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Posted 1 month ago

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Sr. Product Engineer -- Data Platform

Anywhere - USRemoteFull-time

AI Summary

Senior Product Engineer on the Data Platform team, owning end-to-end delivery of complex, security-sensitive user experiences across web, desktop, and backend services.

About this role

We are seeking a Senior Product Engineer to join our Data Platform team. This role sits at the intersection of product thinking and full-stack engineering — you'll own complex user experiences end-to-end, from shaping the problem through shipping polished, performant interfaces backed by robust services. The ideal candidate is frontend-forward but comfortable across the entire stack, from desktop applications to web frontends to backend services. You think in terms of user outcomes, not just technical implementation, and you're energized — not paralyzed — by ambiguity and unknowns.

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.

  • Skills

    AI-assisted Development ToolsAuthenticationAuthorizationData ClassificationElectronFrontend Performance OptimizationGOPythonReactTypeScript

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