Solutions Engineer

Location - United States (Remote) - (Open to Europe Candidates Working US Hours)

Compensation - $136,000 – $192,000 Base (OTE: $170,000 – $240,000) + Competitive Equity

Visa - Visa Sponsorship Not Available

Company Stage - Series A ($19.3M Raised)

Industry - Artificial Intelligence, AI Governance, Enterprise AI, Machine Learning Infrastructure, AI Observability, Enterprise SaaS, Developer Tools

About the Company

The company is building the control plane for enterprise AI, helping organizations safely deploy, govern, monitor, and evaluate AI systems in production.

Its platform enables enterprises to manage AI governance, model evaluation, compliance, observability, and risk management across rapidly growing AI deployments. Trusted by Fortune 500 organizations across healthcare, financial services, and telecommunications, the platform helps enterprises confidently ship AI applications while meeting evolving regulatory and security requirements.

Backed by Y Combinator, Liquid 2 Ventures, and leading technology founders from companies including Instacart, Instagram, and Vercel, the company recently raised a $14.5M Series A, bringing total funding to over $19M. With a lean team of approximately 25 people, they're scaling rapidly while building one of the fastest-growing AI infrastructure platforms in the market.

As a Solutions Engineer, you'll own the entire technical sales motion—from discovery through technical demos, proof-of-concepts, security reviews, and customer onboarding—while partnering closely with founders, Sales, Product, and Engineering to help enterprise customers successfully adopt AI governance infrastructure.

This is an exceptional opportunity to join a fast-growing AI-native startup where Solutions Engineers own enterprise technical evaluations end-to-end, influence product direction through customer feedback, and become trusted advisors to some of the world's largest AI adopters.

What You'll Do

• Own the complete technical evaluation process from discovery through signed contract
• Deliver compelling technical demos to audiences ranging from ML engineers to executive leadership
• Build customized proof-of-concepts using Python, TypeScript, APIs, SDKs, and product documentation
• Lead technical discovery sessions to understand customer AI infrastructure and governance requirements
• Answer deep technical questions around AI architecture, compliance, security, and product capabilities
• Partner closely with Account Executives on enterprise deal strategy and customer qualification
• Build reusable demo environments, POC frameworks, technical documentation, and playbooks
• Translate enterprise customer feedback into actionable product improvements
• Help customers evaluate AI governance, observability, and compliance solutions
• Build credibility with engineering, platform, ML, and security teams throughout enterprise evaluations
• Continuously improve technical sales processes while accelerating customer adoption
• Champion AI-native workflows by leveraging modern AI tools throughout the technical sales process

Ideal Candidate Background

Experience Requirements

• 3–8 years of Solutions Engineering, Sales Engineering, or Pre-Sales experience
• Experience owning technical evaluations from discovery through close
• Experience working at early-stage B2B SaaS startups
• Experience supporting enterprise technical sales cycles
• Experience delivering highly technical product demonstrations independently
• Experience building customer-facing proof-of-concepts
• Strong startup ownership mentality with demonstrated customer-facing execution
• Experience partnering closely with Sales, Product, and Engineering teams
• Experience selling AI, developer infrastructure, data infrastructure, or enterprise software preferred
• Previous software engineering experience before moving into Solutions Engineering strongly preferred

Technical Requirements

• Strong technical understanding of Python and/or TypeScript
• Experience building proof-of-concepts using APIs and SDKs
• Familiarity with REST APIs, cloud environments, and modern developer workflows
• Strong understanding of AI/ML infrastructure, LLM architectures, RAG systems, or AI governance
• Experience supporting enterprise AI or data infrastructure products preferred
• Experience communicating technical concepts to both engineers and executive stakeholders
• Familiarity with cloud platforms including AWS, Azure, or GCP preferred
• Strong understanding of enterprise security, compliance, and technical evaluation processes
• Active daily use of AI tools such as Claude, GitHub Copilot, or similar productivity tools
• Ability to quickly learn complex technical products and independently lead customer evaluations

Education

• Bachelor's degree in Computer Science, Engineering, Data Science, or another technical discipline preferred
• Strong technical background with demonstrated customer-facing excellence
• Exceptional candidates with outstanding startup Solutions Engineering experience considered

Soft Skills

• Outstanding communication skills
• Excellent executive presence
• Strong technical storytelling ability
• High ownership mentality
• Comfortable operating with ambiguity
• Strong cross-functional collaboration
• Startup mindset with high execution velocity
• Structured problem solver
• Customer-first mentality
• Passion for AI infrastructure and enterprise software

Compensation & Benefits

• Base Salary: $136,000 – $192,000
• OTE: $170,000 – $240,000
• Competitive Equity Package
• Fully Remote Position
• Opportunity to own technical sales at one of the fastest-growing AI governance companies
• Direct collaboration with founders and executive leadership
• Significant ownership across enterprise technical sales strategy
• High-impact startup culture with exceptional career growth
• Well-funded Series A company with strong investor backing
• Opportunity to shape how Fortune 500 companies deploy AI safely

Why Join

This is an opportunity to help define how enterprises safely deploy and govern artificial intelligence at scale.

You'll work at the intersection of AI infrastructure, enterprise software, technical sales, AI governance, compliance, and developer tooling while helping some of the world's largest organizations successfully adopt next-generation AI systems.

As a Solutions Engineer, you'll own one of the company's most strategic customer-facing functions, work directly with founders, influence product direction, and become a trusted technical advisor driving enterprise AI adoption.