Solutions Engineer, Enterprise AI

• Understand customer workflows, data, integrations, security requirements, and operational goals.
• Design customer-specific architectures and build credible demos and lightweight prototypes.
• Define proof-of-concept datasets, scoring, acceptance criteria, scope, and dependencies with Forward Deployment.
• Lead technical evaluations, RFP responses, and security questionnaires with the right internal experts.
• Connect technical capabilities to measurable operational value and clearly distinguish validated capabilities from open questions.
• Turn field learning into reference architectures, reusable demos, and better product decisions., Sainapse builds agent-first software for customer operations, helping teams resolve work across the systems they already use. Our production work spans customer support and document and order workflows, with configurable autonomy and human review. We are also building account intelligence that connects customer signals.

We are a small team with broad ownership. We value first-principles thinking, direct communication, thoughtful use of AI, and evidence of customer impact. You will work closely with the founders and our product, engineering, and delivery teams.

• Experience in solutions engineering, technical consulting, architecture, or customer-facing delivery.
• Enough coding fluency to work with APIs, inspect logs, and build useful prototypes.
• Clear communication with technical teams and business stakeholders.
• Familiarity with enterprise systems such as Salesforce, ServiceNow, Freshworks, Zendesk, SAP, or Oracle.
• Sound judgment about promises, validation, implementation risk, and the practical limits of agentic AI.

Base salary: $120,000-$140,000 USD annually. Equity: 0.05-0.1%. This role does not include commission. U.S. citizenship required. Visa sponsorship is not available., Compensation Range: $120K - $140K