Staff Solutions Engineer (AI)

Location: Remote, Texas, United States

Salary: $220K–$250K annually, plus equity and commission

Company

AI connectivity company building a unified platform to secure, manage, accelerate, govern, and monetize API and AI traffic across models and clouds.

What you will do

• Support field sales and help enterprise customers understand the value of the API and AI connectivity platform.
• Lead discovery, product evaluations, proof-of-concepts, technical validation, stakeholder alignment, and customer satisfaction across assigned accounts.
• Lead API Management and AI Governance evaluations, including API and AI use cases, LLM traffic management, and governance requirements.
• Deliver demonstrations and technical feasibility workshops covering API and AI governance, agentic connectivity, MCP governance, semantic caching, prompt guardrails, and shadow AI detection.
• Own technical strategy for complex, multi-stakeholder enterprise deals from qualification through close; create technical documentation for DevOps, implementations, and services engagements.
• Collaborate with support, product, and engineering teams, mentor junior SEs, contribute to thought leadership, and synthesize customer feedback into product input.

Requirements

• 7+ years of software engineering and/or solutions engineering experience at a SaaS, open source, or enterprise software company.
• Proven experience owning complex enterprise-level deals involving multiple technical and executive stakeholders.
• Experience mentoring or coaching SEs or other technical team members.
• Experience with Docker, Kubernetes, and cloud-native platforms.
• Experience with REST and GraphQL APIs, CI/CD pipelines, and API security patterns including OAuth2, OIDC, and mTLS.
• Hands-on experience with AI-assisted development tools such as Claude Code, GitHub Copilot, OpenAI Codex, or equivalent.
• Working knowledge of AI and LLM architectures, including model routing, rate limiting, semantic caching, and prompt governance.
• Familiarity with Model Context Protocol and agentic AI patterns.
• Solid understanding of cloud computing trends and open source business models.
• Strong listening and communication skills, with the ability to lead discussions with engineers, architects, and executives.
• Enthusiasm for working in a high-profile, fast-paced environment focused on API and AI connectivity.

Culture & Benefits

• Remote work arrangement.
• Health, dental, and vision insurance may be available.
• Paid holidays and paid time off.
• Professional development opportunities and tools.
• Equity and commission opportunities.