Senior Solutions Engineer – Enterprise AI ROI (Remote)

OpenKrill

United States

Remote

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Fortune 500 customers
Senior team autonomy

Job summary

Nebuly is seeking a Senior Pre-Sales Solutions Engineer to lead the technical closing of enterprise AI deals. You will own pilots, demonstrate ROI to C-level executives, and design deployment architectures for customer environments across cloud or on-premise setups.

You will work closely with Sales, Product, and Engineering to evolve our platform based on customer needs, travel ~20% to client sites in the US, and shape our offerings with customer feedback.

Qualifications

  • 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; experience with brands like Datadog, Dynatrace, Splunk, New Relic is a strong signal.
  • Extensive hands-on experience with LLMs, Kubernetes and cloud deployments (AWS, Azure, GCP).
  • Excellent communicator, able to pitch to C-level and work with DevOps teams.
  • Team player with ability to manage multiple projects and coordinate with sales and support teams.

Responsibilities

  • Partner with Sales Directors to win technically complex enterprise deals.
  • Own pilots end-to-end from setup to value demonstration and build the technical business case for closure.
  • Run demos for prospects, including C-level presentations and technical audiences.
  • Lead technical discovery: assess AI stack, data infrastructure, security, and deployment constraints.
  • Design integration and deployment architectures (cloud or on-premise).
  • Monitor adoption and drive value realization post-sale, identifying expansion opportunities.

Skills

Solution Architect
Sales Engineer
LLMs
Kubernetes
Cloud deployments

Tools

Kubernetes
AWS
Azure
GCP

Job description

Nebuly is seeking a Senior Pre-Sales Solutions Engineer to lead the technical closing of enterprise AI deals. You will own pilots, demonstrate ROI to C-level executives, and design deployment architectures for customer environments across cloud or on-premise setups.

You will work closely with Sales, Product, and Engineering to evolve our platform based on customer needs, travel ~20% to client sites in the US, and shape our offerings with customer feedback.

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