Senior Solutions Engineer

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Job Title: Senior Solutions Engineer

Location: Remote

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 consideration.

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

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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