Iterable

1 month ago

Senior IT Engineer (AI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Design and build integrations between AI platforms and enterprise business systems, while operationalizing AI tools and managing cloud resources. You’ll collaborate with security and infrastructure teams to deploy secure, scalable AI-enabled solutions using APIs, Terraform, and GCP, balancing development with steady-state operations in a fast-growing SaaS environment.

Location: Atlanta, Austin, Boston, Chicago, Denver, London, New York, San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Integration & Automation: Design and build integrations between AI platforms and corporate business systems, including API development and workflow automation.
•AI Operationalization: Evaluate and operationalize AI tools as the company's needs evolve—starting with Gemini Enterprise.
•Cloud Resource Management: Manage the GCP resources that support our AI environment—APIs, billing, project configuration, and access controls.
•Security Partnership: Partner with Enterprise Security to support the "vibe coding" approval process, helping teams build AI-assisted applications securely.
•Infrastructure Support: Support IT infrastructure operations including certificate management, DNS administration, and Terraform-based infrastructure-as-code practices.

Key Requirements

•System Integration: Proven experience building integrations, automations, or tools that connect disparate systems.
•API & Cloud Proficiency: Professional experience working with APIs, scripting, and cloud platforms.
•AI Implementation: Experience as an AI practitioner, moving beyond prompting into building with AI tools.
•Technical Communication: Ability to communicate clearly with both technical and non-technical colleagues.
•Operational Mindset: Demonstrated ability to manage both creative development and steady-state operational tasks.

Experience:AICloudEnterpriseSaaS

Skills:CommunicationCollaborationProblem-solvingTeamwork

Languages:English

Tech Stack:APIsTerraformSalesforceSnowflakeADPGCPDNSCertificate managementCloud

Company Brief

Iterable

Provides a cross-channel growth marketing platform that enables brands to create, optimize, and personalize messaging across email, mobile, SMS, push, and in-app channels using data-driven workflows and automation.

Industry: SaaS

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Iterable

1 month ago

Senior IT Engineer (AI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Atlanta, Austin, Boston, Chicago, Denver, London, New York, San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Integration & Automation: Design and build integrations between AI platforms and corporate business systems, including API development and workflow automation.
•AI Operationalization: Evaluate and operationalize AI tools as the company's needs evolve—starting with Gemini Enterprise.
•Cloud Resource Management: Manage the GCP resources that support our AI environment—APIs, billing, project configuration, and access controls.
•Security Partnership: Partner with Enterprise Security to support the "vibe coding" approval process, helping teams build AI-assisted applications securely.
•Infrastructure Support: Support IT infrastructure operations including certificate management, DNS administration, and Terraform-based infrastructure-as-code practices.

Key Requirements

•System Integration: Proven experience building integrations, automations, or tools that connect disparate systems.
•API & Cloud Proficiency: Professional experience working with APIs, scripting, and cloud platforms.
•AI Implementation: Experience as an AI practitioner, moving beyond prompting into building with AI tools.
•Technical Communication: Ability to communicate clearly with both technical and non-technical colleagues.
•Operational Mindset: Demonstrated ability to manage both creative development and steady-state operational tasks.

Experience:AICloudEnterpriseSaaS

Skills:CommunicationCollaborationProblem-solvingTeamwork

Languages:English

Tech Stack:APIsTerraformSalesforceSnowflakeADPGCPDNSCertificate managementCloud

Company Brief

Iterable

Industry: SaaS

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn