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Decagon

Builds AI agents for enterprise customer support

Director of Solutions Engineering

Pre-Sales Solution EngineeringUpdated on Nov 10
Full-timeLondon, UK£200k - £250k /yr

About the Job

Requirements

  • At least 7 years of experience in pre-sales technical roles such as Solutions Architect, Sales Engineer, or equivalent.
  • At least 3 years of experience managing or leading pre-sales or solutions engineering teams.
  • Proven success working with large enterprise customers and navigating complex buying cycles.
  • Strong technical proficiency with enterprise AI deployments, API integrations, and production system architectures.
  • Ability to engage executives, business stakeholders, and technical teams credibly.
  • Track record of building scalable teams and processes.
  • Ability to work effectively in fast-moving, high-growth environments with significant ambiguity.
  • Strong executive presence and consultative skills to establish trust and credibility with senior leaders.

Responsibilities

  • Hire, mentor, and manage a team of Solutions Engineers, providing technical guidance, coaching, and career development.
  • Establish and operationalize best practices for pre-sales solutioning, proofs of concept, and technical validation.
  • Partner with Sales leadership to co-develop go-to-market strategies and align technical execution with business goals.
  • Engage directly with selected strategic enterprise prospects and customers, guiding them through discovery, solution design, and return-on-investment validation.
  • Ensure the team delivers demonstrations, prototypes, and solution architectures tailored to customer needs.
  • Collaborate with Product and Engineering to incorporate customer insights into roadmap priorities.
  • Represent the company as an executive-level technical leader in customer meetings, technical workshops, and industry events.
  • Define scalable processes and assets to support team efficiency, repeatability, and long-term growth.
  • Stay current on enterprise AI adoption patterns, integration strategies, and the competitive landscape.

Desired Qualifications

  • Experience in AI or generative AI pre-sales engineering or enterprise deployments.
  • Familiarity with enterprise architecture design, developer tooling, software development kits, and integration patterns.
  • Background in software engineering or systems engineering to support in-depth technical discussions.
  • Experience integrating telephony infrastructure or other complex enterprise systems.
  • Knowledge of large language model architecture, prompt engineering, evaluation, and AI-powered solution design.
  • Thought leadership experience through conferences, webinars, or published technical content.

About the Company

Decagon

Builds AI agents for enterprise customer support

Decagon builds AI customer support agents for large businesses, handling customer questions and requests over voice, chat, email, and text messages. Its platform connects these conversations to company records and internal tools, so an agent can check an order, change a reservation, or complete a support task. Customer experience teams define how agents should respond and when to pass a case to a person, while testing tools check behavior before changes reach customers. Businesses pay usage fees for the software, with charges tied to conversations or completed resolutions rather than the number of human support staff. Decagon was founded in 2023 and is headquartered in San Francisco.

Company size
501-1,000
Company stage
Series D
Total funding
$481M
Headquarters
San Francisco, CA
Founded
2023

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