Solutions Engineer
New
N
NebulyEnterprise AI
London or RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of experience
- Required Skills
- Kubernetes
Requirements
- Have 5+ years of experience in a Solution Architect, Sales Engineer, Solutions Engineer, or Technical Account Manager role in a B2B SaaS environment.
- Bring deep familiarity with enterprise observability, monitoring, or analytics infrastructure.
- Have solid knowledge of LLMs, Kubernetes, and cloud deployments.
- Be comfortable discussing deployment architectures with senior technical stakeholders.
- Be able to communicate with prospects, customers, and large audiences, including both C-level and DevOps audiences.
- Have a strong commercial instinct and understand how technical success drives revenue.
- Be willing to travel about 20% of the time.
- Experience with self-hosted or on-premise enterprise deployments is a plus.
- Startup or early-stage experience is a plus.
Responsibilities
- Partner with Sales Directors to win technically complex enterprise deals.
- Own pilots end to end, from technical setup through demonstrating value and building the technical business case.
- Run demos for prospects, from technical teams to C-level audiences.
- Lead technical discovery of customers' AI stacks, data infrastructure, security requirements, and deployment constraints.
- Design customer and prospect integration and deployment architectures for cloud or on-premise environments.
- Monitor adoption, identify risks early, and drive customer usage and value realization.
- Identify and develop expansion opportunities with the Sales team.
- Work with Product Management and Engineering to evolve the product based on customer needs.
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