Experience:

• 4-8 years of experience as a Software Engineer or Data Engineer, or equivalent
• Track record of building and operating production systems end-to-end across application code, data, and infrastructure
• Experience building AI-enabled applications in production, including LLMs and/or classical ML
• Experience with prompt and tool orchestration, retrieval, evaluation, and iteration based on real-world feedback
• Strong production-readiness instincts, including observability, monitoring, quality gates, incident response, and safe rollouts and rollbacks
• Systems and integration fluency across APIs, data pipelines, and enterprise tools such as CRM, finance, ticketing, and HRIS
• Familiarity with security, privacy, and governance for AI, including access controls, PII handling, vendor and tool risk, and auditability

Responsibilities:

• Partner with internal stakeholders, primarily GTM, Finance, and People teams
• Discover opportunities from ambiguous problem statements and translate them into scoped solutions
• Drive iterative releases from idea to adoption
• Build and ship end-to-end AI solutions from problem framing through data readiness, modeling, evaluation, and production rollout
• Establish evaluation and production-readiness patterns so solutions are reliable at scale
• Create reusable components, tooling, templates, and playbooks to accelerate future projects
• Enable other teams to ship safely
• Deliver creative AI-driven solutions to multifaceted problems with measurable business impact

Additional responsibilities:

• Build operational guardrails for AI delivery
• Navigate messy systems while still delivering reliable outcomes
• Align technical and non-technical partners
• Translate AI concepts into actionable business outcomes
• Work across engineering, data, and business teams
• Use technology to drive measurable user and business outcomes
• Choose pragmatic solutions that deliver the most value
• Be intellectually curious and excited to use AI as a real collaborator

Nice to have:

• Domain experience partnering with GTM and Finance

More skills:

AI applications, classical ML, prompt orchestration, tool orchestration, retrieval, evaluation, incident response, CRM, finance systems, ticketing systems, HRIS, AI-assisted development environments

Other:

• Employment type: Full time
• Department: Engineering
• Work from office on Mondays, Tuesdays, and Thursdays
• Notion is the collaborative AI workspace where teams and agents think together
• Notion serves millions of individuals, small teams, and large companies
• Notinos are customer zero in bringing this future of work to life
• The company values craft and building things that last
• Highly competitive cash compensation, equity, and benefits
• Estimated base salary range for San Francisco: $152,000 to $250,000 per year
• Notion is an equal opportunity employer and provides reasonable accommodations during the application process
• Applicants with arrest and conviction records may be considered consistent with applicable law
• Applicants with criminal histories may be considered consistent with applicable federal, state, and local law