Solutions Engineer

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

📋 Description

• Collaborate with Sales Directors to secure technically intricate enterprise contracts.

• Manage pilot projects from start to finish, including technical setup, value demonstration, and creating the technical business case that leads to signed agreements.

• Conduct demonstrations for potential clients, catering to both technical teams and C-level executives.

• Lead the technical assessment of the customer's AI infrastructure, data systems, security needs, and deployment limitations.

• Create integration and deployment architectures for both customers and prospects in cloud or on-premise settings.

• Oversee user adoption, proactively identify risks, and engage with customers to enhance usage and value realization.

• Identify and cultivate expansion opportunities in partnership with the Sales team.

• Collaborate closely with Sales to fulfill customer expectations and expand accounts.

• Work alongside Product Management and Engineering to adapt the product based on client requirements.

⛳️ Requirements

• Over 5 years of experience in roles such as Solution Architect, Sales Engineer, Solutions Engineer, or Technical Account Manager within a B2B SaaS context.

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

• Exceptional communication abilities with prospects, clients, large groups, C-level executives, and DevOps teams.

• Strong commercial insight and comprehension of how technical achievements contribute to revenue growth.

• Capability to take ownership of decisions, devise innovative solutions, and address challenging technical issues.

• Solid understanding of LLMs, Kubernetes, and cloud deployment processes.

• Comfortable engaging in discussions about deployment architectures with senior technical stakeholders.

• Willing to travel approximately 20% of the time.

• Proficiency in additional languages is a plus.

• Experience in startup or early-stage environments.

• Familiarity with self-hosted or on-premise enterprise deployments.

• Proven experience in establishing processes from the ground up in a startup or early-stage setting.

🏝️ Benefits

• Opportunity to engage with Fortune 500-scale clients on their most critical AI initiatives.

• Join a small, senior team that values high ownership and autonomy, working closely with the founders.