Leader, AI Hyperspecialist Solutions Engineer (Central US)

The application window is expected to close on: 07/24/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received .

The AI Hyperspecialist Solutions Engineering leader directs a team of solutions engineers who partner with sales, customers, and product teams to design and implement AI-powered solutions. This role requires deep technical credibility in AI/ML combined with strong people leadership, ensuring the team effectively translates customer needs into technical solutions while driving revenue and customer success.

- Team Leadership: Manage, coach, and develop a team of solutions engineers/architects; conduct 1:1s, performance reviews, and skill development plans

- Pre-Sales Support: Oversee technical discovery, solution design, demos, and proof-of-concepts (POCs) for prospective customers evaluating AI products

- Customer Enablement: Guide the team in helping customers integrate AI/ML APIs, models, or platforms into their existing systems

- Technical Strategy: Develop reusable solution architectures, demo environments, and best practices for common AI use cases (e.g., RAG, agents, fine-tuning, automation)

- Cross-functional Collaboration: Partner closely with Sales, Product, Engineering, and Customer Success to align technical solutions with business goals and feed customer feedback into the product roadmap

- Escalation Management: Serve as an escalation point for complex technical objections or implementation blockers during the sales cycle

- Enablement & Training: Build technical training materials and certifications for the solutions engineering team and broader sales org

- Process & Metrics: Track team performance metrics (POC win rate, time-to-value, deal velocity) and continuously improve pre-sales processes

- Hiring: Recruit and interview candidates with strong technical and communication skills

- Bachelor's degree in Computer Science, Engineering, or related technical field

- 5+ years in solutions engineering, sales engineering, or technical consulting, with 2+ years in a leadership role

- Strong understanding of AI/ML concepts - LLMs, embeddings, RAG, model APIs, prompt engineering

- Experience with cloud platforms (AWS, GCP, Azure) and integration technologies (APIs, SDKs, webhooks)

- Proven ability to communicate technical concepts to both technical and non-technical/executive audiences

- Track record of supporting complex enterprise sales cycles

- Hands-on experience building demos or POCs using LLM APIs (OpenAI, Anthropic, etc.) or ML frameworks

- Background in customer-facing technical roles at a SaaS or AI/ML company

- Familiarity with vector databases, agentic frameworks, or MLOps tooling

- Experience presenting at conferences, webinars, or customer events

- Prior experience in a specific target industry (e.g., enterprise software, fintech, healthcare)

The starting salary range posted for this position is $235,300.00 to $301,700.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.