Hire Hangar
Clients
SeniorSolutionsEngineer(AIData&UnstructuredDataPlatforms)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Solutions Engineer (AI Data & Unstructured Data Platforms) at Hire Hangar. Skills: AI Data Platforms, Unstructured Data Platforms, Enterprise Infrastructure, Cloud/Hybrid Environments, AI Readiness, Governance, Compliance. Own the technical customer journey—from discovery and solution design through hands-on proof-of-value (POV) execution and early production success. Partner closely with Sales and work directly within customer environments to deliver measurable value quickly and drive pr”
What You'll Achieve.
Deliver measurable value quickly; Drive production adoption; Outcome measurement; Validate throughput, accuracy, and measurable business impact
Industry & Context.
Troubleshoot deployment and performance
Work with US Time Zones (EST–PST), Hybrid with customers as needed, Must complete the application form in full, Required to record a video as part of the application process
What They're Looking For.
Must Have
Customer-facing technical role (Solutions Engineer, Solutions Architect, Sales Engineer, Systems Engineer) within Tech, SaaS, or AI environments, Enterprise infrastructure across on-prem and cloud/hybrid environments (AWS, Azure, GCP), Networking and security fundamentals, including routing, firewalls, access controls, and IAM concepts, 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, Prior remote work experience and fluency with remote collaboration tools/platforms (Slack, Zoom, Google Workspace, Asana, or similar), Ideally worked with US or UK-based companies
Nice to Have
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
What You'll Do.
Own the technical customer journey—from discovery and solution design through hands-on proof-of-value (POV) execution and early production success
Partner closely with Sales and work directly within customer environments to deliver measurable value quickly and drive production adoption
Lead technical discovery with enterprise translate business objectives (AI readiness
cost/risk) into scalable solution architectures
and executive-level presentations tailored to diverse stakeholders
Design and document deployment architectures across on-prem
and hybrid environments
outlining trade-offs and phased rollout strategies
Own end-to-end proof-of-value engagements
including installation
and outcome measurement
Troubleshoot deployment and performance validate throughput
and measurable business impact
Drive transition from POV to production through documentation
and expansion planning
Act as the technical voice of the customer
providing structured feedback to Product and Engineering teams
How You'll Work.
Team & Collaboration
Partner closely with Sales; Provide structured feedback to Product and Engineering teams; Work directly within customer environments; Knowledge transfer
Communication Scope
Ability to communicate complex technical concepts clearly to both technical teams and executive-level stakeholders; Deliver live demos, technical deep dives, and executive-level presentations
Process & Methodology
Own end-to-end proof-of-value engagements, Expansion planning
Full Job Description
Join Hire Hangar and work with fast-growing global companies while building a long-term, remote 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 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, Azu
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