Senior Solutions Engineer
At a glance
Senior Solutions & Sales Engineering role at Hire Hangar. Santiago · contract.
Pay not stated
Growth Roles summary, based on the employer's posting.
What you'll do
- Lead customer discovery and turn AI readiness, governance, compliance, cost, and risk goals into solution designs
- Run demos, technical walkthroughs, and presentations for both technical audiences and senior decision-makers
- Design deployment plans spanning on-premises, cloud, and hybrid infrastructure, including trade-offs and rollout phases
- Own proofs of value from installation and integration through testing, measurement, and production handoff
- Resolve deployment or performance problems and relay customer feedback to Product and Engineering
What you bring
- Customer-facing experience as a Solutions Engineer, Solutions Architect, Sales Engineer, or Systems Engineer in Tech, SaaS, or AI
- Strong enterprise infrastructure experience across on-premises, AWS, Azure, and GCP environments
- Working knowledge of networking, security, routing, firewalls, access controls, IAM, and unstructured data systems
- Clear communication with technical teams and executive stakeholders, plus practical understanding of AI workflows and governance
- Prior remote work and experience with US- or UK-based companies, along with fluency in remote collaboration platforms
Who this fits
This role suits a senior, customer-facing technical professional who can work across enterprise infrastructure, unstructured data, AI readiness, and governance. It is remote but aligned to US time zones from EST through PST, and the engagement is contractor-based. You must complete the application fully and record a video as the first interview step.
From the employer
Join Hire Hangar and work with fast-growing global companies while building a long-term career.
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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