Solutions Engineer
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Job Description
Solutions Engineer helping enterprises prove AI ROI with Nebuly’s accountability platform. Owning technical sales, pilots, deployments, adoption, and account expansion.
Responsibilities:
- 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
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