The opportunity
Pendo's engineering teams build the product experiences that help customers understand, improve, and act on product usage data. This team is focused on AI-powered features that turn raw usage signals into automatic, actionable suggestions, reducing the manual work customers need…
What you'll do
AI-powered feature delivery: Build and ship features that use AI to turn product usage data into actionable suggestions for customers. You will work end to end across the experience, with attention to quality, usability, and the unique failure modes of AI-backed products.
Full-stack engineering: Own delivery across the frontend and backend, with a strong lean toward TypeScript, Vue.js, DOM-level work, component architecture, and in-browser data capture. You will reason about backend services and APIs while building polished, reliable customer-facing experiences.
Product discovery: Help validate problems, shape scope, and test direction before and while building. You will join customer calls, test prototypes, and use real feedback to make sure the team is solving meaningful problems.
Success metrics and iteration: Define what success looks like for the features you build and use product usage data to guide iteration. You will not just close tickets; you will measure whether the work is creating the intended customer impact.
AI-enabled development: Use AI coding tools such as Cursor and Claude Code as a core part of your daily workflow. You will apply strong engineering judgment, review rigor, and accountability to AI-generated code just as you would to your own.
AI product quality: Ship AI-backed features with careful attention to latency, hallucination, inconsistent output, and user trust. You will help ensure intelligent experiences are useful, understandable, and reliable for customers.
What they're looking for
- Cross-functional collaboration: Work directly with product, design, and fellow engineers in a small team where ownership and leverage matter. You will help make pragmatic tradeoffs against ambiguous, fast-moving requirements instead of waiting for a fully defined spec.
- Engineering standards: Raise the quality of the team through code review, mentorship, and unblocking teammates. You will communicate clearly, share context, and help others grow while keeping delivery moving.
- Hands-on experience building with LLMs and AI agents, whether through: production work or personal projects. You have built something with these technologies, not just used them as tools.
- Full-stack engineering experience with a frontend lean, including strong: TypeScript skills, comfort working with the DOM, and the ability to reason about backend services.
