Connecting Odds
Fractal Analytics

Senior Member of Technical Staff

Fractal Analytics
Posted Discovered via the company's careers siteMatch locked
On-sitefull time5+ years exp

About the role

We're supporting a client with the recruitment requirement outlined below. If your recruiting expertise and networks align with the role, please apply to express your interest. Once approved to work on the opportunity, you'll receive the full brief, including the client name, role details, and commercial terms.

Role Details

Company: US-based AI technology company Industry: AI / Agent Infrastructure / Enterprise Software Location: San Francisco, California Employment Type: Full-time Work Arrangement: On-site, 5 days per week Salary: $225,000-$320,000 Equity: Competitive equity Experience: 5-10 years Visa Sponsorship: Open to eligible visa transfers and sponsorship, including H-1B and O-1 Hiring Count: 1 candidate

About the Company

An AI technology company building and deploying advanced AI agents for enterprise customers, including government organizations, banks, hospitals, and Fortune 500 companies. The company has established commercial traction, generates recurring revenue, and focuses on deploying reliable AI systems in complex enterprise environments.

About the Role

The company is hiring a Senior Member of Technical Staff to build and ship AI-powered products and infrastructure. The role combines full-stack engineering, AI agent architecture, and technical leadership, with significant ownership over product development and deployment. The successful candidate will work in a high-performance team, take ownership of complex technical challenges, and have the opportunity to grow into an engineering leadership position.

Responsibilities

  • Design, build, and deploy full-stack products and AI-powered systems.
  • Develop and scale AI agent infrastructure for enterprise applications.
  • Build reliable, secure, and scalable systems using Python, TypeScript, and Next.js.
  • Work with Kubernetes, Helm, and Docker to manage deployment infrastructure.
  • Own features end-to-end, from technical design through production deployment.
  • Improve AI agent reliability through evaluation, sandboxing, observability, and benchmarking.
  • Make architectural decisions and solve complex engineering challenges independently.
  • Lead technical projects, mentor engineers, and contribute to team development.

Requirements

  • 5-10 years of full-stack software engineering experience.
  • Proven experience building and shipping products end-to-end at a high-growth startup or leading technology company.
  • Bachelor's degree in Computer Science or a related STEM field.
  • Strong proficiency in Python and TypeScript/Next.js.
  • Deep knowledge of Kubernetes, Helm charts, and Docker.
  • Ability to operate as a technical lead and manage engineers.
  • Strong problem-solving skills and the ability to work autonomously.
  • Willingness to work on-site in San Francisco five days per week.

Why Join?

  • Work on advanced AI agent systems used by major enterprise customers.
  • Join a technically strong team with a focus on real-world AI deployment.
  • Take significant ownership of product development and technical decisions.
  • Work on complex engineering challenges across AI infrastructure and enterprise software.
  • Earn $225,000-$320,000 in salary, plus competitive equity.
  • Grow into an engineering leadership role, with potential for a future CTO-track position.
  • Join a company with strong commercial traction and an expanding enterprise customer pipeline.

Interview Process

  • Candidate Submission
  • Intro Call
  • Technical Behavioral Interview
  • On-site Project and Presentation
  • Reference checks and offer.

Skills

artificial-intelligencedockerjavascriptkubernetesnext-jspythontypescriptexpress

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

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