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Member of Technical Staff - Full-stack

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: NeoSigma
Full Time position
Listed on 2026-06-13
Job specializations:
  • Software Development
    Full Stack Developer, Backend Developer, Cloud Engineer - Software, Software Engineer
Job Description & How to Apply Below
What you'll do:
  • Build scalable, production-grade full-stack systems that serve millions of users with high reliability and performance
  • Develop robust backend API services (Python) that power core product functionality and data workflows
  • Design and implement intuitive, high-quality frontend experiences - with strong attention to design, usability, and customer experience
  • Architect and manage deployments on GCP and Kubernetes, ensuring reliability, observability, and scalability
  • Design and maintain storage backends (databases, object storage, caching layers) to support high-throughput, data-intensive systems
  • Own features end-to-end - from product conception and system architecture to deployment, monitoring, and iteration
  • Collaborate closely with customers and internal teams to ship quickly, incorporate feedback, and continuously improve the product
What we look for:
  • Strong experience building and shipping full-stack web applications, with the ability to move fluidly between frontend and backend
  • Proficiency in modern frontend technologies (Type Script, React, modern CSS, Vercel) and backend development (Python or similar), with experience operating production systems
  • Hands-on experience deploying and operating systems on GCP and Kubernetes, with strong infrastructure fundamentals
  • Experience designing and managing storage systems (SQL/No

    SQL databases, object storage, caching layers)
  • Interest in AI systems and enthusiasm for building tools that help engineers work more effectively with AI agents
  • High bar for product quality, performance, and user experience - balanced with the ability to move quickly and iterate
  • Generalist mindset with comfort working across infrastructure, APIs, data models, UI layers, and deployment environments
  • Strong ownership mentality and ability to thrive in a fast-paced startup environment
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)
Our Core Values:
  • Customer Obsession - We start with the customer and work backwards. We aim to earn trust through consistent delivery, thoughtful listening, and by obsessing over customers.
  • Intellectual Honesty - We operate with high trust and low ego. Ideas matter more than titles, and we communicate openly and directly while assuming good intent, even in strong disagreement.
  • Bias for Action - We set high standards and move quickly to meet them. We prefer building and learning with customers over debating in the abstract, and we iterate based on real feedback.
  • Extreme Ownership - We take responsibility for outcomes, not just tasks. Ownership means seeing problems through to completion and ensuring solutions truly work in practice.
Benefits and perks
  • Competitive salary plus meaningful equity package
  • Comprehensive medical benefits and generous PTO
  • Flexible work arrangements
  • Direct impact on company direction and technical decisions
  • High ownership and the opportunity to make a career-defining impact
  • Visa sponsorship
As a founding member, you'll help define the technical foundation of Neo Sigma. Your scope will grow with the company, from owning core systems end-to-end to shaping architecture, hiring, and engineering culture. This role has a natural path toward technical leadership or engineering management as the team scales.

About Us

Neo Sigma is a product-driven research lab building the intelligence layer that helps close the feedback loop between your customers, products, and AI systems.

We are a small, intensely technical team of researchers and engineers who have trained frontier-scale models and widely used AI products and agents at Parallel Web, Essential AI, MIT, Apple, and Amazon.
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