Hex is the modern collaborative data-notebook platform — combines SQL, Python, no-code charts, and an AI assistant (Magic) for analysts and data teams. Series C in 2023. The interview emphasizes notebook-runtime engineering, real-time collaboration (CRDTs / OT), and the engineering of multi-engine compute.
Process
Recruiter screen → 60-minute coding (TypeScript or Python, language of choice) → onsite virtual: 2 coding, 1 system design, 1 craft deep-dive, 1 behavioral. Cycle: 3–4 weeks.
What they actually ask
- Design a multi-user notebook with real-time collaboration on cells
- Design a kernel-pool that runs Python and SQL with low cold-start
- Design a permissions/sharing model across orgs and projects
- Coding: medium DSA, often with concurrency or data-structure framing
- Behavioral: data-team empathy, ownership, taste-driven product
Levels and comp (2026)
- SE: $175K–$230K total
- Senior SE: $235K–$320K
- Staff: $325K–$440K
- Principal: $445K–$600K
Prep priorities
- Be fluent in TypeScript (frontend + Node services) and Python (kernel-side)
- Understand collaborative editing (CRDTs/Yjs), notebook execution semantics, and DAG dependency tracking
- Brush up on Snowflake/BigQuery/Redshift query patterns
Frequently Asked Questions
Is Hex remote-friendly?
Hubs in San Francisco (HQ) and remote across US. Some EU/Canada engineers. Mostly remote for engineering.
How does Hex compare to Deepnote or Mode?
Deepnote is the closest competitor — both are modern notebooks. Mode is more traditional BI-flavored. Hex has the strongest collaboration story and a polished AI Magic integration. Comp is competitive at senior+ for early-mid stage.
What is the engineering culture?
Small, taste-driven, ship-focused. Strong product-engineering blend; analyst-empathy expected.