Solutions Engineer, Enterprise AI

Job not on LinkedIn

🕒 3 days ago

🏄 California – Remote

🏄 California – Remote

💵 $120k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 1%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sainapse

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

💰 $3.5M Early Stage VC on 2020-12

SaaS • Enterprise • Artificial Intelligence

Sainapse is an intelligence layer for customer operations that reads tickets, orders, and documents, decides what actions to take, and executes work inside a company's existing systems without requiring stack changes. It provides three main workflows—Document Intelligence (extracting and automating work from invoices, purchase orders, contracts, emails), Account Intelligence (monitoring customer health and triggering actions to prevent churn), and Customer Support (automating ticket classification, routing, responses, and resolution). Sainapse emphasizes governance, auditable and reversible actions, data residency (runs in customer's cloud or data center), and integration with CRMs, ERPs, inboxes, helpdesks, documents, and spreadsheets. It targets customer-facing operations in SaaS, technology, pharma & life sciences, and other enterprises, with case studies showing significant automation rates and reduced handle time.

📋 Description

• 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 • Create a clean handoff to delivery • Work closely with the founders and product, engineering, and delivery teams

🎯 Requirements

• U.S. citizenship required • Visa sponsorship is not available • 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 • Willingness to travel

🏖️ Benefits

• Equity: 0.05–0.1%

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