Senior Member of Technical Staff
- Salary
- $225K–$320K
- Moves you to
- United States
- Support
- Visa sponsorship
- Posted
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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.
