# Software Engineer II, Analytics Compute Platform Team at Commandbar

- Company: Commandbar
- What the company does: Use Analytics to understand your customers with trusted data. Then, use Guides and Surveys to close the loop—act on trends and hypotheses with personalized customer experiences. Backed by Soma Capital.
- Company website: https://command.ai
- Type: Startups
- Level: Mid level
- Location: San Francisco
- Work setup: Remote
- Pay: $86K to $118K base salary per year (USD)
- Posted: 2026-11-05
- Apply by: 2026-12-20
- Apply: https://jobs.ashbyhq.com/amplitude/f65ba1d9-f809-442f-88df-453241e8d509?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/commandbar-software-engineer-ii-analytics-compute-platform-team/

## About the role

Every chart, insight, and experiment result a customer sees in Amplitude passes through the compute layer our team owns. We sit between Amplitude’s product experiences, APIs, and MCPs and our analytics database, and we own the compute API that turns a user’s question into a fast, correct answer. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Backend engineering fundamentals: You have 2–4 years of experience building and running production services. You write clear, tested code and can reason about failure, retries, and correctness in data-intensive systems
- Thoughtful problem-solving: You start by understanding the context, decompose tricky problems, and work toward a clean solution. You ask clarifying questions before diving in
- Ownership of quality: You instrument your code, verify outcomes before calling work done, and respond quickly when something you shipped breaks
- Clear communication: You flag risks early, explain decisions in writing and in conversation, and give and receive feedback openly
- Customer curiosity: You ask what problem a customer is trying to solve before you start building. You use Amplitude yourself, can explain it to others, and care whether the feature you shipped made someone’s work better
- Fluency with AI-assisted engineering: You use AI to speed up learning, exploration, and testing while taking responsibility for understanding and validating the result

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/commandbar-software-engineer-ii-analytics-compute-platform-team/