Principal Solutions Engineer

Hirehangar
Regional
Remote

Who this role is best for

A natural match if you have extensive pre-sales or customer-facing engineering experience in SaaS, AI, or infrastructure sectors and prior remote work with US/UK companies.

Best fit for

  • Candidates with senior-level pre-sales or customer engineering experience in regulated industries
    — “Experience working with large-scale unstructured data and compliance-sensitive environments
  • Individuals who have led technical workshops and aligned enterprise stakeholders on complex architectures
    — “Lead technical workshops and stakeholder alignment sessions
  • Professionals with hybrid cloud expertise and a track record of measurable ROI delivery
    — “Own the technical lifecycle—from architectural design... to production success and expansion

Things to consider

  • Video application is mandatory, even for roles not explicitly requiring it
    — “If you do not record a video, we will not be able to consider you
  • Remote work must include familiarity with US time zones and global collaboration
    — “Time Zone: US Time Zones (EST–PST)

How to stand out

  • Highlight case studies demonstrating AI readiness assessments and governance implementation
    — “Translate customer AI, compliance, and data governance goals into scalable technical architectures
  • Quantify impact from prior proof-of-value engagements with clear success metrics
    — “Execute and manage proof-of-value engagements with defined success metrics
  • Show experience with metadata analysis and enterprise scanning technologies
    — “Familiarity with metadata analysis, data classification, or enterprise scanning technologies
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · CompanyLevel · Principal

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • translate customer goals into technical architectures
  • execute proof-of-value engagements
  • lead technical workshops
Typical background
extensive experience in enterprise pre-sales

Skills & requirements

Required

Enterprise Pre-salesCustomer-facing EngineeringAI ReadinessData GovernanceCloud Platforms

Preferred

Regulated SectorsAutomationScriptingInfrastructure As Code

About the role

Original posting from Hirehangar via Ashby

Join Hire Hangar and work with fast-growing global companies while building a long-term career.

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.

Source: Hirehangar careers (Ashby)

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