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Manager Ai Rater Jobs in Seattle, WA (NOW HIRING)

... managed AI products. * Enterprise AI Operations: Cost attribution, rate limiting, audit telemetry, and operational monitoring designed to be operational from day one. HOW YOU'LL SUCCEED: This is not ...

Collaborate with CX leaders to drive performance metrics: resolution rate, CSAT, quality ... Own the CX AI roadmap from opportunity discovery through implementation - prioritize where AI can ...

Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks ... Collaborate with CX leaders to drive performance metrics: resolution rate, CSAT, quality ...

... managed AI products. * Enterprise AI Operations: Cost attribution, rate limiting, audit telemetry, and operational monitoring designed to be operational from day one. HOW YOU'LL SUCCEED: This is not ...

Director, AI & Tooling

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Monitor and manage Help Agent production health, including end-to-end latency, engagement rate ... Represent AI & Tooling in leadership forums and communicate progress, risks, and strategic ...

Director, AI & Tooling

Bellevue, WA · On-site

$164 - $262/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Monitor and manage Help Agent production health, including end-to-end latency, engagement rate ... Represent AI & Tooling in leadership forums and communicate progress, risks, and strategic ...

New

Growth Marketing Manager

Seattle, WA · On-site

$125K - $165K/yr

Manage and scale paid acquisition across channels (Meta, Google, Bing, TikTok, Reddit), with clear ... conversion rates in partnership with Product, Operations, and Engineering teams Why Read AI?

Accounting Manager

Seattle, WA · On-site

$120K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About Overland AI Founded in 2022 and headquartered in Seattle, Washington, Overland AI is ... Support the annual financial audit, indirect rate calculations, and other compliance requirements.

Director, AI & Tooling

Bellevue, WA · On-site

$164 - $262/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Agentforce is the future of AI, and you are the future of Salesforce.About the RoleThe Director of ... manage Help Agent production health, including end-to-end latency, engagement rate, escalation rate ...

Manager, Responsible AI Strategic Programs

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for ... AI. * Experience working with or on Trust and Safety teams. * Experience managing high-performing ...

AI Demand Generation Lead

Seattle, WA · On-site

$150K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Measure performance and continuously optimize across funnel conversion rates, campaign/event ROI ... Ability to manage multiple priorities in a fast-paced environment with a high degree of ownership ...

AI Security Engineer

Seattle, WA · On-site

$88 - $142/hr

Reporting to Technology Manager, the AI Security Engineer will support the security, governance ... and rate limits, output filtering, and secrets isolation.- Participate in recurring red-team ...

New

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Manager Ai Rater information

See Seattle, WA salary details

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How much do manager ai rater jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for manager ai rater in Seattle, WA is $29.99, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $37.21 per hour, depending on experience, location, and employer.
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Principal Platform Engineer, AI

Wizards of the Coast

Renton, WA • On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Wizards of the Coast is a company that creates entertainment to inspire creativity and foster communities. They are seeking a Principal Platform Engineer, AI to design, build, and operate the enterprise AI platform, ensuring internal teams can effectively access and leverage AI capabilities.
Responsibilities:
• Enterprise AI runtime: Model gateway, routing layer, and provider abstraction with identity-aware access, quota controls, and end-to-end traceability.
• Agent and Tool Protocol Standards: MCP and A2A as the connective tissue between agents, tools, and data sources, including authentication/authorization and security patterns for each
• Responsible AI: Identity-aware access controls, prompt management standards, evaluation frameworks, central policy controls, and safety guardrails that adjust without app-side code changes.
• Data and Retrieval Integration: Data platforms (Databricks, Snowflake, etc.) integration, grounding and context patterns that fully exploit modern model capabilities supercharged with a wealth of owned data.
• Enterprise AI Administration: Own configuration, governance, and operational management of enterprise AI systems, ensuring consistent policy, auditability, and cost visibility across managed AI products.
• Enterprise AI Operations: Cost attribution, rate limiting, audit telemetry, and operational monitoring designed to be operational from day one.
• Partner across the organization to drive agreement on interface contracts, especially around MCP and A2A protocols, identity, and data access, so teams can build in parallel rather than waiting on each other.
• Earn adoption from research, engineering, and product teams already engaged with AI, by making your path obviously better, not by mandate. You'll meet teams where they are, respect what they've already shipped, and sequence migrations with emotional intelligence.
• Work with security, legal, and risk partners to translate AI safety from policy into running code that holds up in audit and in production.
• Drive consensus through written design docs, evaluation results, and decision records, not through status meetings or organizational pressure.
• Communicate at every altitude, from an on-call incident to a VP review — without losing precision or changing register.
Qualifications:
Required:
• 10+ years in platform, infrastructure, or systems engineering with direct ownership of production systems used by other engineers.
• Hands-on experience building shared AI platforms, specifically with AWS Bedrock, AgentCore, and/or SageMaker, for multi-team use at scale.
• Deep familiarity with agent and tool protocols including MCP and A2A, including their authentication and security models.
• Working knowledge of enterprise identity and access control (Microsoft Entra ID, Okta) and how IAM patterns apply to AI systems and agent-to-agent communication.
• Experience integration with modern data platforms (Databricks, Snowflake, etc.) and building grounding and retrieval patterns using tool-use and function calling.
• Familiarity with enterprise AI administration platforms such as Claude for Enterprise and ChatGPT Enterprise, including governance, policy configuration, and cost management.
• Pragmatic about AI safety; you treat guardrails as an engineering discipline rather than a compliance checkbox.
• A proven track record of driving cross-team technical adoption through credibility, clarity, and well-built defaults rather than relying on organizational authority.
Preferred:
• Azure and/or Databricks experience is a meaningful plus, especially when in context of supporting analytics and research-heavy organizations.
Company:
Wizards of the Coast develops and publishes game-based and other entertainment products. Founded in 1990, the company is headquartered in Renton, USA, with a team of 501-1000 employees. The company is currently Late Stage.