Product Development Engineer ; AI-Native; Onsite

Product Development Engineer 2 (AI-Native)

Our purpose is to help a billion people find the right work! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,500 employees. As an HR tech unicorn organization, innovation and creativity are within our DNA. Come help us make every talent moment Phenomenal!

We are looking for a Product Development Engineer 2 (AI-Native) who takes complex ideas and customer needs and turns them into scalable, validated product features and agentic capabilities — owning them from initial design and prototype through production and continuous improvement. Here, everyone wears multiple hats: the same person who designs and builds a feature also ships it, supports the people using it, and leads the resolution of production issues.

You own outcomes end-to-end and help raise the engineering standards of the team.

What You'll Do

• Build innovative products on the Phenom platform — rapidly prototype solutions, validate their value, and harden successful capabilities into scalable products customers can rely on.
• Take complex ideas to production — design, build, validate, and independently own features end-to-end, then continuously improve them after they ship.
• Practice AI-assisted, increasingly agentic engineering — drive PRs with coding agents and custom skills, review AI-generated solutions critically, and ensure each PR updates the observability it depends on.
• Own delivery to customers — manage deployment readiness, production validation, and hypercare while partnering with platform and reliability engineers on deeper technical issues.
• Support customer bootcamps — lead and participate in technical enablement sessions, hands-on workshops, product demonstrations, and troubleshooting activities to help customers successfully adopt Phenom solutions.
• Respect the guardrails — separate analysis from action, require human approval for high-risk changes, and ensure decisions and actions are logged for auditability.
• Contribute to technical design and code reviews — identify risks, recommend scalable approaches, and help maintain strong engineering standards.
• Mentor junior engineers — guide them through design, development, debugging, testing, and production ownership.

What You've Done

• 3–5 years of software development or product engineering experience.
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field required;
  Master's degree preferred.
• Strong engineering fundamentals and critical thinking — AI raises the bar on technical judgment, architecture, and code quality; it does not replace them.
• Comfortable working across the stack and independently building solutions with modern AI coding tools and agents.
• Customer empathy — you can engage directly with customers, understand complex workflows, ask the right questions, and identify the problems that are most valuable to solve.
• End-to-end ownership — you independently finish what you start, support it in production, and continue improving it.
• Technical ownership — you can make sound design decisions, identify dependencies, manage risks, and balance speed with reliability and maintainability.
• Adaptable — eager to adopt new tools, evaluate emerging technologies, and continuously reinvent your engineering workflow as tooling evolves.
• A strong communicator who aligns quickly with engineers, product teams, customers, and cross-functional stakeholders.
• Experience reviewing code, contributing to technical designs, and supporting junior engineers.
• Bonus: experience building AI or agent products, workflow orchestration, distributed systems, observability, or agent workflows using an Agent SDK.

Technical Skills

• Programming proficiency — write clean, scalable, secure, and maintainable production code in at least one modern language, such as Python, Java, JavaScript, Type Script, or Go.
• Computer science foundations — strong understanding of data structures, algorithms, complexity analysis, concurrency concepts, and decomposing complex problems into clean, testable components.
• Software design…