Software Engineer, Data Product Platform

About the role

Millions of people use Notion — and this number is increasing every day. That means millions of people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion.

Responsibilities

• Own and play a pivotal role in the development of systems, tools and infrastructure that enable data and data systems powered product use-cases.
• Work cross-functionally with engineers and partners from the Product, Data Science, Data Engineering and AI teams to deliver short- and long-term impact.
• Work on all levels of the stack including infrastructure, libraries and product code as needed to successfully build and deliver internal platforms that provide high leverage to multiple product teams.
• Be responsible for monitoring and operating systems in production. Understand systems deeply, optimize performance and evolve critical production systems with minimal user disruption.

Requirements

• Curiosity in working across the stack: Enjoy understanding systems end-to-end—from product surfaces to infrastructure and data flows—and improving them with a hands-on, learn-by-doing mindset.
• Data-driven approach to building & improving systems: Use metrics, traces, logs, and experiments to diagnose issues, validate hypotheses, and prioritize the fixes that deliver the most impact.
• A knack for ergonomic developer & agentic tooling: Build interfaces that are intuitive and hard to misuse—thoughtful APIs, clear docs, and extensible patterns that help other engineers move faster.
• Pragmatic and business-oriented: Care about the business impact of what you're building, and prioritize projects accordingly. Understand the balance between craft, speed, and the bottom line.
• Team player: Enjoy collaborating cross-functionally to accomplish shared goals, and care about learning, growing, and helping others to do the same.

Qualifications

• To bring:
• To have past experience working full-stack in Typescript and node.js ecosystem.
• To have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house).
• To have experienced the challenges of scaling and re-architecting event-based platforms and infrastructure through orders of magnitude of growth and scaling data volume.

Skills

• Curiosity in working across the stack.
• Data-driven approach to building & improving systems.
• A knack for ergonomic developer & agentic tooling.
• Pragmatic and business-oriented.
• Team player.

Nice to haves

• To have past experience working full-stack in Typescript and node.js ecosystem.
• To have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house).
• To have experienced the challenges of scaling and re-architecting event-based platforms and infrastructure through orders of magnitude of growth and scaling data volume.

Pay

The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $196,000 - $261,000 per year.

Schedule

Notion is committed to providing highly competitive cash compensation, equity, and benefits.