Product Engineer

About the role

You will own the end-to-end delivery of critical features across our marketplace, AI matching, and Recruiting OS products, turning ambiguous problems into shipped solutions. You will collaborate closely with recruiters, data scientists, and business stakeholders to translate hiring workflows into robust, scalable product engineering outcomes. You will design systems that handle massive scale while maintaining a high bar for reliability and user experience. You will have the freedom to propose technical directions and prioritize tradeoffs based on first-principles reasoning and real user data. Your work will directly influence how companies hire and how thousands of people find their next role in a more efficient marketplace. You will operate as a founder-minded engineer, taking full responsibility for the solutions you ship from discovery through long-term maintenance. You will help define the technical culture of the product engineering team by setting standards for code quality, testing, and operational excellence.

Key facts

What you'll do

Investigate hiring workflows with recruiters and stakeholders to uncover product opportunities and surface latent requirements.

Architect scalable components that power our marketplace matching engine, ensuring performance remains robust as data volume grows.

Translate ambiguous hiring problems into clear product specifications that guide engineering and design decisions.

Build and maintain integrations with partner platforms such as Decagon, Palantir, Rippling, Abridge, and Hightouch to enable seamless data flow.

Analyze recruiting behavior and funnel metrics to identify friction points and drive iterative improvements to the user experience.

Implement agentic workflows that allow AI systems to take meaningful actions within recruiter and hiring contexts.

Own the reliability and observability of critical services, diagnosing issues quickly and implementing resilient fail-safes.

Collaborate with data scientists to prototype and productionize machine learning features that enhance candidate-company matching.

Lead scoping sessions that balance technical debt, business priorities, and user needs to define a realistic delivery roadmap.

Mentor junior engineers by providing clear technical guidance and fostering a culture of thoughtful, data-informed development.

Evaluate new tools and infrastructure to improve our development velocity without compromising stability or security.

Partner with designers to translate wireframes and prototypes into production-grade user interfaces with clean, maintainable code.

Champion best practices for security, privacy, and compliance as they relate to the sensitive data flowing through our hiring systems.

Continuously refactor legacy code to improve maintainability, reduce complexity, and support faster experimentation cycles.

Requirements

You have a strong track record of building and launching products as an individual contributor in a fast-paced environment.

You are comfortable making high-impact decisions with incomplete information and iterating based on feedback.

You possess deep technical skills across both frontend and backend systems, allowing you to navigate the full stack with confidence.

You have experience working with large datasets and distributed systems where performance and reliability are critical.

You are fluent in modern programming languages and frameworks relevant to our stack, with the ability to learn new tools quickly.

You understand marketplace dynamics and can design systems that balance supply and demand at scale.

You have a strong grasp of data structures and algorithms, enabling you to write efficient, scalable code.

You communicate clearly and often, ensuring technical tradeoffs are understood by both technical and non-technical stakeholders.

Nice to have

Experience working with AI agents, tool-calling systems, or building internal developer platforms.

Background in recruiting, HR technology, or marketplace products.

Contributions to open source projects or technical talks at industry events.

Practical notes

This role is based in San Francisco and requires in-office presence.

This role is full-time and eligible for our standard benefits program.

Candidates must be authorized to work in the United States without sponsorship for this position.