Solutions Engineer
$136,000–$192,000 year
RemoteUnited States
Job Summary
Own the complete technical evaluation process from discovery through signed contract, delivering compelling demos to ML engineers and executive leadership. Build customized proof-of-concepts using Python, TypeScript, APIs, and SDKs to lead technical discovery sessions on customer AI infrastructure and governance requirements. Answer deep technical questions around architecture, compliance, and security while partnering with Account Executives on enterprise deal strategy. Translate customer feedback into actionable product improvements and build reusable demo environments and technical documentation. Champion AI-native workflows by leveraging modern AI tools throughout the sales process to accelerate customer adoption.
Required Qualifications
- 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
- 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 communicating technical concepts to both engineers and executive stakeholders
- 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
- Bachelor's degree in Computer Science, Engineering, Data Science, or another technical discipline
Desired Qualifications
- Experience selling AI, developer infrastructure, data infrastructure, or enterprise software preferred
- Previous software engineering experience before moving into Solutions Engineering strongly preferred
- Experience supporting enterprise AI or data infrastructure products preferred
- Familiarity with cloud platforms including AWS, Azure, or GCP preferred
- Strong understanding of enterprise security, compliance, and technical evaluation processes
- Exceptional candidates with outstanding startup Solutions Engineering experience considered
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.