Senior/Staff Product Engineer, Applied AI

Job Description

### About the Role

Join the applied AI team at a Series A/B workforce technology company serving industrial operations. You will bring AI agents into the core product, building and scaling the backend systems that support worker sourcing, vetting, matching, and placement.

### What You'll Do

* Define how AI agents can automate workflows across a staffing marketplace and guide the team's use of AI-assisted development tools.

* Architect and lead core backend systems, including real-time matching and automated vetting pipelines.

* Own platform architecture and make technical decisions that support the product's needs as it grows.

* Improve backend performance, reliability, and scale across APIs, data models, and distributed systems.

* Partner with product and engineering leaders to turn ambiguous problems into practical, customer-focused solutions.

### What We're Looking For

* Five or more years of software engineering experience for Senior roles, or seven or more years for Staff roles, including end-to-end product ownership in early-stage teams.

* Hands-on experience at a fast-growing startup, shipping and leading high-velocity projects through ambiguity and cross-functional challenges.

* Strong Python and/or TypeScript/Node.js skills, with experience designing APIs, data models, and distributed systems using technologies such as PostgreSQL and Kafka or RabbitMQ.

* Experience building and shipping agentic or applied AI products, and using coding agents to turn ambiguous problems into working prototypes.

* Strong product judgment, with the ability to connect technical decisions to user needs and business impact.

* Background in areas such as AI, marketplaces, matching systems, recruiting, or operational software for non-technical users is valuable.

* Strong computer science or other technical fundamentals, and a track record of sustained ownership in previous roles.

### Compensation \& Benefits

Base salary: $200,000 to $300,000 USD annually. Visa sponsorship is available.

### Location

On-site in San Francisco, California.