Product Development Engineer 2 (AI-Native) (Onsite 5 days)

Product Development Engineer 2 (AI-Native) (Onsite role)

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, TypeScript, 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 principles — strong understanding of object-oriented and functional concepts, clean-code practices, design patterns, and scalable code and API design.
• APIs and databases — experience designing and integrating REST APIs and JSON-based services, along with working knowledge of SQL, data modeling, and relational or NoSQL databases.
• Testing and debugging — experience writing unit, integration, and API tests and diagnosing complex issues methodically using logs, metrics, traces, stack traces, and code inspection.
• Distributed systems — working knowledge of asynchronous processing, retries, timeouts, idempotency, partial failures, and event-driven or microservice-based architectures.
• Observability — experience implementing or using structured logging, monitoring, metrics, distributed tracing, dashboards, and production alerts.
• AI tooling — hands-on experience with modern AI coding assistants and familiarity with LLMs, prompts, agent workflows, tool calling, evaluations, and guardrails.

How We Work

An AI-native engineering culture

• Big ownership, few meetings — we keep things small and autonomous, trust people to make local decisions, and protect focus time; alignment over ceremony, impact over output.
• AI-native, not AI-on-top — we continuously find where work slows down and apply agents and skills to remove the bottleneck across planning, code generation, review, testing, and support.
• Builders and platform engineers, side by side — deep infrastructure and reliability work keeps the platform stable while builders turn ideas into visible products fast. You’ll focus on building, partnering closely with platform and reliability engineers.
• Copilot before autonomy — agents start by analyzing, recommending, and drafting while engineers execute, and graduate to auto-remediating known-safe failures only after evaluations pass.
• AI is welcome in technical interviews — it’s how we work, so pair-programming and problem-solving with AI is a positive signal. (We’ll talk through behavioral and design topics without it.)

Salary

• ·   Expected salary range $90,000-$115,000

Please note the Salary range is subject to change in the future in accordance with Phenom’s policies

Benefits

We want you to be your best self and to pursue your passions!

• Benefits/programs to support holistic employee health
• Flexible hours and working schedules
• Growing organization with career pathing and development opportunities
• Tons of perks in every location for all Phenoms!

Diversity, Equity, & Inclusion

Our commitment to diversity runs deep! Diversity is essential to building phenomenal teams, products, and customer experiences. Phenom is proud to be an equal opportunity employer taking collective action to build a more inclusive environment where every candidate and employee feels welcomed.

We recognize there is more to be done. Our teams are committed to continuous improvement until these powerful ideas are ingrained in our culture for Phenom and employers everywhere!

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