Principal Engineer, Engineering AI Productivity

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.