首席工程师，工程人工智能生产力
Principal Engineer, Engineering AI Productivity
我们不只是打造更好的技术。我们正在重新定义数据的流动方式，以及世界能通过数据实现什么。在 Confluent，数据不会停滞。我们的平台让信息动起来，以接近实时的方式流式传输，使公司能够更快响应、更聪明地构建，并提供与周围世界一样动态的体验。
加入这个团队需要一种特定的人。那些会提出难题、给予诚实反馈并互相支持的人。没有自大，没有单打独斗。只有聪明、好奇的人一起朝着更大的目标前进。
一个 Confluent，一个团队，一个数据流平台。
关于职位：
我们正在寻找一位有战略眼光且亲力亲为的技术领导者，负责定义和推动 Confluent 内部代理 AI 能力，以及智能自动化决策系统的采用，以提升研发生产力。在这个职位中，你将与工程、安全和 IT 部门合作，扩大 AI 在我们平台上的使用，以加速客户和业务的价值。
你将实现一个愿景，即 AI 协助开发者，自动化日常任务，并协调智能工作流程，从而解锁新的使用模式。
你将负责：
- 战略与愿景
- 定义并推广 AI 和代理流程战略——与业务指标、工程需求和平台机会保持一致。
- 制定引入代理自动化功能、智能助手和 AI 驱动工作流程的路线图，覆盖工程的所有方面。
- 识别并解决整个产品和软件开发生命周期中的瓶颈。
- 跨职能领导力
- 与工程、信任与安全团队合作，负责任地且大规模地集成 AI 能力。
- 在内部实现 AI 采用，并对外分享用例。
- 推动需要多利益相关方协调的复杂跨团队项目。
- 持续提高工程领域的代码/架构质量标准。
- 执行与交付
- 领导核心代理工作流程的交付，以提升工程各方面的生产力。
- 平衡亲力亲为的贡献与对他人有效委派。预计 60% 的时间用于执行，40% 用于制定战略。
- 推动内部团队对 AI 工具和流程的可衡量采用。
- 治理与最佳实践
- 能够采用行业标准、伦理框架、防护措施和 AI 行为及自动化流程的质量指标。
- 定义
查看英文原文
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 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
- Governance & Best Practices
- 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).
- Thought Leadership
- 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.
WHAT YOU WILL BRING:
- Technical and Product Acumen
- 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.
- 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.
If you’re someone looking to bring agentic system design to production scale, let’s talk.
READY TO BUILD WHAT'S NEXT? LET’S GET IN MOTION.
COME AS YOU ARE
Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.
We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
PRIVACY STATEMENT
Confluent is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. By proceeding with this application, you understand that Confluent will share your personal information with other IBM affiliates involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here http://ibm.com/careers/us-en/privacy-policy/.