Senior Solutions Engineer

As a Senior Solutions Engineer, you're the bridge between customer needs and technical execution in enterprise deals. You translate complex requirements into practical, high-impact solutions, ensuring every proof of concept is accurate, scalable and positioned for success. Working closely with Account Executives, Product and Engineering, you'll navigate technical questions, troubleshoot complex challenges and shape solutions that drive value for our clients.

Responsibilities

Partnering with Account Executives in late-stage cycles as the technical expert; Running and delivering high quality POCs in a timely manner; Leading and owning the full implementation cycle from kick-off to go-live; Architecting, building, and deploying bespoke AI agents using Kernel's tooling; Acting as a trusted advisor for your portfolio comprised of multiple clients; Provide feedback to the Product team to ensure constant improvement and iteration

Requirements

3–7 years of experience in a client-facing analytical or technical role, such as Solutions Engineering, Implementations, Technical Account Management or Consulting; Technical fluency (APIs, Javascript etc) and understanding of data systems; A product sensibility to how you work - you ask why before you ask when, and you push back on scope that doesn't serve the customer; Advanced analytical and problem-solving skills, with close attention to detail; Comfortable navigating ambiguity and solving technical challenges creatively; Experience working in fast-paced, startup environments; Ability to manage multiple clients and projects at once; Strong communication skills and the ability to build trusted customer relationships; Flexibility to occasionally work later hours to support US-based customers

Nice to have

Experience working with AI products or use cases; Familiarity with RevOps workflows and systems, including CRMs and related tooling

Benefits

Equity; 24 days holiday per year + bank holidays; £450 monthly office dinner allowance; 2 weeks work-from-anywhere; Generous parental leave policy; Pension plan; Top-spec equipment and central London office; Team events and dinners; Work directly with the founders to scale the systems that power enterprise AI; High-autonomy, high-trust environment with a small team shipping at pace