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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.
Job Responsibility:
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
Partner with Engineering, Trust and Security to integrate AI capabilities responsibly and at scale
Operationalize AI adoption internally and share use cases externally
Continuously raise the bar for code/architectural quality across engineering
Lead the delivery of core agentic workflows that improves productivity across engineering
Balance of hands-on contributions with effective delegation to others
Expect 60% execution and 40% strategy setting
Drive measurable adoption of AI tooling and flows with internal teams
Ability to 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)
Participate in external forums — conferences, podcasts, customer briefings on occasion
Evolve as the technology landscape shifts
Write internal playbooks for building and scaling agentic outcomes
Requirements:
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
Strong communicator who can translate complex technical strategies into impact-oriented outcomes
Demonstrated track record delivering products or features that generated measurable business value
Comfortable defining success criteria, metrics, and ROI for ambiguous, future-facing domains
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
Passion for solving real customer problems with elegant, scalable solutions
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