Principal Engineer, Engineering AI Productivity

at Confluent in Boise, Idaho, United States

Location:

Remote, United States

Employment Type:

FullTime

Location Type:

Remote

Department

Engineering

Compensation:

$285K $342K Offers Equity

At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click here ( .

Overview

Were not just building better tech. Were rewriting how data moves and what the world can do with it. With Confluent, data doesnt 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:

Were seeking a strategic and hands-on technical leader to define and drive Confluents 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-