Profound
Technical Operations Engineer
About this role
Profound seeks a Technical Operations Engineer to build scalable, automated IT infrastructure supporting their AI marketing platform. You'll own identity management, endpoint security, and operational systems while partnering with engineering teams across multiple global offices to enable rapid growth.
What you'll do
- Manage macOS devices, Google Workspace, MDM, and AWS infrastructure with focus on automation and reliability
- Troubleshoot complex multi-system failures and perform root cause analysis across identity, endpoint, and cloud systems
- Create runbooks, documentation, and self-service solutions that empower engineers and reduce support burden
- Design and implement compliance controls, device provisioning, and access management systems
- Identify recurring issues and build systematic fixes; mentor team members on troubleshooting methodology
- Lead projects addressing operational pain points and streamline onboarding for rapid hiring
What they're looking for
- IT operations and incident management with 2+ years supporting engineering teams
- Identity management and single sign-on (Okta, SAML, OIDC, SCIM)
- macOS and Apple ecosystem expertise with MDM tools like Mosyle
- Google Workspace administration and multi-cloud support (AWS, GCP, Azure)
- Scripting and automation using Python, TypeScript, or Bash
- Network troubleshooting (DNS, VPNs, routing) and infrastructure as code
- Systems thinking with strong communication across technical and non-technical stakeholders
- Root cause analysis, pattern recognition, and independent judgment
Benefits
- Competitive base salary $130,000–$170,000 depending on location and experience
- Equity compensation
- Full range of benefits and perks
- Work across global offices (NYC, SF, London, Buenos Aires)
- Opportunity to shape IT systems as early hire at category-defining AI company
- Autonomous role with meaningful impact on engineering velocity
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Profound
Profound builds an AI-native marketing platform used by Fortune 500 companies that automates lead qualification, scoring, and routing while capturing prospect intent signals. The company is hiring Infrastructure Engineers, Data Engineers, Design Engineers, GTM Engineers, and Talent Engineers to scale its cloud systems, data pipelines, user experiences, and internal recruiting automation.
View all jobs at ProfoundLikely interview questions
- Walk us through a time you diagnosed a complex, multi-system failure involving identity management, cloud infrastructure, or developer tooling. How did you approach root cause analysis?
- Describe your experience with Okta and Google Workspace administration. Have you implemented SAML/OIDC, lifecycle automation, or SCIM integrations, and what challenges did you encounter?