обновлено 5 дней назад
Director of Solutions Engineering (AI)
320 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director of Solutions Engineering (AI): Building and leading a pre-sales solutions engineering function for an enterprise conversational AI platform with an accent on technical validation, enterprise integrations, and customer outcomes. Focus on hiring and developing solutions engineers, designing scalable proof-of-concept processes, and guiding complex enterprise customers through AI deployment and ROI validation.
Location: New York City, United States; on-site
Compensation: $320,000–$400,000 annually, plus commission and equity
Company
Decagon provides a conversational AI platform that helps enterprises deliver personalized customer experiences across voice, chat, email, SMS, and other channels.
What you will do
- Build, lead, hire, mentor, and develop a high-performing Solutions Engineering team.
- Establish scalable best practices for pre-sales solutioning, proof-of-concepts, technical validation, demonstrations, and prototypes.
- Partner with Sales leadership to develop go-to-market strategies and align technical execution with business goals.
- Guide enterprise prospects and customers through discovery, solution design, integration planning, and ROI validation.
- Collaborate with Product and Engineering to translate customer insights into roadmap priorities.
- Represent Decagon as a senior technical leader in executive customer meetings, workshops, and industry events.
Requirements
- 7+ years of experience in pre-sales technical roles such as Solutions Architect, Sales Engineer, or equivalent.
- 3+ years of experience managing or leading pre-sales or Solutions Engineering teams.
- Experience working with large enterprise customers and complex buying cycles.
- Strong technical proficiency with enterprise AI deployments, API integrations, and production system architectures.
- Excellent communication, executive presence, and consultative skills across technical and business audiences.
- Experience building scalable teams and processes in fast-moving, high-growth environments.
Nice to have
- Experience with AI or generative AI pre-sales engineering and enterprise deployments.
- Familiarity with enterprise architecture, developer tooling, SDKs, and integration patterns.
- Software engineering or systems engineering background.
- Experience integrating telephony infrastructure or other complex enterprise systems.
- Knowledge of LLM architecture, prompt engineering, evaluation, and AI-powered solution design.
Culture & Benefits
- In-office environment focused on excellence and velocity.
- Medical, dental, vision, life insurance, and disability benefits for employees and families.
- Retirement plan, parental leave, and fertility and family-building support.
- Monthly wellness and lifestyle stipend, daily office lunches and snacks, and a flexible vacation policy.
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