Solutions Engineer

Posted Yesterday
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London, Greater London, England, GBR
In-Office
65K-120K Annually
Entry level
Artificial Intelligence • Software • Cybersecurity
The Role
Lead technical discovery, demonstrations, proofs of value, integration assessments, troubleshooting, due diligence, and customer handovers for an AI security product. The role partners with sales, security, and engineering teams, translates customer problems into testable requirements, supports API and data investigations, and communicates product capabilities, limitations, and evaluation results to technical and business audiences.
Summary Generated by Built In
About Refractal

Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous.

Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research.

Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission.

The role

You'll help prospective customers understand where Refractal fits in their security environment and show them its value. You'll lead technical discovery and evaluations, answer integration questions and hand customers over smoothly into deployment, working with our sales, security and engineering teams.

What you'll do
  • Lead technical discovery to understand customers' security priorities, existing tools, data availability and deployment constraints.

  • Deliver product demonstrations tailored to the customer's use cases and the questions they need answered.

  • Design and run proofs of value with agreed success criteria, realistic scope and a clear account of the results.

  • Assess integration readiness, help troubleshoot evaluation issues and coordinate with engineers when deeper product work is needed.

  • Support technical due diligence and handovers, documenting requirements, commitments and open questions while bringing customer feedback into product discussions.

Success in your first six months
  • You can independently lead technical discovery and demonstrate Refractal clearly to security and engineering audiences.

  • You've helped customers complete focused evaluations that provide evidence for a buying decision.

  • You've created reusable demonstration materials and handover guidance that improve the customer experience.

About you: essential
  • Experience explaining technical products to customers or working with external stakeholders to solve technical problems.

  • Understanding of security operations and how tools, telemetry and workflows fit together in a customer environment.

  • Practical ability to work with APIs, inspect data and write scripts to support demonstrations, integrations and troubleshooting.

  • Ability to translate a broad customer problem into testable requirements and communicate the outcome clearly.

  • Sound judgement about product capabilities, with the confidence to surface limitations, manage expectations and involve the right colleagues.

Nice to have
  • Experience in solutions engineering, technical consulting or customer-facing security delivery.

  • Familiarity with SIEM platforms such as Splunk and enterprise security evaluations.

  • Experience presenting AI or security technology to both technical and business audiences.

Our values

Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback.

Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on.

Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security.

Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes.

Compensation and benefits
  • Salary: £65,000–£120,000

  • Competitive equity to share in Refractal's growth

  • Pension contribution

  • Private medical and dental cover

  • Visa and relocation support

Skills Required

  • Experience explaining technical products to customers or working with external stakeholders to solve technical problems
  • Understanding of security operations and how tools, telemetry, and workflows fit together in customer environments
  • Practical ability to work with APIs, inspect data, and write scripts for demonstrations, integrations, and troubleshooting
  • Ability to translate broad customer problems into testable requirements and communicate outcomes clearly
  • Sound judgment about product capabilities, including surfacing limitations, managing expectations, and involving appropriate colleagues
  • Experience in solutions engineering, technical consulting, or customer-facing security delivery
  • Familiarity with SIEM platforms such as Splunk and enterprise security evaluations
  • Experience presenting AI or security technology to technical and business audiences
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The Company
9 Employees
Year Founded: 2026

What We Do

Refractal builds security infrastructure for high-assurance AI, helping governments and enterprises test AI agents before deployment, protect them in production, and meet compliance requirements. Its software monitors agent activity and enforces policies at the point of action, evaluating tool calls and data access and recording tamper-evident audit trails. The platform integrates with existing telemetry and observability tools and helps detect AI-enabled threats across models, tools, and workflows.

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