Chief / Staff Software Engineer

W3 Global SourcingSan Francisco, CA
Hybrid

About The Position

We're hiring exceptional Staff / Principal-level engineers to take end-to-end ownership of major technical domains within a fast-growing agentic AI platform. This is not a traditional engineering management role. You will be a deeply hands-on technical leader who architects systems, writes production code, reviews critical work and sets the technical bar by doing the work yourself. You'll have the autonomy of a founding engineer while operating on a platform that already serves real customers at meaningful scale. Think of the role as being the technical owner of an entire product or platform domain — responsible not only for how it is built, but for whether it succeeds. You'll work directly with founders and product leadership, partner closely with a Domain PM, and help shape the next generation of AI-native financial services.

Requirements

  • 6–14 years of software engineering experience, with approximately 8–12 years being a common sweet spot.
  • Track record shows that you have already operated with significant technical ownership.
  • Evidence of owning a mission-critical system, platform or product end-to-end
  • Strong 01 experience — you have taken something from an idea or ambiguous problem into production
  • Experience building systems that reached real users and operated at meaningful scale
  • Strong software engineering and systems-design fundamentals
  • The ability to reason from first principles rather than relying on familiar patterns
  • High learning velocity — you can enter an unfamiliar problem space and become productive quickly
  • Experience in a high-growth startup, scale-up or similarly high-velocity environment
  • Comfort working through ambiguity and changing requirements
  • Deep, daily use of modern AI development tools
  • A strong preference for building and technical ownership over people management
  • Experience with agentic AI, conversational AI, voice AI, LLM systems, retrieval, evaluation, distributed systems, AI infrastructure or fintech is highly relevant, but we will also consider outstanding engineers from adjacent technical domains.
  • Python
  • Node.js
  • React
  • Frontier foundation models
  • Modern AI development tooling
  • Strong engineering fundamentals, learning speed and evidence that you can take ownership of complex systems

Nice To Haves

  • Staff Software Engineers
  • Principal Engineers
  • Senior Staff Engineers
  • Technical Leads who remain highly hands-on
  • Exceptional Senior Engineers ready to step into Staff-level ownership
  • Hands-on technical founders or CTOs who never stopped building

Responsibilities

  • Own a critical technical domain end-to-end
  • Architect systems and make the most important technical trade-offs
  • Continue to write and ship production code
  • Take ambiguous problems from first principles through to production
  • Set engineering standards for quality, reliability and velocity
  • Review and unblock other senior engineers through technical credibility
  • Partner with product leadership on both technical direction and business outcomes
  • Build systems designed for real-world scale, reliability and customer usage
  • Help establish an AI-native engineering culture
  • Use frontier AI development tools such as Claude Code, Cursor and similar platforms as a core part of your engineering workflow
  • Rapidly learn unfamiliar technologies and domains when the problem requires it

Benefits

  • Competitive compensation + meaningful equity
  • Full benefits are provided.
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