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Noción

Software Engineer, Early Career

Notion

Montreal, Quebec, Canada · Jornada completa

Sé el primero en postularte

Experiencia
Hasta 2 años
Salario
USD 130,000 – USD 150,000 / year
Vacantes
1
Al corriente
Hace 5 horas
Modo de trabajo
En la oficina
Elegibilidad
Applicants with less than two years of engineering experience who are interested in an early-career software engineering role at Notion may apply. The company encourages candidates from all backgrounds, including those who do not meet every listed requirement.
Reanudar
Se requiere solicitud

Dónde trabajarás

Descripción del trabajo

About Notion

Notion is an AI-powered collaborative workspace that brings knowledge, projects, meetings, and intelligent tools into one place so teams can work with more speed, clarity, and less fragmentation. It serves millions of individuals, small teams, and enterprises.

Employees at Notion are expected to be the first users of the company’s vision for the future of work. The culture emphasizes craft, durable products, and the belief that meaningful work remains deeply human. The company’s mission goes beyond shipping features; every team works to define the standard for collaboration in the AI era, from operating systems of record to AI agent tooling and automation that removes repetitive work.

About the Role

In this early-career engineering role, you will help improve core experiences and make it easier for people to find value in Notion. You’ll work on impactful problems with growing independence, write code used by millions, and own projects that influence product direction. You will collaborate closely with peers in design, product, and data to shape how people work in the future.

Notion is recruiting early-career engineers for multiple teams, and the recruiting team will match candidates with the group where they can contribute the most and align with their interests.

What You’ll Do

  • Take ideas from concept through launch, then refine features using product insights and user feedback.
  • Raise the speed, stability, and overall quality of high-traffic experiences used by millions of people and many organizations.
  • Design and run experiments that improve activation, retention, collaboration, and revenue in partnership with design, data science, and research.
  • Create internal tools and platform enhancements that help engineers deliver safely and efficiently.
  • Help strengthen engineering culture through code quality, team practices, and a mindset of continuous learning and balanced decision-making.

Potential Areas of Work

  • Core product: Build, improve, and maintain major product surfaces such as the editor, databases, sharing, and other workflow-critical features.
  • AI and automation: Develop and integrate intelligent capabilities that make the product more context-aware, useful, and efficient.
  • Growth and activation: Work on onboarding, discovery, and engagement features that help new users understand and adopt the product.
  • Platform and infrastructure: Support backend systems that improve reliability, scalability, and performance as usage grows.

What You Need

  • Less than two years of engineering experience.
  • Strong foundations in data structures, algorithms, and distributed systems.
  • A practical, customer-focused approach to solving technical problems.
  • Ability to think through problems end-to-end, understand context clearly, and consider real-world impact.
  • Comfort working through ambiguity and breaking complex challenges into maintainable solutions.
  • An outcome-oriented view of technology, using tools and stacks to create user and business value rather than chasing trends.
  • Familiarity with current AI-assisted development tools and a pragmatic mindset about choosing the right tool for the task.
  • Clear communication, ownership of work, and initiative in moving projects forward without waiting for step-by-step instructions.

Nice to Have

  • Experience with any part of the stack: React, TypeScript, Node.js, Postgres, or Elasticsearch.
  • Interest in how technology and society shape one another, and in the responsibilities that come with building technology.
  • Awareness of computing pioneers such as Ada Lovelace, Douglas Engelbart, and Alan Kay.

Compensation and Benefits

Notion offers competitive cash compensation, equity, and benefits. Final pay depends on factors such as location, role scope, complexity, and the candidate’s experience and expertise. For positions in San Francisco or New York City, the estimated annual salary range is $130,000 to $150,000.

Application Notes

By submitting an application, you agree that Notion and its affiliates and subsidiaries may collect and process your information in line with Notion’s Global Recruiting Privacy Policy.

AI at Notion

Deep AI expertise is not required for every role, but Notion expects employees to be curious, experimental, and willing to use AI as a meaningful collaborator. In some roles, AI fluency is essential and will be stated explicitly. The team values people who use AI to think better and help others build on their work.

Equal Opportunity and Accommodations

Notion welcomes applicants from many backgrounds and encourages people to apply even if they do not match every requirement. The company is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Qualified applicants with arrest or conviction records will be considered where permitted by law.

Reasonable accommodations are available during the hiring process. If you need support because of a disability, please let your recruiter know. Notion also states that it provides reasonable accommodations for qualified individuals with disabilities and disabled veterans in its application procedures.

Notion’s hiring and employment decisions do not discriminate based on race, color, religion, national origin, age, sex, pregnancy, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other legally protected characteristics.

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