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Principal Engineer, Engineering AI Productivity

Lead internal agentic AI initiatives to boost R&D productivity. Define strategy, build roadmaps, and deliver LLM-powered automation and workflows for engineering teams.

285k – 342kUnited StatesEngineering ManagementRemote8+ YOE

About the role

What You Will Do

Strategy & Vision

  • Define and evangelize the AI and agentic flows strategy — aligning business metrics, engineering needs, and platform opportunities.
  • Build a roadmap for introducing agentic automation features, smart assistants, and AI-driven workflows across all aspects of engineering.
  • Identify and resolve bottlenecks across the entire product and software development life cycle.

Cross-Functional Leadership

  • Partner with Engineering, Trust and Security to integrate AI capabilities responsibly and at scale.
  • Operationalize AI adoption internally and share use cases externally.
  • Drive complex cross-team projects requiring multi-stakeholder alignment.
  • Continuously raise the bar for code/architectural quality across engineering.

Execution & Delivery

  • Lead the delivery of core agentic workflows that improve productivity across engineering.
  • Balance hands-on contributions with effective delegation (60% execution, 40% strategy setting).
  • Drive measurable adoption of AI tooling and flows with internal teams.

Governance & Best Practices

  • Adopt industry standards, ethical frameworks, guardrails, and quality metrics for AI behavior and automated flows.
  • Define success metrics and KPIs (e.g., AI-driven usage lift, automation ROI, reduction in manual workflows).

Thought Leadership

  • Participate in external forums — conferences, podcasts, customer briefings.
  • Evolve as the technology landscape shifts.
  • Write internal playbooks for building and scaling agentic outcomes.

What You Will Bring

Technical and Product Acumen

  • 8+ years driving strategic productivity initiatives, ideally in SaaS/Cloud platforms or developer tools with proven experience in AI initiatives.
  • Expert in building distributed systems and/or the infrastructure and tools to support it.

Leadership & Collaboration

  • Proven ability to lead cross-functional teams and influence senior stakeholders without direct authority.
  • Strong communicator who can translate complex technical strategies into impact-oriented outcomes.

Execution Focus

  • Demonstrated track record delivering products or features that generated measurable business value.
  • Comfortable defining success criteria, metrics, and ROI for ambiguous, future-facing domains.

AI/ML & Automation

  • Hands-on experience with AI or adjacent AI/ML platform experience with LLM integration and workflow automation, with demonstrated appetite to build toward agentic patterns.
  • Deep understanding of responsible AI practices and governance.

Customer & Business Mindset

  • Passion for solving real customer problems with elegant, scalable solutions.
  • Ability to tie technical efforts directly to business KPIs (adoption, retention, revenue impact).

What Gives You an Edge

  • Experience working in cloud-native platforms or developer ecosystems.
  • Prior leadership in scaling internal AI platforms or driving AI adoption across large organizations.
  • Background in real-time data, event-driven architecture, or platform engineering.

Skills

Distributed SystemsAgentic AILlm IntegrationWorkflow AutomationAi GovernancePlatform EngineeringCloud-Native PlatformsEvent-Driven ArchitectureReal-Time DataResponsible Ai

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