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
hirify.global 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.
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