Solutions Engineer, Enterprise AI
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What you'll do
- 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.
What they're looking for
- 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.
- U.S. citizenship required.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Solutions Engineer, Enterprise AI
San Francisco on-site preferred; remote is acceptable · Full-time · Travel required
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.
Make enterprise AI credible
You will help customers understand what Sainapse can do, how it fits their environment, and what evidence they need to move forward. Own presales discovery, solution architecture, demos, and technical validation, then create a clean handoff to delivery.
What you will own
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.
What you bring
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.
What success looks like
Evaluations move faster because the right questions are answered with evidence. Strong-fit opportunities gain technical confidence, poor-fit opportunities are disqualified early, and delivery receives an accurate account of commitments and dependencies.
About Sainapse
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.
Company
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