AI Platform Engineer - 1815
 

Location: San Francisco, CA (Onsite)
Job Type: Full-Time
Compensation: $200,000 – $300,000 Base Salary + Equity

About the Role

We're looking for experienced AI Platform Engineers to build and scale the infrastructure that powers an AI-first engineering organization. This is one of the highest-impact roles on the team, focused on improving developer productivity, strengthening platform reliability, and enabling rapid product innovation.

You'll own the systems that support deployment, security, observability, AI-assisted development, and cloud infrastructure. Your work will directly increase engineering velocity while helping the company scale enterprise-ready products.

This role is ideal for someone who thrives in startup environments, enjoys solving complex infrastructure challenges, and has a passion for building scalable internal platforms.

What You'll Do

• Design, build, and maintain scalable platform infrastructure supporting engineering teams.
• Improve CI/CD pipelines, deployment workflows, testing frameworks, and developer environments.
• Build AI-powered internal tools that increase engineering productivity and accelerate software delivery.
• Strengthen platform security, compliance, monitoring, and operational readiness.
• Evaluate and implement modern infrastructure, storage, and compute technologies.
• Design reliable cloud infrastructure with a focus on scalability, performance, and cost optimization.
• Support production environments, troubleshoot incidents, and implement long-term reliability improvements.
• Enable both technical and non-technical teams to safely build, test, and deploy software.
• Partner closely with engineering leadership to evolve the company's AI-first development platform.

Required Qualifications

• 5+ years of Platform Engineering or Infrastructure Engineering experience.
• Experience building and maintaining production infrastructure within a B2B SaaS environment.
• Startup experience, ideally at a post-Series A company.
• Proven experience supporting production systems through rapid growth and scaling.
• Strong understanding of deployment automation, reliability engineering, monitoring, and infrastructure operations.
• Bachelor's degree required.

Technical Qualifications

Candidates should have experience with many of the following technologies:

Cloud & Infrastructure

• Kubernetes
• Docker / Containerization
• AWS, GCP, or Azure
• Cloud networking
• Infrastructure monitoring
• Reliability engineering
• Rollbacks and deployment strategies
• Database migrations

Development & Automation

• TypeScript
• Python
• CI/CD pipelines
• Modern developer tooling
• Remote development environments
• AI-assisted software development tools

AI Engineering

• AI-first development workflows
• AI coding assistants
• Developer productivity tooling
• Internal AI automation

Nice to Have

• ETL pipelines
• Cloudflare
• SOC 2 environments
• Web application infrastructure
• Chrome extension development
• Martech or data platform experience

Preferred Qualifications

• Previous Founder or Founding Engineer experience.
• Experience helping scale startups from Series A through Series B.
• Background with modern B2B SaaS infrastructure or horizontal software platforms.
• Experience building enterprise-grade infrastructure that supports rapid product development.
• Degree from a highly regarded university is a plus.

What We're Looking For

The ideal candidate is highly technical, self-sufficient, and passionate about building infrastructure that empowers other engineers.

Successful candidates will demonstrate:

• Strong ownership mentality.
• Startup mindset with a bias toward execution.
• Excellent engineering judgment across security, scalability, reliability, and speed.
• Deep curiosity about AI-assisted software development.
• Ability to work independently while collaborating across multiple teams.
• Passion for improving engineering productivity through automation and platform tooling.
• Attention to detail and commitment to operational excellence.

Candidates Unlikely to Be a Fit

The following backgrounds generally do not align with this opportunity:

• Engineers whose experience is exclusively within large enterprise or FAANG organizations.
• Candidates who prefer architecture or leadership roles without remaining hands-on.
• Engineers who are unwilling to manage infrastructure, production systems, or operational responsibilities.
• Professionals lacking startup experience or exposure to rapidly scaling engineering environments.
• Candidates who are not detail-oriented or comfortable working across multiple technical domains.