Build and scale user-facing web features for Desktop and Mobile Web using React/Redux. Own projects end-to-end, collaborate cross-functionally, and mentor teammates. Requires 5+ years of web app experience and a bachelor’s degree or equivalent.
Salary not listed
Hybrid5+ YOEFrontend Engineering
About the role
What you’ll do
Build for Impact: Create and launch powerful, user-facing features for Desktop and Mobile Web that help spark creativity and inspire our global community.
Full Product Ownership: Contribute through every stage—from rapid prototyping and A/B testing to architecting, building, and scaling solutions that reach millions.
Cross-Functional Collaboration: Partner closely across design, product, and backend to deliver seamless, end-to-end functionality.
Drive Innovation: Advocate for Pinners by suggesting new ideas and features, and use your product sense to shape what’s next.
Quality Engineering: Employ automated testing and best practices to deliver reliable, maintainable code—taking full ownership of your work.
Mentor & Connect: Share your expertise through mentoring teammates, leading code reviews, and contributing to technical decision-making.
Leverage AI Thoughtfully: Use AI for rapid prototyping, information synthesis, documentation, and more—always validating results to drive speed, quality, and innovation.
What we’re looking for
Deep understanding of Web development and best practices in React/Redux.
5+ years of industry Web application development experience, building consumer or business facing products.
Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers.
Ability to keep up-to-date with new technologies to understand what should be incorporated.
Strong collaboration and communication skills.
Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.
Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
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