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Job Title
Senior Solutions Engineer (AI Data & Unstructured Data Platforms)
Location
Remote (Hybrid with customers as needed)
Time Zone
US Time Zones (EST–PST)
Role Overview
We are seeking a customer-facing Senior Solutions Engineer to own the technical customer journey—from discovery and solution design through hands-on proof-of-value (POV) execution and early production success. This role sits at the intersection of enterprise infrastructure (on-prem, cloud, hybrid), unstructured data at scale, AI readiness, and governance/compliance. You will partner closely with Sales and work directly within customer environments to deliver measurable value quickly and drive production adoption.
Key Responsibilities
Lead technical discovery with enterprise customers; translate business objectives (AI readiness, governance, compliance, cost/risk) into scalable solution architectures
Deliver live demos, technical deep dives, and executive-level presentations tailored to diverse stakeholders
Design and document deployment architectures across on-prem, cloud, and hybrid environments, outlining trade-offs and phased rollout strategies
Own end-to-end proof-of-value engagements, including installation, configuration, integration, validation, and outcome measurement
Troubleshoot deployment and performance issues; validate throughput, accuracy, and measurable business impact
Drive transition from POV to production through documentation, knowledge transfer, and expansion planning
Act as the technical voice of the customer, providing structured feedback to Product and Engineering teams
Required Qualifications
Experience in a customer-facing technical role (Solutions Engineer, Solutions Architect, Sales Engineer, Systems Engineer) within Tech, SaaS, or AI environments
Strong experience with enterprise infrastructure across on-prem and cloud/hybrid environments (AWS, Azure, GCP)
Solid foundation in networking and security fundamentals, including routing, firewalls, access controls, and IAM concepts
Experience working with unstructured data environments (file systems, storage platforms, access models, governance considerations)
Ability to communicate complex technical concepts clearly to both technical teams and executive-level stakeholders
Working knowledge of AI concepts and practical familiarity with AI workflows, data preparation, and governance considerations
Non-negotiable: Prior remote work experience and fluency with remote collaboration tools/platforms (Slack, Zoom, Google Workspace, Asana, or similar). Candidates must have ideally worked with US or UK-based companies—applications without this experience will not be considered.
Preferred Qualifications
Experience in regulated or compliance-driven industries (healthcare, financial services, insurance)
Exposure to scripting or automation (Python, PowerShell) and/or Infrastructure as Code (Terraform or similar)
Familiarity with data classification, metadata/content-based analysis, and large-scale scanning or analytics workflows
Tools & Technology
Cloud: AWS, Azure, GCP
Enterprise Infrastructure: On-prem storage systems, file servers, hybrid architectures
Security & IAM: Access controls, identity models, governance frameworks
Automation: Python, PowerShell, Terraform
Collaboration: Slack, Zoom, Google Workspace, Asana (or similar)
Please NOTE
It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.
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