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Software Engineer, Product

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Jack & Jill
Full Time position
Listed on 2026-02-19
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer, Product

Company Description

Fast-growing AI automation startup

Job Description

You will lead the development of an autonomous AI agent designed to revolutionize how engineering teams investigate production incidents. This role involves defining the product's reasoning interface, building complex data integrations, and working directly with users to solve critical 2AM debugging challenges. You will set high-level technical standards while driving architectural decisions for a high-scale product.

Location

San Francisco, USA

Why this role is remarkable
  • Shape the zero-to-one product direction of an autonomous AI SRE agent that is already achieving high accuracy in production environments
  • Work directly with founders in a high-autonomy environment where you define the engineering standards and product roadmap
  • Join a well-funded startup backed by top-tier VCs that is solving one of the most difficult challenges in modern infrastructure
What you will do
  • Architect the systems powering agent reasoning, including data flows, integration points, and intuitive engineer-facing surfaces
  • Conduct deep-dive research with users to understand production pain points and translate those insights into experimental product features
  • Lead full-stack technical initiatives across Python, frontend, and infrastructure to improve the speed and reliability of automated incident investigations
The ideal candidate
  • Proven experience owning products end-to-end and making high-level decisions on what to build rather than just executing specs
  • Deep familiarity with production infrastructure and incident management, having personally managed the stress of on-call rotations and triaging
  • Strong product instincts with the ability to turn ambiguous user feedback into concrete, scalable technical solutions across the entire stack
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