Join Hire Hangar and work with fast-growing integral companies while building a long-term career.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 ResponsibilitiesLead technical discovery with enterprise customers; translate business objectives (AI readiness, governance, compliance, cost/risk) into scalable solution architecturesDeliver live demos, technical deep dives, and executive-level presentations tailored to diverse stakeholdersDesign and document deployment architectures across on-prem, cloud, and hybrid environments, outlining trade-offs and phased rollout strategiesOwn end-to-end proof-of-value engagements, including installation, configuration, integration, validation, and outcome measurementTroubleshoot deployment and performance issues; validate throughput, accuracy, and measurable business impactDrive transition from POV to production through documentation, knowledge transfer, and expansion planningAct as the technical voice of the customer,



providing structured feedback to Product and Engineering teamsRequired QualificationsExperience in a customer-facing technical role (Solutions Engineer, Solutions Architect, Sales Engineer, Systems Engineer) within Tech, SaaS, or AI environmentsStrong 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 conceptsExperience 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 stakeholdersWorking knowledge of AI concepts and practical familiarity with AI workflows, data preparation, and governance considerationsNon-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 QualificationsExperience 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 workflowsTools & TechnologyCloud: AWS, Azure, GCPEnterprise Infrastructure: On-prem storage systems, file servers, hybrid architecturesSecurity & IAM: Access controls, identity models, governance frameworksAutomation: Python, PowerShell, TerraformCollaboration: Slack, Zoom, Google Workspace, Asana (or similar)
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📌 Senior Solutions Engineer (Ai Data & Unstructured Data Platforms) (Mendoza)
🏢 Hire Hangar
📍 Mendoza