Staffing Science
Director / Head of Engineering (On-Site, San Francisco – 4-Day Workweek)
MUST BE A US CITIZEN About the Opportunity: We’re partnering with a fast-growing Series A startup that’s using Generative AI to reinvent how complex organizations operate. They’re looking for a hands-on technical leader who can shape engineering direction, scale a growing team, and help define how modern AI integrates directly into real-world product experiences. What You’ll Do
Own architecture across backend, frontend, infrastructure, and AI systems. Define and deliver scalable, secure, and performant foundations for 10x growth. Make critical technical decisions with strong trade-off analysis and execution clarity. Partner with product and design to bring Generative AI capabilities to life. Operationalize LLMs and data pipelines to deliver intelligent, reliable, high-impact user experiences. Translate emerging research into differentiated, durable product features. Lead and mentor a team of 8+ engineers, with plans to nearly double in the next year. Cultivate an engineering culture built around speed, ownership, and continuous learning. Model technical excellence while creating an environment people love to build in. Delivery & Quality
Implement modern CI/CD pipelines, observability tools, and pragmatic workflows. Balance fast shipping with long-term scalability, maintainability, and security. What Great Looks Like
3–5+ years
leading engineering teams (Director/VP/Head level) in startup environments. Proven ability to manage
full-stack development
— ideally in
React / Python
or similar open-source stacks. Hands-on leader who still codes, reviews pull requests, and guides architectural design. Experience delivering
AI-driven
or high-growth SaaS products. Strong partnership mindset with Product and Design; outcome-driven thinker. Deep understanding of scalable architecture, system design, and performance trade-offs. Nice-to-Have
Exposure to
LLM integration, AI/ML pipelines, or Gen AI features . Familiarity with
modern DevOps, observability, and secure infrastructure practices . Experience across both
startup
and
larger-brand environments . Why This Role
4-day on-site workweek
(San Francisco) High-growth Series A company with strong funding and momentum. Opportunity to lead end-to-end architecture, grow a world-class team, and ship transformative AI-driven software.
#J-18808-Ljbffr
MUST BE A US CITIZEN About the Opportunity: We’re partnering with a fast-growing Series A startup that’s using Generative AI to reinvent how complex organizations operate. They’re looking for a hands-on technical leader who can shape engineering direction, scale a growing team, and help define how modern AI integrates directly into real-world product experiences. What You’ll Do
Own architecture across backend, frontend, infrastructure, and AI systems. Define and deliver scalable, secure, and performant foundations for 10x growth. Make critical technical decisions with strong trade-off analysis and execution clarity. Partner with product and design to bring Generative AI capabilities to life. Operationalize LLMs and data pipelines to deliver intelligent, reliable, high-impact user experiences. Translate emerging research into differentiated, durable product features. Lead and mentor a team of 8+ engineers, with plans to nearly double in the next year. Cultivate an engineering culture built around speed, ownership, and continuous learning. Model technical excellence while creating an environment people love to build in. Delivery & Quality
Implement modern CI/CD pipelines, observability tools, and pragmatic workflows. Balance fast shipping with long-term scalability, maintainability, and security. What Great Looks Like
3–5+ years
leading engineering teams (Director/VP/Head level) in startup environments. Proven ability to manage
full-stack development
— ideally in
React / Python
or similar open-source stacks. Hands-on leader who still codes, reviews pull requests, and guides architectural design. Experience delivering
AI-driven
or high-growth SaaS products. Strong partnership mindset with Product and Design; outcome-driven thinker. Deep understanding of scalable architecture, system design, and performance trade-offs. Nice-to-Have
Exposure to
LLM integration, AI/ML pipelines, or Gen AI features . Familiarity with
modern DevOps, observability, and secure infrastructure practices . Experience across both
startup
and
larger-brand environments . Why This Role
4-day on-site workweek
(San Francisco) High-growth Series A company with strong funding and momentum. Opportunity to lead end-to-end architecture, grow a world-class team, and ship transformative AI-driven software.
#J-18808-Ljbffr