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Decagon is a conversational AI platform enabling enterprises to deploy AI agents for customer support and operations across voice, chat, email, SMS, and other channels. Backed by a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, the company works with industry leaders like Avis Budget Group, Block's Cash App, Chime, and Oura Health.
You will build and lead Decagon's pre-sales solutions engineering function across EMEA, combining technical depth with enterprise consultative engagement and team leadership. As Director, you'll hire, mentor, and develop a high-performing Solutions Engineering team while establishing scalable processes for pre-sales engagements, proof-of-concepts, and technical validation.
Key responsibilities include:
- Hiring, mentoring, and managing Solutions Engineers with technical guidance and career development
- Establishing best practices for pre-sales solutioning and technical validation
- Partnering with Sales leadership on go-to-market strategies aligned with technical execution
- Directly engaging strategic enterprise prospects and customers through discovery, solution design, and ROI validation
- Delivering compelling demonstrations, prototypes, and solution architectures tailored to customer needs
- Fostering cross-functional collaboration with Product and Engineering to inform roadmap priorities
- Serving as executive-level technical representative in customer meetings, workshops, and industry events
- Defining scalable processes and assets to support team efficiency and long-term growth
- Staying current on enterprise AI adoption patterns, integration strategies, and competitive landscape
Required: 7+ years in pre-sales technical roles (Solutions Architect, Sales Engineer); 3+ years managing pre-sales/solutions engineering teams; proven success with large enterprise customers and complex buying cycles; strong technical proficiency with enterprise AI deployments, API integrations, and production architectures; excellent communication with executives, business stakeholders, and technical teams; collaborative mindset with track record building scalable teams; ability to thrive in fast-moving, high-growth environments; strong executive presence and consultative skills.
Preferred: AI/Generative AI pre-sales engineering experience; enterprise architecture design and integration patterns; software or systems engineering background; telephony infrastructure or complex enterprise systems integration; LLM architecture and prompt engineering knowledge; thought leadership through conferences or published content.
About Decagon
AI / Data / Infrastructure; SaaS / Enterprise Software — AI agents for customer support and enterprise operations.
