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Mitratech

Empower. Automate. Elevate

Senior Engineering Manager, AI Quality – Governance

Engineering ManagerEngineering ManagerFull TimeRemoteSeniorTeam 1,001-5,000H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

3 days ago

Salary

$210K - $230K / year

Seniority

Senior

Bachelor Degree8 yrs expEnglish

Job Description

Senior Engineering Manager, AI Quality – Governance

Mitratech

• Own the AI evaluations and observability platform — tracing, logs, dashboards, quality signals, and operational feedback loops for prompts, model calls, tool use, and user outcomes. • Design and operationalize automated and human-in-the-loop evaluation strategies, integrating regression checks for quality, safety, latency, and cost into engineering and release processes. • Establish the standards that define production-ready AI across the organization — evaluation criteria, release gates, incident playbooks, and long-term quality metrics. • Build and operate AI guardrails and policy enforcement capabilities: content controls, PII detection and redaction, audit logging, and request- or workflow-level policy checks. • Translate emerging governance and risk expectations into working engineering systems and platform controls rather than static documentation. • Own platform-level SLOs and tier-two incident support for AI behavior issues, partnering with product teams who remain first-line owners for features they ship. • Act as an internal authority on AI quality and governance and participate in customer-facing conversations where product quality, safety, observability, or governance posture must be explained credibly. • Hire, mentor, and grow the team over time — the combined function may later evolve into separate Quality/Observability and Governance/Policy teams.

Job Requirements

  • 8+ years of software engineering experience including meaningful experience leading engineers as a manager or technical lead.
  • Strong experience designing and operating production backend systems and APIs.
  • Demonstrated hands-on experience building, shipping, or operating production AI systems — ideally including LLM-powered or agentic workflows.
  • Experience with AI observability, evaluation, or debugging systems — whether through platforms such as LangSmith or LangFuse, or through internally built equivalents.
  • Practical experience designing or operating AI guardrails: content filtering, redaction, access controls, or other controls around model or agent behavior.
  • Familiarity with AI governance and risk frameworks such as NIST AI RMF or ISO/IEC 42001, and the ability to engage thoughtfully with legal, compliance, and security stakeholders.
  • A strong bias toward hands-on execution, platform thinking, and creating paved roads for other teams.

Benefits

  • Health, Dental & Vision Insurance *
  • 401 (k) + Employer Match *
  • Unlimited PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off
  • STD, LTD & Group Life Insurance
  • Paid Parental Leave
  • Pet Insurance
  • FSA & HSA Options
  • Employee Assistance Program
  • Remote Work
  • Career Advancement & Professional Development Opportunities
  • Employee Recognition
  • LinkedIn Learning Platform

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