Solutions Engineer

Job Description:

• Partner with Sales Directors to win technically complex enterprise deals
• Own pilots end to end, from technical setup to demonstrating value, and build technical business cases that convert pilots into signed contracts
• Run demos for prospects ranging from technical teams to C-level executives
• Lead technical discovery of customers' AI stacks, data infrastructure, security requirements, and deployment constraints
• Design integration and deployment architectures for customers and prospects, in 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 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
• Report to the Solutions Lead

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 executives, 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
• Fluent Italian and English
• Willing to travel about 20% of the time
• Additional languages, startup or early-stage experience, self-hosted or on-premise enterprise deployment experience, and process-building experience are nice to have

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
• Opportunity to shape the product based on customer needs
• Direct work with large enterprises on AI projects
• Opportunity to demonstrate customer AI ROI and improve it with Nebuly insights