Solutions Engineer

Job not on LinkedIn

🕒 July 28

🇪🇺 Europe – Remote

💵 €80k - €120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 26%

What it means: how likely this posting is sitting open without active hiring.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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Nebuly

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Nebuly is an enterprise analytics platform that analyzes conversations between users (employees and customers) and AI agents to surface adoption patterns, unmet needs, ROI signals, and operational issues. It structures and classifies AI conversation data to show which teams and departments engage with agents, which tasks are completed, where training is needed, and where revenue or churn risks appear. Nebuly emphasizes security and privacy—offering on‑premises/private cloud deployments, PII anonymization, and purpose‑built, efficient models tailored to a customer's taxonomy—so enterprises can run analytics where their data lives. Customers mentioned include large enterprises such as Iveco and Oura.

📋 Description

• Partner with Sales Directors to win technically complex enterprise deals • Lead technical discovery: understand the customer's AI stack, data infrastructure, security requirements, and deployment constraints • Design the integration and deployment architecture for each customer environment (cloud or on-premise) • Run and manage pilots end-to-end - from technical setup to weekly touchpoints to demonstrating value • Build the technical business case that converts a pilot into a signed contract • Own the technical relationship with customers after signature • Monitor adoption, identify risks early, and work proactively with the customer to drive usage and value realization • Identify and develop expansion opportunities in collaboration with the Sales team • Feed customer insights and product gaps back to the engineering and PM teams

🎯 Requirements

• 5+ years of experience in a Solution Engineer, Sales Engineer, Solutions Architect, or Technical Account Manager role in a B2B SaaS environment • Deep familiarity with enterprise observability, monitoring, or analytics infrastructure • Experience with enterprise AI or data infrastructure is a plus • Comfortable designing and discussing cloud and on-premise deployment architectures with senior technical stakeholders • Strong commercial instinct • Excellent communicator: you can translate complex technical concepts for a CIO and dig into infrastructure details with a DevOps team in the same day • Fluent in English. Additional European languages are a strong plus.

🏖️ Benefits

• Compensation: €80-120k OTE + equity. • Compensation is flexible and will be determined based on the candidate's experience and overall fit with the company