Vice President of Engineering

Staffing Science is a fast-growing, product-driven startup in the developer infrastructure space, seeking a Vice President of Engineering. The role involves leading a globally distributed engineering organization while acting as a technical authority on architecture, infrastructure, and AI-driven product capabilities.

Responsibilities:

• Lead, mentor, and scale a global engineering org of ~40 engineers across platform, infrastructure, and product
• Act as a technical partner to platform/infra teams, contributing to architecture decisions across distributed systems and global compute
• Bring structure and execution rigor to a high-velocity engineering environment without slowing innovation
• Drive best practices across platform engineering, DevOps, and Kubernetes-based systems
• Partner with product to align engineering efforts with company strategy, including AI-driven product initiatives
• Evaluate and evolve the company’s infrastructure to support scalable, AI-enabled workloads and applications
• Balance feature velocity with reliability, performance, and infrastructure maturity
• Build and maintain a strong engineering culture focused on ownership, craftsmanship, and accountability
• Hire and develop top-tier engineering talent across backend, frontend, and infrastructure
• Ensure systems are built for global scale, performance, and extensibility
• Stay close enough to the technology to credibly challenge decisions and guide technical direction

Requirements:

• Must be US Citizen or Green Card Holder
• Must have VP or Director of Engineering experience within Series A–C startups and a background in developer tooling, developer infrastructure, or developer platforms
• Strong software engineering fundamentals
• Deep expertise in platform engineering, DevOps, Kubernetes, and modern infrastructure systems
• Clear track record of leaning into AI and building or supporting AI-powered products
• 5+ years in VP or Director-level engineering leadership roles in Series A–C startups
• Experience leading and scaling distributed engineering teams (20+ engineers)
• Proven ability to bring structure to ambiguity while maintaining speed
• Strong background as a software engineer earlier in career (you've built real systems)
• Deep expertise in Platform Engineering
• Deep expertise in DevOps / Infrastructure
• Deep expertise in Kubernetes & container orchestration
• Deep expertise in Distributed systems architecture
• Experience working in developer platforms, dev tooling, or infrastructure products
• Hands-on exposure to AI/ML-powered products or platforms
• Experience integrating or building AI-driven features
• Experience integrating or building LLM-based systems
• Experience integrating or building Data/compute infrastructure supporting AI workloads
• Strong understanding of how AI is shaping developer platforms and infrastructure
• Ideally has helped bring an AI product or AI capabilities to market
• Excellent written communication (async-first culture: Slack, docs, etc.)
• Strong product mindset with the ability to connect infrastructure decisions to end-user impact
• High standards, low ego, and the ability to influence at all levels
• Ideally, also have worked in the open source space
• Open Source background - building products for the open source community
• Languages: Go, Elixir, Rust
• Infrastructure: Kubernetes
• Products: Developer platform, container orchestration
• Environment: Fully remote, async-first, engineering-led