Drimva

Amplitude

Staff Software Engineer, Business Systems & Data

$198K–$331K

San Francisco · Staff · Full-time · Posted Sep 21, 2026

Experience
5+ years engineering experience shipping and running production services.
Education
Bachelor's Degree in Computer Science, Engineering or related field.

About the job

Build AI-native full-stack applications, integrations, and data systems that improve internal business operations and financial reconciliation.

What you'll do

  • Design and build full-stack apps and tools for operational use cases; own them across the software development lifecycle.
  • Build service connectors for AI and automation tools, and evolve tools and processes to improve team velocity.
  • Drive end-to-end financial reconciliation from quote to revenue recognition, supporting cross-system reporting and traceability.

What they ask for

  • 5+ years engineering experience shipping and running production services.
  • Bachelor's Degree in Computer Science, Engineering or related field.
  • Full-stack development experience across frontend, backend, tools and integrations; experience with data warehouses and SQL-based systems.
  • Experience with frontier AI tooling, including harnesses, MCP servers, and agents.

Nice to have

  • Experience evaluating LLM systems using eval harnesses, regression suites, and accuracy tracking over time.
  • Familiarity with dbt, Snowflake, medallion-style warehouse architecture, or NetSuite, Salesforce, Workday, Zip, Ramp, or Stripe; prior internal-tools, solutions, or platform engineering experience.

Pay

$198,000 - $299,000 USD total target cash (inclusive of bonus or commission); $220,000 - $331,000 USD total target cash (inclusive of bonus or commission); $220,000 - $331,000 USD total target cash (inclusive of bonus or commission); $198,000 - $299,000 USD total target cash (inclusive of bonus or commission); $198,000 - $299,000 USD total target cash (inclusive of bonus or commission)

Tools

SQL, MCP servers, dbt, Snowflake, NetSuite, Salesforce, Workday, Stripe

AI focus

Build AI-native apps, agents, tools, and service connectors; apply frontier AI tooling to internal systems and workflows; optionally evaluate LLM systems.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)