We're Karat, the world's largest interviewing company.

Karat is transforming organizations around the world. We provide a powerful system for technical leaders at companies like PayPal, Atlassian, and Citi who want to take control of how they hire top engineers, elevate their teams and contractors, and stay ahead. At the core of Karat’s system are live, expert-led interviews, analytics designed to give leaders maximum visibility, and the most robust interview performance dataset in the world.

Come join our Product team

Our Product team is committed to driving forward Karat’s mission to make interviews predictive, fair, and enjoyable. We are focused on providing deeper value to engineering and talent leaders, hiring managers, recruiters, candidates, and Interview Engineers.

What you will do

As Principal Product Engineer, you will own the product vision, strategy, and hands-on execution for the technical assessment and interview-innovation side of our platform. This is a hybrid role built for someone who thinks like a product leader and codes like an engineer — you ship prototypes, spike on new AI techniques, and translate that firsthand experience into products that evolve alongside how software development is actually changing.

You'll collaborate across engineering, content, design, and go-to-market teams to deliver high-impact solutions that transform how companies evaluate technical talent in an AI-transformed world.

Responsibilities

Product Strategy & Innovation: Define the roadmap for our AI-driven assessment and interview-innovation capabilities; evaluate how emerging AI techniques can strengthen our signal on a candidate's technical capabilities; help shape Karat's point of view in the evolving technical assessment market.
Hands-On Technical Execution: Write code, rapidly prototype new interview formats and assessments, and validate them directly with engineers. Use your direct, daily experience with AI-assisted development tools (Cursor, Copilot, Claude Code, etc.) to prototype new interview formats, stress-test product assumptions, and make faster, more credible decisions alongside engineering.
Product Development & Execution: Prioritize features based on customer needs and business objectives; partner with engineering, content, and UX to ship high-quality, technically credible solutions.
Analytics & Insights: Analyze assessment data to improve accuracy; design experiments to test new interview and assessment approaches; use our database of hundreds of thousands of candidate interviews to sharpen our signal on performance.
Market & Customer Focus: Track performance metrics and identify improvement opportunities; partner with Go-to-Market teams on expansion strategies; build compelling business cases for new AI-enabled offerings.
Cross-Functional Leadership: Work closely with engineers as a peer, not just a stakeholder; evaluate AI susceptibility of current offerings and implement appropriate safeguards; collaborate with content teams on formats for complex technical roles.

The experience you will bring

8+ years of combined product management and software engineering experience, with meaningful, hands-on time in both disciplines
Actively coding — whether on side projects, internal tools, or as part of your current role; you use modern AI-assisted development tools (Cursor, Copilot, vibe coding workflows) and have a genuine, firsthand understanding of how engineers build software today
CS degree or equivalent technical foundation; you can read and write code across common languages and are comfortable navigating a real codebase
Demonstrated experience defining, launching, selling, and scaling successful products with measurable business impact, ideally from the ground up
Comfortable holding your own in technical conversations with senior engineering leaders (CTOs, VPs of Engineering) at large enterprises about evaluating core software development fundamentals
Strong track record of working directly with B2B customers in a SaaS environment — comfortable in customer discovery calls, QBRs, and translating enterprise feedback into product decisions