Solutions Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with Sales Directors to secure technically intricate enterprise deals

• Manage pilot projects from start to finish, including technical setup, showcasing value, and developing technical business cases that transition pilots into finalized contracts

• Conduct demonstrations for potential clients, engaging with audiences that range from technical teams to C-level executives

• Lead the technical exploration of customers' AI ecosystems, data infrastructures, security needs, and deployment limitations

• Create integration and deployment architectures for clients and prospects, whether in cloud or on-premise settings

• Track adoption rates, proactively identify risks, and collaborate with customers to enhance usage and value realization

• Recognize and cultivate expansion opportunities alongside the Sales team

• Work in close partnership with Sales to fulfill customer expectations and expand accounts

• Work with Product Management and Engineering to refine the product according to customer feedback

• Report directly to the Solutions Lead

⛳️ Requirements

• Over 5 years of experience in a Solution Architect, Sales Engineer, Solutions Engineer, or Technical Account Manager position within a B2B SaaS environment

• In-depth knowledge of enterprise observability, monitoring, or analytics infrastructure

• Exceptional communication abilities with prospects, customers, large audiences, C-level executives, and DevOps teams

• Strong commercial acumen and an understanding of how technical success influences revenue

• Capability to take ownership of decisions, devise innovative solutions, and address complex technical challenges

• Comprehensive understanding of LLMs, Kubernetes, and cloud deployments

• Comfortable discussing deployment architectures with senior technical stakeholders

• Proficient in both Italian and English

• Willingness to travel approximately 20% of the time

• Additional languages, experience in startups or early-stage environments, self-hosted or on-premise enterprise deployment experience, and process-building skills are advantageous

🏝️ Benefits

• A role with key Fortune 500 clients on their most critical AI initiatives

• A compact, experienced team with significant ownership and independence, working directly with the founders

• The chance to influence the product based on customer requirements

• Direct collaboration with large enterprises on AI projects

• Opportunity to showcase customer AI ROI and enhance it with insights from Nebuly