Solutions Engineer

Job not on LinkedIn

🔥 29 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 25%

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 • Own pilots end to end, from technical setup to demonstrating value, and build the technical business case that converts them into signed contracts • Run demos for prospects, from technical teams to C-level audiences • Lead technical discovery of the customer's AI stack, data infrastructure, security requirements, and deployment constraints • Design integration and deployment architecture for customers and prospects across cloud or on-premise environments • Monitor adoption, identify risks early, and work proactively with customers to drive usage and value realization • Identify and develop expansion opportunities in collaboration with the Sales team • Work closely with Sales to meet customer expectations and grow accounts • Collaborate with Product Management and Engineering to evolve the product based on customer needs

🎯 Requirements

• 5+ years of experience in a Solution Architect, Sales Engineer, Solutions Engineer, or Technical Account Manager role in a B2B SaaS environment • Deep familiarity with enterprise observability, monitoring, or analytics infrastructure • Excellent communication skills with prospects, customers, large audiences, C-level stakeholders, and DevOps teams • Strong commercial instinct and understanding of how technical success drives revenue • Ability to own decisions, find creative solutions, and tackle hard technical challenges • Solid knowledge of LLMs, Kubernetes, and cloud deployments • Comfortable discussing deployment architectures with senior technical stakeholders • Willingness to travel about 20% of the time • Additional languages are welcome • Startup or early-stage experience • Experience with self-hosted or on-premise enterprise deployments • Experience building processes from scratch in a startup or early-stage environment

🏖️ Benefits

• A seat at the table with Fortune 500-scale customers on their most strategic AI projects • A small, senior team with high ownership and autonomy, working directly with the founders