Postman
SaaS
Manager,ITEnterpriseEngineering
“Manager, IT Enterprise Engineering at Postman. Skills: IAM, SaaS platform engineering, infrastructure automation, AI/agent layer, technical leadership, architecture decisions, integration quality, operational reliability, AI-native future positioning. Lead and grow a team of systems and automation engineers focused on IAM (Okta), SaaS lifecycle management, infrastructure automation, and AI-enabled operations. Define and own the technical roadmap for the Enterprise Engineering pillar”
What You'll Achieve.
Ensure identity and access management is airtight and audit-ready; Reduce manual toil through automation; Make the team's work transparent and maintainable
Industry & Context.
Resolve complex infrastructure and integration issues; Address engineering problems rather than ticket queues
What They're Looking For.
Must Have
7+ years in IT engineering or platform engineering, at least two to three years leading a technical team, Deep hands-on experience with Okta (or equivalent IdP), SSO/SAML/SCIM, and lifecycle automation, background in SaaS administration and integration at scale, managed complex multi-tool environments, Experience with MDM platforms (Jamf preferred), endpoint management, and Apple ecosystem at scale, Demonstrated ability to build and maintain automation (scripting, APIs, workflow orchestration), Genuine curiosity and hands-on engagement with AI/LLM technologies, understand the potential and the limitations of AI/LLM technologies, An architectural mindset for how AI agents interact with enterprise systems, including identity, permissions, data access, and auditability, Comfort operating in a fast-paced, high-growth environment where priorities shift and you need to adjust without losing the thread, Clear, direct communication style
Nice to Have
Experience deploying AI agents or LLM-based automation in an IT or enterprise operations context, such as support bots, autonomous workflow agents, or intelligent triage systems, Familiarity with AI agent frameworks, orchestration patterns, and the emerging tooling ecosystem (e.g., function calling, RAG architectures, agent-to-agent communication), Experience with Workday integrations or HRIS-to-IT automation pipelines, Familiarity with zero-trust architectures (ZTNA, SASE) and how identity fits into that model
What You'll Do.
Lead and grow a team of systems and automation engineers focused on IAM (Okta)
SaaS lifecycle management
infrastructure automation
and AI-enabled operations
Define and own the technical roadmap for the Enterprise Engineering pillar
Architect and oversee high-stakes integrations (HRIS
and implementation of AI and AI agent capabilities within IT
and governance foundations that AI agents need to operate safely and effectively within IT systems
Partner closely with Security
and People teams to ensure identity and access management is airtight and audit-ready
automated workflows that reduce manual toil
Serve as a technical escalation point for complex infrastructure and integration issues
Manage vendor relationships and evaluate new tooling
Establish engineering standards
documentation practices
How You'll Work.
Team & Collaboration
Lead and grow a team of systems and automation engineers; Partner closely with Security, DevOps, and People teams; Collaborate with stakeholders to align IT strategy
Communication Scope
Clear, direct communication style; Explain technical decisions to non-technical stakeholders without dumbing things down
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