Meet The Team
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.
Your Impact
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
Minimum Qualifications
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
Preferred Qualifications
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)
Leader, AI Hyperspecialist Solutions Engineer (Central US) in minneapolis at Unknown Company
This position is listed as full time and onsite.