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Remote Ai Governance Jobs (NOW HIRING)

Cyclotron, Inc.

Sr. AI Governance Engineer

Chicago, IL · Remote

$130K - $155K/yr

Remote (US or Canada) Rate: $130,000 to $155,000 USD (rates vary in Canada) Position Overview Cyclotron's AI Engineering team is hiring a Sr. AI Governance Engineer to own how our enterprise clients ...

Cyclotron, Inc.

Sr. AI Governance Engineer

Chicago, IL · On-site +1

$130K - $155K/yr

Remote (US or Canada) Rate: $130,000 to $155,000 USD (rates vary in Canada) Position Overview Cyclotron's AI Engineering team is hiring a Sr. AI Governance Engineer to own how our enterprise clients ...

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Remote Ai Governance information

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$25

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How much do remote ai governance jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote ai governance in the United States is $67.86, according to ZipRecruiter salary data. Most workers in this role earn between $67.31 and $80.53 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote AI governance roles, and how can they be addressed?

Remote AI governance professionals often face challenges such as coordinating with cross-functional teams across different time zones, ensuring clear communication on complex ethical standards, and staying updated on evolving regulations. To address these, it's helpful to establish regular check-ins, use collaborative tools for documentation and decision-making, and participate in ongoing training or industry forums. Proactively building relationships with legal, technical, and business stakeholders also helps in aligning governance policies and ensuring responsible AI deployment.

What are the key skills and qualifications needed to thrive as a remote AI governance professional, and why are they important?

To thrive as a Remote AI Governance professional, you need a solid understanding of AI ethics, regulatory frameworks, risk management, and data privacy, often supported by degrees in law, computer science, or data governance. Familiarity with tools such as AI auditing platforms, compliance management systems, and certifications like CIPP or ISO/IEC 27001 is highly valuable. Strong analytical thinking, effective communication, and the ability to collaborate across technical and non-technical teams set top candidates apart. These competencies are crucial to ensure responsible AI deployment, regulatory compliance, and organizational trust in remote work environments.

What is remote AI governance?

Remote AI Governance refers to the frameworks, policies, and processes used to oversee and ensure the responsible development, deployment, and monitoring of artificial intelligence systems from a remote or distributed setting. Professionals in this field work to guarantee that AI technologies adhere to ethical, legal, and organizational standards, even when teams are not physically co-located. This role often involves risk assessment, compliance monitoring, and the creation of guidelines to ensure transparency, fairness, and accountability in AI systems.

What is the difference between Remote Ai Governance vs Remote AI Ethics Specialist?

AspectRemote Ai GovernanceRemote AI Ethics Specialist
Required CredentialsAI, data science, or policy certifications; knowledge of AI regulationsEthics, philosophy, or law certifications; understanding of AI impact
Work EnvironmentCross-functional teams, policy development, compliance oversightResearch, policy advising, ethical review panels
Employer & Industry UsageTech companies, AI startups, regulatory agenciesResearch institutions, tech firms, consulting firms
Search & Comparison IntentUnderstanding governance roles in AI developmentExploring ethical considerations in AI deployment

Remote Ai Governance focuses on establishing policies, compliance, and oversight for AI systems, ensuring they meet legal and ethical standards. Remote AI Ethics Specialists primarily analyze ethical implications, advise on responsible AI use, and address societal impacts. While both roles involve AI and ethics, governance emphasizes policy enforcement, whereas ethics specialists focus on moral considerations and ethical frameworks.

More about Remote Ai Governance jobs
What cities are hiring for Remote Ai Governance jobs? Cities with the most Remote Ai Governance job openings:
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What states have the most Remote Ai Governance jobs? States with the most job openings for Remote Ai Governance jobs include:
What job categories do people searching Remote Ai Governance jobs look for? The top searched job categories for Remote Ai Governance jobs are:
Remote Ai Governance jobs near you
Infographic showing various Remote Ai Governance job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $141,139 per year, or $67.9 per hour.

Staff Product Manager (Enterprise & AI Governance)

Workato

Palo Alto, CA • On-site, Remote

Full-time

Re-posted 2 days ago

Job description

About Workato

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

  • Business Insider named us an "enterprise startup to bet your career on"

  • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world

  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

  • Quartz ranked us the #1 best company for remote workers

Responsibilities

Drive the future of enterprise automation governance at Workato, the leading Enterprise Orchestration platform. As Staff Product Manager for Enterprise & AI Governance, you'll deliver next-generation governance capabilities that enable Fortune 500 companies to scale AI-powered integrations securely across global operations while meeting the strictest regulatory and enterprise architecture requirements.

  • Enterprise Governance & AI Control
    • Own the roadmap for centralized governance across Workato's enterprise platform, including agentic AI governance, autonomous workflow controls, and intelligent policy enforcement. Design automated compliance frameworks that scale from hundreds to thousands of integrations while maintaining enterprise-grade security.
  • Access Control & Identity Management
    • Define and deliver advanced RBAC systems and least-privilege access controls that work seamlessly across multi-cloud, hybrid environments. Partner with engineering to build policy-as-code capabilities and real-time access governance.
  • Compliance Automation
    • Build compliance automation tools supporting SOC 2, GDPR, HIPAA, SOX, and emerging AI regulations like the EU AI Act. Create self-service governance workflows that reduce manual compliance overhead by 70%.
Success Metrics

  • Accelerate enterprise adoption: Enable 40% faster enterprise-wide Workato deployment through centralized governance and automated compliance workflows.

  • Reduce administrative burden: Decrease governance overhead by 70% through intelligent automation and policy-driven access management.

  • Drive customer success: Enable 80% of enterprise customers to deploy governance frameworks within the first 30 days.

  • Lead AI governance: Pioneer agentic AI governance for integration platforms, supporting autonomous workflows with built-in guardrails.

RequirementsQualifications / Experience / Technical Skills

Essential Experience

  • 7+ years product management experience in enterprise B2B SaaS platforms, with 4+ years in governance, security, or identity management.

  • Deep understanding of enterprise access control models (RBAC, ABAC), identity protocols (SAML, OAuth 2.0, OIDC), and policy management frameworks.

  • Knowledge of enterprise IT governance frameworks (ITIL, COBIT, NIST) and regulatory requirements (SOC 2, GDPR, HIPAA, SOX).

  • Experience with policy-as-code implementation and enterprise integration patterns.

  • SQL proficiency for governance analytics and compliance reporting.

AI & Modern Governance

  • Understanding of AI governance principles including model bias detection, algorithmic transparency, and automated policy enforcement.

  • Knowledge of agentic AI systems and autonomous workflow governance challenges.

  • Familiarity with emerging AI regulations and their impact on enterprise software platforms.

Leadership & Execution

  • Track record of shipping governance features that scaled to thousands of enterprise users.

  • Experience collaborating with security teams, compliance officers, and IT administrators across global organizations.

  • Strong analytical skills with experience defining and tracking governance KPIs and compliance metrics.

(REQ ID: 2248)