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About the Role

Arctic Wolf is scaling AI across the business, and how those systems are run and operated matters as much as the models themselves. The Staff AI Operations Engineer makes frontier AI tangible and measurable: you'll own the metrics that leaders trust, manage the technical portion of our vendor partnerships our stack depends on, and build the governance that lets us move fast. This role blends business and technical judgment, requiring enough technical depth to reason about how our AI systems are built and run, and enough business sense to connect that to outcomes and to see how metrics, vendor relationships, and governance workflows fit together.

Responsibilities

Trace the end-to-end impact of our AI systems, both standalone and working in combination, connecting model behavior, pipeline performance, and downstream customer and business outcomes into a single, coherent view.
Turn that view into a compelling, evidence-backed narrative, pairing hard metrics with concrete examples, that communicates the value and trajectory of Arctic Wolf's AI to engineers, executives, customers, and partners.
Build the instrumentation and reporting that makes this story repeatable and trustworthy, so impact is something we can show on demand rather than reconstruct after the fact.
Own the metrics and KPI framework for all AI initiatives, defining what success looks like, building dashboards that inform strategy, and ensuring quality signals feed back into continuous improvement.
Translate AI business value into executive reporting, building the narrative that connects operational metrics to financial and strategic outcomes.
Work with partner engineering teams on targeted optimization initiatives across AI projects to improve inference cost, latency, accuracy, and operational efficiency.
Manage the technical side of vendor relationships and partnerships, working with the engineering teams to drive evaluation of new capabilities, monitoring performance and compliance, and keeping our AI stack competitive.
Design and operationalize governance that allows AI to move fast responsibly, with review gates, compliance tracking, documentation standards, and escalation workflows.
Influence technical direction and vendor strategy without formal authority, earning adoption through rigor and credibility.
Mentor engineers and operations teams, establishing a culture of operational excellence and continuous improvement across the AI organization.

Requirements

7+ years in data, AI/ML operations, or technical program management, shipping production systems at scale.
5+ years in a staff or senior-level role, with a demonstrated ability to drive organizational leverage and influence across teams without direct authority.
Proven ability to measure and articulate the end-to-end impact of technical systems, individually and in combination, and translate it into an evidence-backed story for technical and executive audiences.
Expertise in AI metrics and evaluation, including measurement frameworks, model evaluation best practices, and dashboards that inform decisions.
Track record managing vendor and partnership relationships, evaluating SaaS/API-based AI tools and establishing performance accountability.
Operational and governance acumen, including designing workflows, building compliance and audit-readiness processes, and partnering with legal and security on AI risk.
Moderate depth in Python, SQL, and data analysis, comfortable reading code, writing analytical queries, and understanding technical constraints.
Strong systems thinking and pragmatic judgment, plus excellent communication across technical and executive audiences.
Experience with observability tooling (Datadog, Prometheus, CloudWatch) and GRC/governance platforms (ServiceNow, OneTrust, or similar).
Background working with AI systems such as machine learning, generative AI, and agentic workflows.
Cost optimization and multi-cloud deployment experience.
Candidates interviewing remotely are expected to be on camera during all video interviews.
Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information.
Background checks are required for this position.
This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”).

Skills

Python
SQL
Data analysis
Observability tooling
GRC/governance platforms
Machine learning
Generative AI
Agentic workflows
Cost optimization
Multi-cloud deployment

Location

Remote

Work Type

Full-time

Experience Level

Staff
Senior-level

Salary/Compensations

108,000 to 326,000 USD annually

Benefits

Equity for all employees
Flexible time off and paid volunteer days
RRSP and 401k match
Training and career development programs
Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services
Robust Employee Assistance Program (EAP) with mental health services
Fertility support and paid parental leave

About the Company

At Arctic Wolf, you won’t just watch the cybersecurity industry evolve – you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world.
We’re proud to be recognized by Forbes, CNBC, Fortune, CRN, Bartner Peer Insights and IDC MarketScape – but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform.
If you’re looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that’s redefining security operations, Arctic Wolf is the right place for you!
Our mission is simple: End Cyber Risk.
At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2024), Best Places to Work – USA (2021-2024), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024), and Kununu Top Company – Germany (2024).
Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally.
As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry.
Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day.
We believe in diversity and inclusion and truly value the unique qualities and unique perspectives all employees bring to the organization.
And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.
We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance.
We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community.
We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.

Equal Opportunity

Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law.
Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities.
As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible.
Please let us know if you require any accommodations by emailing recruiting@arcticwolf.com.