Sainapse reads the tickets, documents, and account signals your teams already work, then completes the work inside Salesforce, ServiceNow, SAP, or Freshdesk. Backed by Accel.
About the role
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. 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 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
More about this role
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.
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.
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.
Experience in solutions engineering, technical consulting,...
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