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Notion

Analytics Engineer, Trust and Safety

Reposted 10 Days Ago
Hybrid
San Francisco, CA
170K-235K Annually
Senior level
Hybrid
San Francisco, CA
170K-235K Annually
Senior level
The Analytics Engineer will build and maintain data systems for Trust & Safety initiatives, enabling data-driven decisions and enhancing platform integrity against abuse and compliance risks.
The summary above was generated by AI
About Us:

Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.

In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.

About The Role:

Since the launch of Notion, the company has been on a mission to make toolmaking ubiquitous - from wikis to documents, notes, tasks, databases, etc. A strong product intuition and focus on users have helped the company achieve adoption across businesses of all sizes. Today, millions of users rely on Notion's building blocks to get their work done.

As Notion continues to grow quickly, ensuring user safety and platform integrity becomes increasingly critical. There is a unique opportunity to build the data foundations that power Trust & Safety initiatives and help protect our community while maintaining the open, collaborative nature that makes Notion special. This is where you come in — to design and build reliable, trusted and timely datasets that accelerate Trust & Safety decision-making, detect harmful content, prevent abuse, and ensure compliance. You will have a strong impact on making Notion a safer platform for millions of users worldwide.

What You'll Achieve:
  • You'll define the processes and ETL infrastructure to transform and make Trust & Safety data readily available to help understand emerging abuse patterns, size impact of solutions, prioritize future projects

  • You'll build core datasets to serve as unique sources of truth for Trust & Safety functions including abuse detection, content policy enforcement, user safety metrics, fraud prevention, and regulatory compliance

  • You'll partner with internal stakeholders to understand their needs and then design, build and monitor pipelines that enable real-time threat detection and rapid response to safety incidents

  • You'll implement automated workflows that support content moderation at scale, define and uphold SLAs for critical safety data delivery, and build dashboards and self-serve analytics tools for Trust & Safety teams

Skills You'll Need to Bring:
  • You are a self-starter and continuously gather and synthesize high-impact needs from business partners, design and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs

  • You've spent 5+ years as an analytics or data engineer building core datasets and supporting business verticals as needed. You are passionate about analytics use cases, data models and solving complex data problems

  • You have hands-on experience in the Trust & Safety domain

  • You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star/snowflake schemas)

  • You are an SQL expert. You intimately understand aggregation functions, window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries

  • You are highly comfortable with object-oriented programming paradigms (e.g Python, Java, Scala)

Nice to Haves:
  • You have worked at a fast-growing start-up, a SaaS company or are eager to contribute in such an environment (being a current Notion user would be great!)

  • You have hands-on experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc)

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 $170,000 - $ 235,000 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

Top Skills

Airflow
AWS
Azure
Dbt
GCP
Hive
Hive
Java
NoSQL
Orc
Parquet
Python
Redshift
Scala
Snowflake
Spark
SQL
HQ

Notion San Francisco, California, USA Office

San Francisco, CA, United States, 94110

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