Software Engineer, Data Platform

About Us:

We’re on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can’t build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.

We’ve been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we’re growing fast and excited for new teammates to join us who are the best at what they do. We’re passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.

About The Role:

You’ll join a team of talented engineers who will design and own foundational data capabilities that are key to the company’s business and product. Notion’s data platform and infrastructure are vital to both empowering every team at Notion to make decisions using data and experimentation, and enabling our product features, like search, user notifications, workspace analytics and Notion AI. We are hiring engineers across multiple levels.

What You’ll Achieve:

• You’ll work cross-functionally with partners from the Data Science, Data Engineering, AI, Product, Go-to-Market, Legal and Finance organizations to deliver short- and long-term impact
• You’ll help in influencing / executing the roadmap for data infrastructure and systems to power high volume product features using Notion’s data.
• You’ll play a pivotal role in the development of tools and infrastructure that democratize data access and enable analytics capabilities across the organization
• You’ll determine the best ways to handle Notion’s unique data model and usage patterns to derive insights and bring intelligence to product features like search and discovery.

Skills You’ll Need to Bring:

• You have experience with big data ingestion, compute, and storage systems based on Spark, Kafka, Flink, and data lake and data warehouse technologies.
• 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 data platforms and infrastructure through orders of magnitude of growth and scaling data volume.

Nice to Haves:

• You’ve built out data infrastructure from, or nearly from, scratch at a fast-growing startup.
• You’ve led a Data Platform / Infrastructure / Data Engineering Team.
• You have experience building MLOps and ML serving infrastructure.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.

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 made due to a disability, please let your recruiter know. 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 $150,000 – $250,000 per year.

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