TL;DR
Director Of Solutions Engineering (AI): Building and leading the pre-sales solutions engineering function, driving adoption of the AI-native platform across complex enterprises with an accent on technical depth, enterprise consultative engagement, and team leadership. Focus on designing strategies that align technical capabilities with customer outcomes and guiding stakeholders through how hirify.global integrates into technology environments.
Location: On-site in San Francisco
Salary: $290K – $330K On-Target Earnings
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.
- Ensure your team delivers compelling demonstrations, prototypes, and solution engineers tailored to customer needs.
- Foster cross-functional collaboration with Product and Engineering to bring customer insights into roadmap priorities.
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.
- Driven by a shared commitment to excellence and velocity.
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