Principal Engineer – Engineering AI Productivity

🕒 May 15

🇺🇸 United States – Remote

💵 $285k - $342k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Confluent

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

💰 Secondary Market on 2021-06

Artificial Intelligence • SaaS • Cloud Computing

Confluent is a company that specializes in data streaming platforms which turn real-time data events into actionable outcomes. Their solutions enable the development of intelligent, real-time applications, empowering teams and systems to respond to data instantly. Confluent builds a new data category that impacts the real world by providing the infrastructure for real-time data streaming, which is recognized and partnered with major tech companies like Google Cloud and Microsoft. The company maintains a remote-first culture, hiring talent from over 25 countries, and values diversity and inclusivity in their workplace.

📋 Description

• 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. • 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. • 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).

🎯 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).

🏖️ Benefits

• Offers Equity