Software Engineer, Data Product Platform

Software Engineer · Mid · Full Time

San Francisco, CaliforniaUSD 196k – 261k1mo ago
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Role

What you'll do.

Join Notion's Data Product Platform team as a Software Engineer to design and scale event-driven systems powering critical product experiences like search, automations, notifications, and Notion AI. You'll work full-stack across infrastructure, libraries, and product code with a talented team, owning platform systems that deliver high leverage to multiple product teams while maintaining reliability for millions of users globally.

Responsibilities

  • Design and Develop Data-Powered Platform Systems: Own the development of event-based systems, tools, and infrastructure frameworks that enable data-driven product experiences across Notion's platform. Design scalable architectures that support millions of concurrent users while maintaining high performance and reliability standards.
  • Cross-Functional Collaboration and Integration: Work collaboratively with Product, Data Science, Data Engineering, and AI teams to translate product requirements into robust technical solutions. Coordinate between multiple teams to deliver both short-term feature launches and long-term architectural improvements that maximize business impact.
  • Full-Stack Implementation and Ownership: Contribute across all layers of the technology stack including infrastructure provisioning, library development, and product-level code implementation. Take ownership of end-to-end platform features, from conception through production deployment and ongoing optimization.
  • Production Systems Monitoring and Optimization: Monitor and operate critical production systems, using data-driven diagnostics with metrics, traces, and logs to identify performance bottlenecks. Proactively optimize systems performance, evolve architecture through scaling challenges, and minimize user disruption during system changes and migrations.
  • Developer Experience and Tooling Enhancement: Build intuitive, ergonomic developer interfaces and agentic tooling that reduces friction for other engineers. Design clear APIs, comprehensive documentation, and extensible patterns that enable product teams to move faster and reduce time-to-market for new features.
  • Performance Analysis and Data-Driven Decision Making: Use metrics, experiments, and telemetry data to validate technical hypotheses and prioritize impactful improvements. Apply a data-driven methodology to diagnose system issues, benchmark solutions, and ensure engineering decisions align with business objectives and user impact.

Qualifications

What we look for.

Technical

  • Full-Stack Software Development

    Demonstrated ability to design and implement systems across infrastructure, backend services, and frontend layers. Experience building production-grade applications that handle scale, with strong understanding of system architecture, performance optimization, and reliability patterns.

  • Event-Driven Architecture Design

    Solid understanding of event streaming systems, message queues, and asynchronous processing patterns. Experience designing or working with event-based architectures that power real-time product features and data processing pipelines.

  • Data Systems and Infrastructure

    Proficiency with data processing frameworks, databases, and infrastructure components. Experience working with distributed systems, data pipelines, or platform engineering that supports data-intensive applications at scale.

  • Production Systems Operations

    Experience monitoring, debugging, and optimizing production systems under real-world conditions. Familiarity with observability tools, logging frameworks, and performance profiling techniques used to maintain system health and reliability.

  • API Design and Developer Tools

    Proficiency in designing clean, intuitive APIs and building developer-focused tooling. Experience creating documentation, SDKs, or frameworks that improve developer experience and reduce adoption friction for internal or external users.

Education

  • Bachelor's Degree in Computer Science or Related Field

    Formal education in Computer Science, Software Engineering, or equivalent field demonstrating foundational knowledge of algorithms, data structures, and system design principles.

Experience

  • 3-5 Years of Professional Software Engineering Experience

    Mid-level software engineering experience with proven ability to design, implement, and ship production systems. Demonstrated track record of taking ownership of complex technical projects and delivering measurable business impact.

  • Platform or Infrastructure Engineering Background

    Experience working on platform teams that build foundational systems supporting multiple product teams. Exposure to challenges of scaling systems through orders of magnitude growth and re-architecting infrastructure to handle increasing data volume and throughput demands.

  • Cross-Functional Collaboration in Product Teams

    Proven ability to work effectively with diverse engineering teams including Product, Data Science, and Backend specialists. Experience translating business requirements into technical solutions while managing competing priorities and constraints.

Skills

Required

  • Curiosity in End-to-End Systems Thinking

    Intellectual drive to understand systems from product surfaces through infrastructure to data flows. Hands-on, learn-by-doing mindset combined with systematic problem-solving approach to identify improvement opportunities across the entire technology stack.

  • Data-Driven Problem Solving

    Proficiency in using metrics, traces, logs, and experiments to diagnose issues and validate technical hypotheses. Ability to establish clear success metrics, measure system behavior, and prioritize improvements based on quantified impact rather than assumptions.

  • Ergonomic API and Tooling Design

    Talent for building interfaces that are intuitive and difficult to misuse. Expertise in designing thoughtful APIs, writing clear documentation, and establishing extensible patterns that accelerate adoption and reduce developer friction.

  • Pragmatic Business Orientation

    Ability to balance technical craft with business realities and timeline constraints. Understanding of how engineering decisions impact business metrics, user experience, and company strategy while maintaining code quality and system reliability.

  • Collaborative Team Mindset

    Strong interpersonal and communication skills with genuine commitment to knowledge sharing and peer growth. Ability to navigate cross-functional environments, seek diverse perspectives, and elevate team performance through effective collaboration and mentorship.

Preferred

  • TypeScript and Node.js Ecosystem Expertise

    Nice to have

    Professional experience building full-stack applications using TypeScript and Node.js. Familiarity with the JavaScript ecosystem tooling, testing frameworks, and deployment patterns that enable rapid iteration and code quality.

  • Data and Infrastructure Platform Experience

    Nice to have

    Prior role on data engineering, infrastructure, or platform teams that owned comprehensive software systems. Direct experience with challenges of scaling event-based systems and managing infrastructure through significant growth phases and architectural evolution.

  • Large-Scale System Scaling Experience

    Nice to have

    Track record of working on systems that scaled through multiple orders of magnitude in data volume, request throughput, or user base. Experience identifying and resolving performance bottlenecks and re-architecting systems to handle exponential growth.

  • AI and Agent Orchestration Familiarity

    Nice to have

    Understanding of AI workflows, agent-based systems, or LLM integration patterns. Experience building infrastructure that supports AI-powered features or agentic tooling, particularly in coordinating multiple AI agents or managing AI-driven data pipelines.

  • Observability and Monitoring Systems Knowledge

    Nice to have

    Experience implementing comprehensive monitoring, logging, and tracing infrastructure. Familiarity with observability best practices, distributed tracing tools, and telemetry-driven debugging approaches in production environments.

Tech stack

Languages

TypeScriptJavaScriptGo

Frameworks

Node.jsReactExpress.js or Fastify

Databases

PostgreSQLRedisElasticsearch

Tools

Kafka or Event Streaming PlatformDocker and KubernetesGit and GitHubCI/CD Platforms (GitHub Actions, CircleCI)Monitoring and Observability Stack

Other

GraphQLMicroservices ArchitectureEvent Sourcing and CQRS PatternsAPI Gateway and Service Mesh Technologies

Compensation

Pay and benefits.

Base·USD 196,000 – 261,000

Equity·Stock options

Benefits

  • Competitive Equity Compensation

    Substantial stock options package reflecting your contribution to Notion's mission. Equity grants align your success with company growth and long-term value creation in the productivity software space.

  • Comprehensive Health and Wellness Coverage

    Medical, dental, and vision insurance plans with competitive coverage. Wellness programs, mental health support, and fitness stipends to support your holistic well-being while working on demanding technical challenges.

  • Professional Development and Learning

    Annual learning budget for conferences, courses, and certifications. Access to internal knowledge-sharing sessions, tech talks, and mentorship from senior engineers pushing boundaries in platform engineering and distributed systems.

  • Flexible Work Environment

    Flexible work arrangements supporting work-life balance. Home office setup stipends and collaboration tools enabling productive remote or hybrid work as Notion continues to scale globally.

  • Generous Time Off and Parental Leave

    Unlimited vacation policy encouraging well-deserved breaks and recharge time. Competitive parental leave benefits and family-friendly policies supporting life transitions and major milestones.

  • 401(k) Retirement Plan

    Company-sponsored 401(k) plan with matching contributions, helping you build long-term financial security and retirement readiness alongside your career growth at Notion.

Full posting

Original listing.

Who We Are

Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.

Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.

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.

The Data Product Platform team is responsible for designing, implementing, scaling and operating systems, tools and frameworks to build event-based or data powered product experiences. You’ll join a team of talented engineers in our mission to build the best in class foundational platforms that are key to the company’s business and product. Notion’s platforms and infrastructure are vital to enabling our product features like search, automations, user notifications, workspace analytics and Notion AI.

What You'll Achieve:

  • You'll own and play a pivotal role in the development of systems, tools and infrastructure that enable data and data systems powered product use-cases.

  • You'll work cross-functionally with engineers and partners from the Product, Data Science, Data Engineering and AI teams to deliver short- and long-term impact.

  • You’ll 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

  • You'll be responsible for monitoring and operating systems in production. You’ll understand systems deeply, optimize performance and evolve critical production systems with minimal user disruption.

Skills You'll Need to Bring:

  • Curiosity in working across the stack: You 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: You 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: You 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: You care about the business impact of what you're building, and you prioritize projects accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line.

  • Team player: You understand work is better, together. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.

Nice to Haves:

  • You’ve had past experience working full-stack in Typescript and node.js ecosystem

  • You have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house). You've experienced the challenges of scaling and re-architecting event-based platforms and infrastructure through orders of magnitude of growth and scaling data volume.

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

By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.

#LI-Onsite

A Note on AI

You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.

Equal Opportunity & Accommodations

We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.

Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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