AI Ops Manager
Listed on 2026-01-26
-
IT/Tech
Data Analyst, Data Science Manager, AI Engineer, Data Security
Location: New York
Location:
NYC No
Ho Office (5 days a week)
We're building something unusual at Automattic : an AI-native culture at a 1,500-person company that powers 40% of the web. Not just adopting AI tools, but fundamentally transforming how we work and ship products at scale.
Why This Role MattersMost companies are still asking “should we allow AI tools?” Automattic is asking “how do we use AI tools exceptionally well at scale while managing risk appropriately?” You’ll build the operational foundation that enables 1,500 people to move faster, work smarter, and compete in an AI-driven world.
Your decisions will have unusual leverage: shaping company-wide policy, creating governance infrastructure, and directly impacting how hundreds of millions of users experience AI in Automattic products.
What You’ll Do- Own change management: design adoption campaigns, identify blockers to AI-native workflows, create enablement resources that move teams from experimentation to integration.
- Own AI governance: triage privacy questions, coordinate tool evaluations with Legal and Security, develop policy frameworks, guide procurement decisions.
- Build operational infrastructure: create processes where none exist, document decisions so teams can move faster, track adoption metrics and ROI.
- Manage cross-functional stakeholders: coordinate across Engineering, Product, Legal, Finance, and HR on AI initiatives and resource allocation.
- Serve as the central point of contact for AI questions across the company; translate ambiguous situations into clear guidance and actionable decisions.
- Report to leadership on AI adoption status, risks, and opportunities; facilitate strategic planning.
- Create dashboards, documentation, and operational playbooks that scale across a distributed organization.
- Have 3–5+ years in technical program management or product operations at tech companies, managing complex initiatives with multiple stakeholders.
- Bring strong operational instincts. You build processes, create frameworks, and make chaos manageable.
- Excel at stakeholder management. Comfortable presenting to executives, facilitating cross-team discussions, influencing without direct authority.
- Navigate legal, privacy, and security considerations around new technology with confidence.
- Are data-driven. You track metrics, analyze trends, and use data to inform strategy.
- Thrive on bringing order to chaos. You’re energized by building systems that scale and being the “go-to person” for complex situations.
- Experience managing AI/ML initiatives or evaluating technical products (you don’t need to code, but should understand technical implications).
- Background in vendor evaluation, procurement processes, or technology governance.
- Track record building operational infrastructure or governance frameworks from scratch.
- Experience working with distributed/remote teams and async communication tools.
- Startup experience wearing multiple operational hats.
- Previous work in management consulting, strategy, or business operations.
- Experience with AI tools in a professional context (understanding the landscape, not necessarily deep technical usage).
- Background supporting engineering or product teams at scale.
At Automattic, we use global salary ranges that do not vary by location. However, because this role is required to be based in our New York City office 5 days a week, we have applied an adjustment to the global band to support additional costs associated with the office-based role requirements.
The salary for this role is $115,000–$190,000 USD.
We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring. #LI-DNI
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