About the job

About The Role

This is a founding-level Staff Engineer position at a fast-moving, Y Combinator–backed B2B SaaS startup building AI-powered sales automation for distributors and manufacturers. You'll serve as the technical backbone of the engineering organization — owning high-leverage systems across multiple products, setting architectural direction, and raising the bar on quality, reliability, and AI capabilities.

What You'll Do

• Own the most complex, highest-leverage engineering work: core systems, shared frameworks, and critical infrastructure.
• Define and evolve architecture decisions that prevent long-term dead-ends across products.
• Spend the majority of your time writing and shipping production code, leading by example.
• Eliminate technical debt by refactoring abstractions and raising reliability and engineering standards.
• Mentor engineers through code review, pairing, and direct feedback to improve team output and reduce hidden risk.
• Contribute to the architecture and implementation of AI capabilities, including LLM pipelines and data infrastructure.
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What We're Looking For

• 8+ years of software engineering experience with a track record of solving genuinely hard technical problems in production.
• Deep full-stack expertise with strong backend, API, and infrastructure skills; comfortable on the frontend when needed (Python, React, TypeScript).
• Proven experience designing and evolving systems across multiple products and teams, including long-term architectural strategy.
• Demonstrated ability to improve system performance, reliability, and scalability at scale.
• Cloud and DevOps fluency: containerization (Docker), cloud platforms (Azure, AWS, or GCP), and infrastructure as code (Terraform).
• Experience building or integrating AI systems, LLMs, or large-scale data pipelines is a strong plus.
• A hands-on technical leader who mentors by doing and multiplies team effectiveness.
• Mission-driven, pragmatic, and decisive under uncertainty — comfortable operating with intensity in an early-stage environment.