The Opportunity

This is a technical leadership role at the center of Postman's IT infrastructure and its future. You'll own the strategy and execution for IAM, MDM SaaS platform engineering, infrastructure automation, and the emerging AI/agent layer that will reshape how IT operates.

You're the technical pillar lead for Enterprise Engineering, not just a people manager. That means you're accountable for architecture decisions, integration quality, and the operational reliability of every system your team touches. But beyond keeping today's platforms running, you're also responsible for positioning Postman's IT infrastructure for an AI-native future, building the foundations that AI agents and LLM-powered workflows will operate on. You'll inherit a strong group of engineers and be expected to raise the ceiling on what they can deliver, both with traditional tooling and with the next generation of intelligent automation.
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, aligning it with company-wide IT strategy, security requirements, and the evolving AI/agent landscape.
• Architect and oversee high-stakes integrations (HRIS, identity, MDM, SaaS platforms) with an emphasis on reliability, scalability, and API-first design that enables AI agent interoperability.
• Lead the evaluation, design, and implementation of AI and AI agent capabilities within IT, spanning LLM-powered support and triage through to autonomous workflow execution. This isn't a side project; it's a core part of the role.
• Build the data, integration, and governance foundations that AI agents need to operate safely and effectively within IT systems. These foundations must be identity-aware, auditable, and secure by default.
• Partner closely with Security, DevOps, and People teams to ensure identity and access management is airtight and audit-ready.
• Build repeatable, automated workflows that reduce manual toil and let the team focus on engineering problems rather than ticket queues, increasingly leveraging AI to handle what automation scripts can't.
• Serve as a technical escalation point for complex infrastructure and integration issues.
• Manage vendor relationships and evaluate new tooling. You'll have strong opinions on what to build vs. buy, especially as the AI tooling market evolves rapidly.
• Establish engineering standards, documentation practices, and runbooks that make the team's work transparent and maintainable.

About You

• 7+ years in IT engineering or platform engineering, with 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.
• Strong background in SaaS administration and integration at scale. You've managed complex multi-tool environments and understand the challenges that come with them.
• Experience with MDM platforms (Jamf preferred), endpoint management, and Apple ecosystem at scale.
• Demonstrated ability to build and maintain automation (scripting, APIs, workflow orchestration), not just manage people who do.
• Genuine curiosity and hands-on engagement with AI/LLM technologies. You've experimented with or deployed AI-driven automation, not just read about it. You understand the potential and the limitations.
• An architectural mindset for how AI agents interact with enterprise systems, including identity, permissions, data access, and auditability. You think about the plumbing, not just the chatbot.
• 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. You can explain technical decisions to non-technical stakeholders without dumbing things down.

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.
• Background in M&A IT integration, including folding acquired teams and tech stacks into an existing ecosystem.

The reasonably estimated base salary for this role ranges from $250,000 to $290,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
Why This Role Matters

This is the first dedicated management hire for the Enterprise Engineering pillar. You'll shape how this function operates for the next several years. The team is strong, the tools are modern, and the mandate is clear: build infrastructure that scales without scaling headcount linearly, and position IT to lead, not follow, in the AI agent era. You won't just be maintaining what exists; you'll be building the platform that the next generation of IT operations runs on. If that excites you, this is the role.

What Else?

In addition to Postman's pay-on-performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, flexible PTO, wellness reimbursement, and a monthly lunch stipend. Along with that, our wellness programs will help you stay in the best of your physical and mental health. Our frequent and fascinating team-building events will keep you connected, while our donation-matching program can support the causes you care about. We're building a long-term company with an inclusive culture where everyone can be the best version of themselves.

At Postman we value in person collaboration. We are in office 5 days a week for all roles based out of our hubs in San Francisco Bay Area, Boston, Austin, Tokyo and London. For roles based in Bangalore, employees currently work in the office three days a week and will transition to five days per week by the end of the year. We were thoughtful in our approach which is based on collaboration and grounded in feedback from our workforce, leadership team, and peers. The benefits of our in office model will be shared knowledge, brainstorming sessions, communication, and building trust in-person that cannot be replicated via zoom.