Software Engineer, Early Career

Responsibilities

• Partner with your team to prototype and ship an AI-powered product improvement.
• Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
• Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
• Help shape core user experiences and accelerate how people discover value in Notion.
• Tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience.
• Take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision.
• Work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies.
• Depending on team: build model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability); improve model integration and performance (latency, cost, safety, robustness) and build infrastructure for model serving and experimentation; or create evaluation frameworks and automated/human-in-the-loop testing.

Requirements

• Less than two years of engineering experience.
• Solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
• Expertise building and prototyping: excited to build and iterate quickly; started exploring AI/ML through coursework, projects, internships, or hackathons.
• Comfortable learning how different parts of a product fit together (UI, APIs, data).
• Some familiarity with relational databases like Postgres or MySQL.
• Can take an idea from prototype to a working feature with guidance.
• Thoughtful problem-solving: approach problems holistically, think about implications for real people, navigate ambiguity, decompose complex problems, balance business impact.
• Impact-driven approach to technology: see technologies as tools for user impact; pragmatic about choosing the right tool; stay current with tools like Cursor, Claude Code, and AI-assisted development environments.
• Proactive communication and high agency: own your work, communicate clearly, show initiative, identify needs, drive projects forward.

Nice-to-Haves

• Experience with React, TypeScript, Node.js, Postgres, and Elasticsearch.
• Care about the interaction between technology and society.
• Familiarity with computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay.