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Manager Ai Governance Jobs in Bothell, WA (NOW HIRING)

PEMCO

Principal AI Platform Engineer

Seattle, WA · On-site

Maintain a knowledge management layer for AI operations including decision logs, model inventories, and governance documentation. * Contribute directly to AI governance and the AI Governance Working ...

Costco Wholesale

Principal Architect - AI

Seattle, WA · On-site

... and manages AI governance frameworks including model lifecycle management (MLOps), model monitoring, data governance, bias mitigation, explainability (XAI), and compliance. • Leads initiatives ...

Compunnel

Service Now AI control tower

Everett, WA · On-site

AI governance and Lifecycle management Risk, compliance and Security management Discovery and observability Building governance frameworks, dashboards and compliance playbooks Building workflows ...

Amazon

SDE, Responsible AI

Seattle, WA · On-site

No one has solved AI governance at this scale before. Today, tracking thousands of AI systems ... manage manually. You'll build the platform that makes it possible - automating what would take an ...

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How much do manager ai governance jobs pay per year?

As of Jul 30, 2026, the average yearly pay for manager ai governance in Bothell, WA is $116,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,400.00 and $130,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager AI Governance, and why are they important?

To thrive as a Manager AI Governance, you need a strong background in data science, AI ethics, regulatory compliance, and risk management, often supported by degrees in computer science, law, or related fields. Familiarity with AI governance frameworks, compliance tools, data privacy regulations, and certifications like CIPP or CISSP is typically required. Exceptional communication, strategic thinking, and stakeholder management skills help navigate complex ethical considerations and align teams. These competencies are crucial to ensure responsible AI deployment, regulatory adherence, and organizational trust in AI initiatives.

What are Manager AI Governance roles?

Manager AI Governance roles involve overseeing the ethical, regulatory, and operational aspects of artificial intelligence systems within an organization. These managers establish policies, ensure compliance with legal requirements, and monitor AI projects to mitigate risks such as bias, privacy violations, or unintended consequences. They collaborate with technical teams, legal experts, and stakeholders to create frameworks that promote responsible AI use. Their work is crucial for building trust in AI technologies and aligning them with organizational values and public expectations.

What are some common challenges faced by a Manager of AI Governance when implementing ethical AI practices across an organization?

A Manager of AI Governance often encounters challenges such as aligning diverse stakeholders on ethical standards, ensuring compliance with evolving regulations, and integrating responsible AI practices into existing business processes. Navigating the balance between innovation and risk mitigation can be complex, particularly in organizations with rapidly scaling AI initiatives. Additionally, fostering cross-functional collaboration between technical teams, legal, compliance, and business units is essential for creating robust governance frameworks that are both practical and effective.
What are the most commonly searched types of Ai Governance jobs in Bothell, WA? The most popular types of Ai Governance jobs in Bothell, WA are:
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Manager Ai Governance jobs near you

Staff Product Manager, AI Governance & Supply Chain Integration Risk

Obsidian Security

Seattle, WA • On-site

Full-time

Re-posted 12 days ago

Job description

Job Summary:
Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. The Staff Product Manager, AI Governance & Supply Chain Integration Risk will lead product strategy and execution to help customers understand and reduce risks across their SaaS and third-party ecosystems.
Responsibilities:
• Own the product strategy and roadmap for Supply Chain Risk & AI Governance, with a clear focus on customer outcomes and business impact.
• Identify the most important customer problems related to SaaS supply chain risk, third-party access, AI enablement, agentic capabilities, data exposure, and governance gaps.
• Define success in terms of outcomes such as risk reduction, prioritization quality, adoption, remediation progress, customer value, and revenue impact.
• Translate customer problems and desired outcomes into clear product requirements, roadmap priorities, and success metrics.
• Partner deeply with Engineering on solution direction, technical tradeoffs, sequencing, data models, integrations, risk scoring, and workflows.
• Work with Design to create experiences that make complex SaaS, identity, AI, agent, data access, and third-party risk relationships understandable and actionable.
• Partner with Product Marketing, Sales, Solutions Engineering, Customer Success, and Support on positioning, launch readiness, field enablement, adoption, and feedback loops.
• Stay close to customer and market signals around SaaS AI adoption, AI governance, agentic workflows, third-party risk, identity risk, and data exposure.
• Drive cross-functional alignment, make tradeoffs visible, and push decisions forward in ambiguous situations.
• Own outcomes beyond launch by measuring whether the work is landing, learning from customer feedback, and adjusting based on results.
Qualifications:
Required:
• 7+ years of Product Management experience, ideally in B2B SaaS, cybersecurity, risk, compliance, data, platform, or enterprise software.
• Strong track record of thinking beyond features to define customer problems, desired outcomes, success metrics, and product strategies that drive measurable impact.
• Experience owning a product area from strategy through execution, launch, adoption, and iteration.
• Strong technical fluency, including comfort working with Engineering on APIs, data models, integrations, identity/access systems, event data, permissions, and enterprise architecture.
• Strong customer and business judgment, with the ability to prioritize high-impact work and make clear tradeoffs.
• Ability to understand emerging customer problems in AI governance, SaaS risk, data access, and agentic workflows.
• Proven ability to lead cross-functional teams without formal authority.
• Excellent written and verbal communication skills.
Company:
Obsidian Security is a threat detection and posture management for business-critical saas applications. Founded in 2017, the company is headquartered in Newport Beach, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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