Role: Solutions Engineer

Location: Mountain View, CA (In-Office)

Salary/Compensation: $140k–$200k base + equity

Our client is a frontier AI company building secure infrastructure for voice generation and deepfake detection. They support government agencies, telcos, and Fortune 500 customers with mission-critical AI security solutions.

With unique dual capabilities in AI voice generation and detection, they occupy a defensible market position in an emerging sector where deepfake security is becoming critical.

Position Overview:

The Solutions Engineer will be the technical bridge between engineering and enterprise customers. Reporting to the CTO, this role owns pre-sales technical consultation, post-sales deployment support (cloud & on-prem), troubleshooting, and translation of customer requirements into actionable engineering input. The hire will enable faster deployments, reduce CTO time on routine customer calls, and build scalable documentation and processes.

Key Responsibilities:

• Join customer calls to scope integrations and resolve technical blockers
• Lead post-sales deployments using Docker, Helm, and Kubernetes (cloud & on-prem)
• Troubleshoot networking, infrastructure, and API integration issues (subnets, namespaces, security)
• Translate customer requirements into clear engineering/product feedback
• Create deployment guides, internal knowledge base, and repeatable processes
• Partner with sales, product, and engineering to accelerate adoption

Qualifications:

✅ You likely fit if you:

• Have 5+ years software engineering experience with production code
• Possess strong infrastructure skills: Kubernetes, Docker, cloud architecture
• Understand APIs, networking fundamentals, and production deployments
• Have experience interfacing with customers or external technical stakeholders
• Communicate clearly across technical and non-technical audiences
• Thrive in ambiguous, high-ownership startup environments

❌ This role is not for you if:

• You prefer pure backend engineering without customer contact
• You require heavy structure, process, or predictable role boundaries
• You’re uncomfortable joining customer or sales calls
• You lack hands-on Kubernetes / infrastructure experience
• You cannot work onsite in Mountain View

What they offer:

• $140k–$200k base salary + equity
• Work directly with the CTO and product leadership
• High-impact role deploying mission-critical AI security systems
• Deep technical learning across model serving, inference, and enterprise infrastructure
• Clear path to Senior Solutions Engineer → Customer Engineering Lead
• Opportunity to work with government agencies, telcos, and Fortune 500 customers

Interested?

If you’re reading this thinking “this is exactly me”, please DM me on LinkedIn!🔗