Full Time Q1 Visa Jobs (NOW HIRING)

San Francisco, CA · On-site · Full-time Compensation: $250,000–$450,000 + 0.75%–2% equity

Our client is building an enterprise-grade AI operating system. It post-trains open-source models on a customer's own data, integrates across the enterprise stack (email, Slack, ERPs, CRMs), and lets employees and executives take action through natural language — all deployed in the customer's own cloud, so company data never leaves their servers and model weights become corporate assets over time. It reports $5M ARR in Q1 across 50+ customers, with preemptive Series A interest.

Founded 2025 · 1–10 people (Seed) · Industry: AI Tools

A Member of Technical Staff who can handle everything from modeling to systems to product, taking ideas from concept to real-world production without a roadmap, reporting directly to the founder/CEO. The culture is extremely high-intensity and fully on-site in SF.

Tech stack: Python; modern engineering / ML frameworks; AWS or GCP; data pipelines & APIs.

• A Bachelor's or Master's in Computer Science, Engineering, or a related field
• Strong proficiency in Python and modern engineering or ML frameworks
• Experience building and deploying systems in production environments
• Familiarity with data pipelines, APIs, and cloud infrastructure (AWS, GCP)
• Experience with machine-learning models or data-driven systems

• Experience deploying or scaling ML systems in production
• Familiarity with LLMs, agents, or workflow-automation systems
• Experience with distributed systems or large-scale infrastructure
• Prior startup experience as a founding team member or co-founder — has operated without structure and thrived
• A high-growth startup background (e.g., Databricks, Stripe, Ramp, or equivalent) with a compelling reason for pivoting into a heavy AI role
• A background at a frontier AI lab (e.g., Anthropic, OpenAI, DeepMind, or equivalent)
• Has lived and worked in the SF Bay Area or a comparable startup ecosystem
• A top-school pedigree (e.g., MIT, Stanford, Berkeley, CMU, Waterloo, or equivalent)

• A direct line to the founder: report directly to the CEO and work alongside a small, intense SF team
• Breakout traction: $5M ARR in Q1, 50+ customers, and preemptive Series A interest at the seed stage
• Real ownership and equity: 0.75%–2% equity with end-to-end scope, taking ideas from concept to production with no roadmap handed down
• Frontier AI work: post-training open models on customer data and shipping agent-powered enterprise tooling

• Location — San Francisco, CA
• Work policy — On-site
• Compensation — $250,000–$450,000 + 0.75%–2% equity
• Visa sponsorship — Available (H-1B, O-1)
• Employment type — Full-time