TL;DR

Director Of Solutions Engineering (AI): Building and leading a growing pre-sales solutions engineering function enabling adoption of the AI-native platform across enterprises with an accent on technical depth, enterprise consultative engagement, and team leadership. Focus on designing strategies that align technical capabilities with customer outcomes.

Location: On-site in New York City

Salary: $290K – $330K On-Target Earnings, Offers Equity, Offers Commission

Company

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

What you will do

  • 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, proof-of-concepts, and technical validation.
  • Partner with Sales leadership to co-develop go-to-market strategies and align technical execution with business goals.
  • Engage directly with a select portfolio of enterprise prospects and customers, guiding them through discovery, solution design, and ROI validation.
  • Foster cross-functional collaboration with Product and Engineering to bring customer insights into roadmap priorities.
  • Serve as an executive-level technical representative in customer meetings, technical 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/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.
  • Excellent communication skills, with the ability to engage executives, business stakeholders, and technical teams with equal credibility.
  • A collaborative, organizational mindset with a track record of building scalable teams and processes.

Nice to have

  • Experience in AI/Generative AI pre-sales engineering or enterprise deployments.
  • Familiarity with enterprise architecture design, developer tooling, SDKs, and integration patterns.
  • Background in software engineering or systems engineering, enabling you to dive deeply into technical discussions.
  • Experience integrating telephony infrastructure or other complex enterprise systems.
  • Knowledge of LLM architecture, prompt engineering, evaluation, and AI-powered solution design.

Culture & Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Flexible “take what you need” vacation policy.
  • Daily lunches, dinners, and snacks provided in-office.