2 дня назад
Staff Solutions Engineer (AI)
220 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Solutions Engineer (AI) (API management and AI connectivity): Helping enterprise customers architect secure, scalable API and AI ecosystems with an accent on API governance, LLM traffic management, and agentic connectivity. Focus on validating complex enterprise architectures, leading technical feasibility workshops, and designing solutions involving MCP governance, semantic caching, prompt guardrails, and shadow AI detection.
Location: Remote in Texas, United States
Salary: $220K–$260K annually, plus equity and commission
Company
builds an API and AI connectivity platform that helps organizations secure, manage, govern, accelerate, and monetize API and AI traffic across models and clouds.
What you will do
- Support field sales by explaining the value of ’s API and AI connectivity platform.
- Lead discovery conversations, product evaluations, proofs of concept, technical validation, and stakeholder alignment.
- Own technical strategy for complex, multi-stakeholder enterprise deals from qualification through close.
- Lead API management and AI governance evaluations, including LLM traffic management, model routing, semantic caching, prompt guardrails, and shadow AI detection.
- Deliver demonstrations and technical feasibility workshops for API, AI, and agentic architectures, including Model Context Protocol governance.
- Collaborate with support, product, and engineering teams, create technical documentation, mentor junior solutions engineers, and contribute to thought leadership.
Requirements
- 7+ years of software engineering and/or solutions engineering experience in SaaS, open source, or enterprise software.
- Experience owning complex enterprise deals with technical and executive stakeholders.
- Experience mentoring or coaching solutions engineers or technical team members.
- Experience with Docker, Kubernetes, cloud-native platforms, 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 an equivalent is required.
- Knowledge of AI/LLM architectures, MCP, agentic AI patterns, cloud computing trends, and open source business models.
Culture & Benefits
- Remote work in Texas, United States.
- Health, dental, and vision insurance may be available.
- Paid holidays and paid time off.
- Professional development opportunities and tools.
- Equity and commission may be included in compensation.
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