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Anchorage Digital

Engineering Lead, Enterprise Technology

Anchorage Digital, New York, New York, us, 10261

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We’re looking for an Engineering Lead to build and lead our Enterprise Technology function. You’ll own three pillars—IT Support, Systems Engineering, and IT Automation—managing a team while staying deeply technical yourself. You’ll architect our Google Workspace environment, define our SaaS strategy, and build a team that delivers exceptional internal service. You’ll leverage AI to transform how we deliver support and automate workflows, finding high-impact opportunities to scale the team’s effectiveness. You’ll ensure our enterprise systems are audit-ready, our operations are frictionless, and our technology investments deliver measurable ROI.

Responsibilities

Own the strategy and administration of Google Workspace at scale, including security configurations, organizational policies, and optimization

Manage our SaaS application portfolio and IAM practices—driving consolidation, ensuring ROI, and partnering with Security on access governance

Oversee endpoint strategy across ChromeOS, Mac, and mobile (BYOD and company-managed devices), including MDM administration

Define and execute the automation roadmap for enterprise technology, leveraging AI to scale support and reduce manual work

Build, lead, and develop a team spanning IT Support, Systems Engineering, and IT Automation

Own cross-functional initiatives involving People, Security, and business stakeholders, balancing strategic vision with operational needs

Support IT audit and compliance processes by providing evidence, building self-service tooling for evidence gathering, and partnering with Security on documentation requirements

Partner with Security, People, and business teams to architect solutions that bridge organizational needs and technical implementation

Establish team goals, career development frameworks, and performance standards that foster ownership and continuous improvement

Maintain deep operational expertise to inform strategic decisions and occasionally resolve escalated technical issues

Engage stakeholders across technical and non-technical teams to define requirements, understand pain points, and align on priorities

Establish documentation standards and communication frameworks that ensure visibility into team progress and initiatives

Be a visible, hands-on leader who models technical depth and customer focus

Build trust cross-functionally through consistent delivery and clear, honest communication

Qualifications

People management experience leading technical teams, ideally in enterprise technology, IT operations, or systems engineering

Experience managing enterprise environments at a scale similar to Anchorage, particularly distributed or remote-first organizations

Deep expertise with Google Workspace administration (organizational structure, security policies, Drive management, identity)

Experience managing a diverse SaaS portfolio—vendor relationships, license optimization, consolidation initiatives

Strong foundation in IAM principles and experience implementing access governance frameworks

Track record leading cross-functional technical initiatives from definition through delivery

Experience in regulated industries or environments with meaningful compliance requirements

Ownership mentality—you define solutions independently in ambiguous environments and take accountability for outcomes

Nice to have (bonus)

Proficiency in scripting (Python, JavaScript, Apps Script) to build custom automations

Experience with Jira administration, ServiceNow, or similar ITSM platforms

Background with MDM platforms (Kandji, Jamf)

Experience with hardware deployment processes or physical office IT infrastructure

Experience building IT teams from the ground up or through significant growth phases

You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

Location This role is hybrid, requiring 1-2 days per week in our NYC office for collaboration and visibility with the team.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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