N
Nimble Robotics
Business Operations Associate (AI Tooling)
Skills
DockerReactTypescriptPostgreSQLDatabricksGitData AnalysisAIdbtGitHubFastAPISupply ChainFullstack Development
22 days ago
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Important information
Contract type:
Permanent
Salary:
$120,000 – $160,000 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
4 October 2026
What they need
- Work with non-engineering teams across Nimble (operations, finance, sales, supply chain, recruiting, HR and others) to find manual, repetitive work and replace it with tools
- Build and maintain internal tools for capacity planning, customer forecasting, pricing, billing, candidate sourcing and KPI reporting
- Build Slack bots and assistants that answer questions using our warehouse, robot and financial data
- Support your tools after launch: fix issues, help users, and follow up on whether they’re being used
- Help the rest of the team get more out of AI coding tools, including our shared Claude Code setup and documentation
- Define and monitor KPIs and keep the data behind them accurate
- Make sure anything that touches billing, customer or employee data, or production systems, has the right review and approvals
- Analyze data and bring recommendations to leadership- This role is for someone who wants to do business operations work and also build the tools behind it
- Understanding of how software is structured (data types, functions, APIs, databases, version control); comfortable using AI agents to write code, and comfortable with REST APIs, Git and the command line
- Bachelor’s degree in Computer Science preferred; Mathematics, Engineering or a related technical field also considered
- Creative, intellectually curious, and able to scale steep learning curves quickly
- Examples of projects you’ve built with AI coding tools such as Claude Code, Cursor or Codex
- Evidence of exceptional ability, especially in an ambiguous environment
- Strong analytical skills and good business judgment
- Strong written and verbal communication, including explaining technical topics to operations teams and executives
- Familiarity with LLM APIs (prompting, tool calling, structured outputs)
- 1-3 years of experience in software engineering, data/analytics, solutions engineering, or a technical business operations role
- Willing to work extended hours as needed
- Building Slack bots, MCP servers or other tools used by a team
- Web development and deployment (e.g. FastAPI, Postgres, React/TypeScript, Docker)
- Databricks, dbt, or BI tools such as Sigma
- Supply chain, warehousing, logistics or other hard-tech operations
- Internship or early experience in consulting, banking or business operations
- A GitHub profile or personal projects
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