Manager, IT Systems Engineering

Posted Yesterday
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Hiring Remotely in United States
Remote
156K-203K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning • Security • Software • Cybersecurity • Big Data Analytics
Anaconda delivers trusted Python for AI development, bringing faster time-to-value on AI innovation with open source.
The Role
The Manager of IT Systems Engineering will lead IT teams, manage enterprise IT systems, advance identity governance, and drive AI automation across IT operations.
Summary Generated by Built In
About AnacondaBe at the center of AI


Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.


Summary:


We're looking for a Manager, IT Systems Engineering to join our IT team. The IT team at Anaconda keeps a distributed, security-conscious workforce running - and we're building toward something more: an automation-first, AI-enabled enterprise where IT is a strategic enabler, not just a support function. We are a Google Workspace organization, and deep fluency with the Google ecosystem is essential to this role.


This is a hands-on management role. You'll lead a team of IT engineers responsible for identity governance, SaaS operations, endpoint management, and IT General Controls (ITGC) - while staying technically engaged: configuring integrations, building AI-driven workflows, and driving orchestration across the IT stack. You'll translate IT strategy into engineering delivery, partnering closely with Security, Legal, and Anaconda leadership to turn initiative into execution.


What You'll Do
  • Lead day-to-day execution across enterprise IT systems, translating strategic initiatives into actionable roadmaps and measurable deliverables - keeping the team focused on outcomes, not just output.
  • Manage, mentor, and develop a team of IT engineers through structured performance conversations, career development planning, and a culture of ownership and technical excellence.
  • Evolve identity and access governance by maturing existing Okta Workflows, OIG configurations, and lifecycle management policies - increasing automation coverage and driving audit-ready provisioning through API orchestration.
  • Advance the Rippling-to-Okta integration, maturing RBAC controls and role-based provisioning models so HR lifecycle events flow cleanly into identity governance, access management, and IT operations.
  • Design and implement enterprise MDM programs (Kandji, Intune, Hexnode), establishing device lifecycle controls and integrating endpoint governance into broader ITGC frameworks.
  • Drive SaaS governance and systems standardization across Google Workspace and the broader SaaS portfolio, reducing shadow IT risk through lifecycle processes and integration strategy.
  • Build and deploy AI agents and enhanced workflows across provisioning, ticket triage, and automation - directly involved in designing, testing, and iterating on agent-based solutions that make identity, endpoint, SaaS, and AI processes work as a cohesive, auditable platform.
Your Impact will be Measured Through
  • Improvement in automation coverage across identity lifecycle, provisioning workflows, and Rippling-to-Okta integration maturity
  • Audit readiness and SOC 2 control effectiveness across identity and change management domains
  • Team delivery velocity, documentation quality, and project throughput across IT engineering initiatives
  • Measurable progress on AI agent deployment and orchestration maturity, tracked through KPIs and operational dashboards
  • Reduction in shadow IT risk and improvement in SaaS governance coverage across the Google Workspace environment
What You Need
  • 8+ years of experience in enterprise IT engineering, systems administration, or infrastructure roles
  • 3+ years of experience managing technical teams, including performance management and career development
  • Hands-on experience with Okta (including Workflows and OIG), MDM platforms (Kandji, Intune, or Hexnode), and SaaS governance tools
  • Demonstrated experience with Google Workspace administration, including Admin Console, directory services, and identity integration patterns
  • Experience with HRIS integrations (Rippling or equivalent) and automating HR-to-IT lifecycle workflows
  • Experience implementing IT controls in audit-driven environments, including SOC 2 compliance across access, change, and system operations
  • Experience with automation tooling, scripting, and API-based integrations in an enterprise IT context
  • You embody our values: “Curious by Default”, “Build Together”, “Own It”, and “Lead with Guts and Heart”, and our behaviors: Clarity, Care and Candor
  • You care deeply about fostering an environment where people of all backgrounds and experiences can flourish
What Will Make You Stand Out
  • Experience preparing organizations for SOC 2, ISO, or SOX-lite audit readiness, with documented control frameworks and evidence collection processes
  • Hands-on experience building or deploying AI agents, LLM-based workflows, or intelligent automation within IT operations - including familiarity with AI governance and enterprise AI risk controls
  • Experience scaling IT operations in a high-growth SaaS or open-source environment, where governance and automation maturity had to be built alongside the business
Why You'll Like Working Here
  • You'll thrive in a high-performance environment where results are recognized and rewarded
  • Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise.
  • You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor.
  • You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth.

The application deadline for this role is 05/19/2026; applicants will be reviewed on an ongoing basis until the role is filled.


The base salary range for this role is $156,000 - $202,500, along with annual bonus potential, equity participation, and benefits.

Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.


In addition to base salary, we offer a comprehensive benefits package that includes:

  • Flexible Vacation Policy
  • Medical, Dental, and Vision Insurance
  • Short Term and Long Term Disability
  • Paid Parental Leave
  • Monthly Wellness Stipend
  • Employee Assistance Program and Mental Health Resources

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.


Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.


By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated.  For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine.


Anaconda is an EEO/AA employer M/F/V/D.





Top Skills

Api Orchestration
Google Workspace
Hexnode
Intune
Kandji
Okta
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The Company
HQ: Austin, TX
450 Employees
Year Founded: 2012

What We Do

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners.

Why Work With Us

We're shaping the future of AI as the only secure Python platform that makes AI development faster and safer. Our remote-first team thrives on curiosity, open collaboration and accountability, empowering each other to build impactful AI solutions in a culture that leads with both guts and heart. Here, your work equips the AI builders of tomorrow.

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