Principal Solutions Engineer
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- Principal
- Employment
- Contract
Open to US only · UTC-8…UTC-5. Set where you work from to check your eligibility.
No BS summary
Principal Solutions Engineer needed to guide enterprise customers in AI readiness and data transformation. Requires extensive pre-sales/customer-facing engineering experience in SaaS, AI, or infrastructure, with deep knowledge of hybrid infrastructure, storage, cloud platforms (AWS, Azure, GCP), security, IAM, and governance. Must have prior remote work experience and fluency with collaboration tools.
Core skills
Required skills
Optional skills
Required languages
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Job Title: Principal Solutions Engineer
Location: Remote
Time Zone: US Time Zones (EST–PST)
Role Overview
We are seeking a Principal Solutions Engineer to guide enterprise customers through AI readiness initiatives and large-scale unstructured data transformations. This role owns the technical lifecycle—from architectural design and proof-of-value delivery to production success and expansion. You will operate within complex enterprise environments, ensuring performance, governance, and measurable ROI.
Key Responsibilities
- Translate customer AI, compliance, and data governance goals into scalable technical architectures
- Design phased deployment strategies across on-prem and cloud ecosystems
- Execute and manage proof-of-value engagements with defined success metrics
- Lead technical workshops and stakeholder alignment sessions
- Optimize system performance, validate throughput, and ensure production readiness
- Develop technical documentation and best practices for enterprise rollout
- Provide structured customer insights to influence product roadmap decisions
Required Qualifications
- Extensive experience in enterprise pre-sales or customer-facing engineering roles within SaaS, AI, or infrastructure sectors
- Deep knowledge of hybrid infrastructure, storage systems, and cloud platforms (AWS, Azure, GCP)
- Strong grounding in security architecture, IAM, and governance frameworks
- Experience working with large-scale unstructured data and compliance-sensitive environments
- Ability to present technical and business value clearly to C-level stakeholders
- Practical understanding of AI data pipelines, readiness assessments, and governance controls
- Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered.
Preferred Qualifications
- Experience in highly regulated sectors (healthcare, financial services, insurance)
- Background in automation, scripting, or Infrastructure as Code
- Familiarity with metadata analysis, data classification, or enterprise scanning technologies
Tools & Technology
- AWS, Azure, GCP
- Enterprise storage and hybrid systems
- Identity and governance frameworks
- Python, PowerShell, Terraform
- Slack, Zoom, Google Workspace, Asana
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.
We connect top talent with vetted employers, competitive pay, and real growth opportunities.
What you'll do
- Translate customer AI, compliance, and data governance goals into scalable technical architectures
- Design phased deployment strategies across on-prem and cloud ecosystems
- Execute and manage proof-of-value engagements with defined success metrics
- Lead technical workshops and stakeholder alignment sessions
- Optimize system performance, validate throughput, and ensure production readiness
- Develop technical documentation and best practices for enterprise rollout
- Provide structured customer insights to influence product roadmap decisions
What they require
- Extensive experience in enterprise pre-sales or customer-facing engineering roles within SaaS, AI, or infrastructure sectors
- Deep knowledge of hybrid infrastructure, storage systems, and cloud platforms (AWS, Azure, GCP)
- Strong grounding in security architecture, IAM, and governance frameworks
- Experience working with large-scale unstructured data and compliance-sensitive environments
- Ability to present technical and business value clearly to C-level stakeholders
- Practical understanding of AI data pipelines, readiness assessments, and governance controls
- Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered.
Benefits
- We connect top talent with vetted employers, competitive pay, and real growth opportunities.
Hire Hangar connects top talent with vetted employers, competitive pay, and growth opportunities.