Sr. Product Engineer -- Data Platform
About the role
Core Responsibilities:
Own complex features from problem definition through delivery, shaping scope, navigating unknowns, and making tradeoffs across the product lifecycle.
Design and build rich, performant user experiences for identity, security, secure content sharing, resource management, and data access workflows across the platform.
Thread together complex multi-step user flows that feel coherent and intuitive, even when the underlying systems are deeply technical.
Build and maintain the frontend and backend services that power these experiences, working across desktop applications, web frontends, APIs, and backend services.
Apply a security-minded approach to frontend and full-stack work — understanding how authentication flows, authorization boundaries, and data classification translate into safe, trustworthy user experiences.
Champion frontend performance — bundle size, render efficiency, perceived speed, responsiveness — as a first-class engineering concern.
Embrace and leverage modern development workflows, including AI-assisted tooling, to accelerate iteration and raise the quality bar across the team.
Contribute to building a data studio experience that surfaces platform data to users in powerful, intuitive ways.
Partner with platform, integrations, and infra teams to ensure identity and security primitives are reflected in clear, usable interfaces.
Participate in design reviews and contribute to technical direction, bringing a strong product and UX sensibility to architectural discussions.
Write high-quality, well-tested code with an eye toward reliability, accessibility, and performance.
Required Qualifications
8+ years of professional software engineering experience, with significant depth in frontend and full-stack product engineering.
Strong proficiency in modern frontend frameworks (React, TypeScript) with deep understanding of frontend performance optimization — rendering, state management, bundle efficiency, and perceived performance.
Comfortable and effective across the full stack — you can build a polished UI and then wire it to the backend service that powers it.
Experience with Go and/or Python for backend services; willingness to work in both.
Fluency with modern developer tooling and AI-assisted workflows — you actively use these tools to move faster and think bigger, not just to autocomplete.
Proven ability to take large, ambiguous chunks of scope and break them into shippable increments — you're comfortable being the person who figures out "what are we actually building" before writing code.
Experience building UIs for complex, security-sensitive domains like identity, access control, permissions, or data classification is a strong plus — you understand how to present security concepts to users without compromising the underlying guarantees.
Experience with desktop application development (Electron or similar) is a plus.
Strong product instinct — you think about the user's mental model, not just the data model.
Excellent communication skills and ability to collaborate cross-functionally with design, product, platform, and infrastructure teams.
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience.
Must be a US citizen or permanent resident living within the United States.