Confluent
Engineering
PrincipalEngineer,EngineeringAIProductivity
Neural analysis suggests this role is
optimal for Principal candidates.
“Principal Engineer, Engineering AI Productivity at Confluent. Skills: AI agentic capabilities, smart, automated decisioning systems, AI/ML platform experience, LLM integration, workflow automation, agentic patterns, distributed systems, strategic productivity initiatives. Define and drive Confluent’s internal agentic AI capabilities, and adoption of smart, automated decisioning systems for R&D productivity. Scale AI usage across our platform to accelerate value for customers and the business”
What You'll Achieve.
accelerate value for customers and the business; AI augments developers; automates routine tasks; orchestrates intelligent workflows that unlock new usage patterns; aligning business metrics, engineering needs, and platform opportunities; improves productivity across engineering; measurable adoption of AI tooling and flows; AI-driven usage lift; automation ROI; reduction in manual workflows; generated measurable business value; tie technical efforts directly to business KPIs (adoption, retention, revenue impact)
Industry & Context.
Identify and resolve bottlenecks across the entire product and software development life cycle
What They're Looking For.
Must Have
8+ years driving strategic productivity initiatives, ideally in SaaS/Cloud platforms or developer tools with some proven experience in AI initiatives, Considered an expert in building distributed systems and/or the infrastructure and tools to support it, Proven ability to lead cross-functional teams and influence senior stakeholders without direct authority, Demonstrated track record delivering products or features that generated measurable business value, 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, Ability to tie technical efforts directly to business KPIs (adoption, retention, revenue impact)
Nice to Have
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
What You'll Do.
Define and drive Confluent’s internal agentic AI capabilities
and adoption of smart
automated decisioning systems for R&D productivity
Scale AI usage across our platform to accelerate value for customers and the business
Operationalize a vision where AI augments developers
automates routine tasks
and orchestrates intelligent workflows that unlock new usage patterns
Define and evangelize the AI and agentic flows strategy
Build a roadmap for introducing agentic automation features
and AI-driven workflows across all aspects of engineering
Identify and resolve bottlenecks across the entire product and software development life cycle
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
Lead the delivery of core agentic workflows that improves productivity across engineering
Drive measurable adoption of AI tooling and flows with internal teams
Adopt industry standards
and quality metrics for AI behavior and automated flows
Define success metrics and KPIs
Write internal playbooks for building and scaling agentic outcomes
How You'll Work.
Team & Collaboration
Partner across Engineering, Security, and IT; Partner with Engineering, Trust and Security; Drive complex cross-team projects requiring multi-stakeholder alignment; Lead cross-functional teams; influence senior stakeholders without direct authority; work across time zones and backgrounds; different perspectives
Communication Scope
communicator who can translate complex technical strategies into impact-oriented outcomes
Process & Methodology
Drive complex cross-team projects
Full Job Description
We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We’re seeking a strategic and hands-on technical leader to define and drive Confluent’s internal agentic AI capabilities, and adoption of smart, automated decisioning systems for R&D productivity. In this role, you will partner across Engineering, Security, and IT to scale AI usage across our platform to accelerate value for customers and the business. You will operationalize a vision where AI augments developers, automates routine tasks, and orchestrates intelligent workflows that unlock new usage patterns. 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 improves productivity across en
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