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Gradient AI

AI-driven insurance underwriting and claims analytics

Technical Operations Manager

IT Service Desk & End User SupportUpdated on Nov 11
Full-timeBoston, MA, USA

About the Job

Requirements

  • At least 7 years of experience managing applications and IT infrastructure, including at least 2 years managing high-performing teams.
  • Ability to set long-term strategy while establishing short-term goals.
  • Experience implementing effective monitoring and logging of SaaS cloud environments to ensure a secure and compliant infrastructure.
  • At least 3 years of experience with most of the stated technology stack: macOS and Windows 11 administration, Jamf Suite or Intune, Okta identity management, Microsoft 365, Atlassian Suite (Jira and Confluence), Freshservice ticket management, and TCP/IP networking.
  • Ability to communicate effectively across functions and levels, including senior leadership, Engineering, DevOps, and Client Experience teams.
  • Ability to supervise, grow, and mentor team members.

Responsibilities

  • Oversee TechOps, including major IT initiatives and internal and external helpdesks.
  • Partner with DevOps to deploy, maintain, and manage high-availability cloud applications, databases, and IT infrastructure according to best practices and industry standards.
  • Partner with SecOps to continuously mature and implement the overall security posture.
  • Create tools for system health monitoring, SLA compliance, and alerting and notification.
  • Establish and maintain metrics to assess team bandwidth.
  • Evolve processes for incident management, escalation, and reporting.
  • Maintain staff coverage for SLAs and required response times.

About the Company

Gradient AI

AI-driven insurance underwriting and claims analytics

Gradient AI builds AI-powered software for insurers to improve loss ratios and profitability by predicting underwriting and claims risks with greater accuracy. Its platform leverages a data lake containing tens of millions of claim records and outcomes, enriched with third-party data, to identify trends, outliers, and interrelationships across insurance processes such as group health underwriting and general liability claims management. Insurers use the software to guide growth and profitability decisions, integrating insights into their existing workflows. A key differentiator is the scale and insurance-specific focus of its analytics engine, which combines extensive claim history with external data to deliver actionable risk predictions. The company’s goal is to help insurers balance growth with profitability by providing precise risk forecasts and decision support across underwriting and claims operations.

Company size
51-200
Company stage
Series C
Total funding
$86.8M
Headquarters
Boston, MA
Founded
2018

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