize model performance.
•Understanding of LLM basics: tokenization, memory/context limits, and the trade-offs between cost, latency, and quality.
•Data-oriented mindset: thinking about how information flows through a product and how to make that thinking practical.
•You learn quickly, ship fast, and stand behind your work with initiative and ownership.

Experience:Data science toolingAI/LLMReal-time collaborationData notebooks

Skills:Problem-solvingCommunicationTeamworkAdaptabilityOwnership

Tech Stack:TypeScriptReactGraphQLNode.jsPostgreSQLRedisKubernetesAWS

Company Brief

Deepnote

Deepnote builds a collaborative, cloud-based data science notebook that enables teams to code, query, visualize, and share analyses with real-time collaboration, versioning, and integrations for data workflows.

Industry: Data Infrastructure

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 4.7

Website LinkedIn Glassdoor

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Deepnote

1 year ago

Senior Full Stack Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build new features across the stack — backend logic, APIs, and polished UI components.
•Design and iterate on AI-powered features (chatbots, copilots, code generation, agents).
•Work with prompts, evaluations, and context handling to deliver reliable AI features.
•Enhance our real-time collaborative notebook experience.
•Think data-first: structure, transform, and route information through the product.

Pay and Benefits

Perks:Remote WorkHealth InsuranceEquityPaid LeaveLearning BudgetWellness StipendGym MembershipRelocationTuition AssistanceRetirementVisionDentalPaid ParentalLife Insurance

Key Requirements

•Strong in full-stack product engineering with TypeScript, React, NodeJS, GraphQL, and PostgreSQL.
•Hands-on experience with AI/LLM products (chatbots, assistants, or AI-powered features) and designing prompts to maximize model performance.
•Understanding of LLM basics: tokenization, memory/context limits, and the trade-offs between cost, latency, and quality.
•Data-oriented mindset: thinking about how information flows through a product and how to make that thinking practical.
•You learn quickly, ship fast, and stand behind your work with initiative and ownership.

Experience:Data science toolingAI/LLMReal-time collaborationData notebooks

Skills:Problem-solvingCommunicationTeamworkAdaptabilityOwnership

Tech Stack:TypeScriptReactGraphQLNode.jsPostgreSQLRedisKubernetesAWS

Company Brief

Deepnote

Industry: Data Infrastructure

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 4.7

Website LinkedIn Glassdoor