Vice President of Engineering

Vice President of Engineering

Remote \| Full-time \| Series -backed Developer Infrastructure Startup

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.
(Ideally, also have worked in the open source space)

We’re partnering with a fast-growing, product-driven, Series-backed startup in the dev platform/dev tooling space that really makes deployments easy for engineers.

This is
not a pure people-leadership role.
We’re looking for a
highly technical VP of Engineering
who has
strong software engineering fundamentals
and
deep expertise in
platform engineering, DevOps, Kubernetes, and modern infrastructure systems
—with a clear track record of
leaning into AI and building or supporting AI-powered products.
You’ll lead a globally distributed engineering org (\~40 engineers) while also operating as a
technical authority
on architecture, infrastructure, and the company’s evolution into AI-driven product capabilities.

🧭 About the Role

This is a defining leadership opportunity to shape engineering at a company operating at the intersection of
developer infrastructure, distributed systems, and AI-enabled applications
.

You’ll report to the CEO/Founder and work closely with product and platform leadership to drive execution, scale systems, and evolve the technical vision.

The ideal candidate is:

• A
  builder at heart
  who grew into leadership
• Deeply technical across
  infrastructure + platform + distributed systems
• Actively
  engaged in AI (not just aware of it)
• Comfortable going
  deep in architecture discussions, tradeoffs, and system design

🔧 What You'll Do

• 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

🧠 What We're Looking For

Leadership \& Experience

• 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

Technical Depth (Non-Negotiable)

• Strong background as a
  software engineer earlier in career
  (you’ve built real systems)
• Deep expertise in:
• Platform Engineering
• DevOps / Infrastructure
• Kubernetes \& container orchestration
• Distributed systems architecture
• Experience working in
  developer platforms, dev tooling, or infrastructure products

AI Experience (Critical)

• Hands-on exposure to
  AI/ML-powered products or platforms
• Experience integrating or building:
• AI-driven features
• LLM-based systems
• 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

Additional Strengths

• 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
• Open Source background - building products for the open source community

⚙️ Tech Snapshot

(You won’t code daily, but you ideally have some experience in their tech)

• Languages: Go, Elixir, Rust
• Infrastructure: Kubernetes
• Products: Developer platform, container orchestration
• Environment: Fully remote, async-first, engineering-led