Senior Product Engineer, Kernel AI

• You are a T-shaped product engineer with a spike in backend engineering
• You do not need to be a DevOps expert, but familiarity with AWS and Kubernetes is valuable
• You take initiative, adapt quickly, and communicate clearly
• 6+ years of software or product engineering experience
• Strong experience building and scaling production systems
• Comfort with backend engineering (NodeJS, Postgres, TypeScript)
• Strong understanding of LLM application development patterns (RAG, prompt engineering, consistency testing) - either through production experience or demonstrated personal projects
• If you're new to LLMs but have shipped complex production systems in other domains and are comfortable rapidly learning new technologies, we'd still love to hear from you
• Ability to operate autonomously in a small, high-velocity team
• Excellent communication and collaboration skills
• Some experience with Kubernetes or distributed systems

Desirable

• You will work closely with the product and engineering team to build user-facing features, ship at pace, and support the existing infrastructure as we scale
• The team is small and fast-moving, so you’ll be expected to make decisions and ship code autonomously
• You will help the company grow from $3M to $30M ARR, owning projects end-to-end—from ideation to deployment—while helping shape how we build products and infrastructure at Kernel
• Designing and developing product features that directly impact user workflows
• Collaborating with design, product, and other engineers to deliver exceptional user experiences
• Writing and maintaining clean, reliable, and scalable code across the stack
• Helping ensure performance and reliability for large-scale data operations
• Automating workflows to improve developer velocity and reduce manual work
• Supporting integrations with CRMs and third-party APIs
• Participating in roadmap discussions and contributing technical insights
• We are around 30 people with 7 engineers and 1 Product Manager

• Stage 1: Introductory Call (40 minutes)
• Stage 2: Hiring Manager Call (40 minutes)
• Stage 3: Take-Home Task (≤ 2 hours)
• Stage 4: Technical Interview (90 minutes)
• Final Stage: Founders Interview - a conversation with Anders (CEO) and Marcus (CTO) focused on values alignment and long-term vision
• Following Mutual Fit: Reference checks and offer stage