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
• 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/rollbacks in live business workflows
• Systems and integration fluency across APIs, data pipelines, and enterprise tools
• Familiarity with security, privacy, and governance for AI

Responsibilities:

• Partner with internal stakeholders to discover opportunities from ambiguous problem statements
• Translate ambiguous problems into scoped solutions
• Drive iterative releases from idea to adoption
• Build and ship end-to-end AI solutions from problem framing through production rollout
• Establish evaluation and production-readiness patterns for reliable scaling
• Create reusable components, tooling, templates, and playbooks
• Enable other teams to ship safely

Additional responsibilities:

• Deliver and scale creative AI-driven solutions to multi-faceted problems
• Build reusable components, evaluation patterns, and operational guardrails
• Work primarily with GTM, Finance, and People teams
• Build business-impactful solutions with measurable outcomes
• Navigate messy systems while delivering reliable outcomes

Nice to have:

• Domain experience partnering with GTM and Finance

More skills:

classical ML, prompt orchestration, retrieval, evaluation, observability, monitoring, quality gates, incident response, rollouts, rollbacks, enterprise tools, Cursor, AI-assisted development environments, access controls, PII handling, vendor/tool risk, auditability

Other:

• Full time
• Department: Engineering
• Work from offices on Mondays, Tuesdays, and Thursdays
• Anchor Days are Mondays, Tuesdays, and Thursdays
• Notion is a collaborative AI workspace
• Millions of individuals, small teams, and large companies use Notion
• Notinos are customer zero in bringing this future of work to life
• Focus on craft and building things that last
• Goal is to set the standard for how humans work together in the AI era
• Competitive cash compensation, equity, and benefits
• Estimated base salary range for San Francisco: $152,000 - $250,000 per year
• Compensation varies by location, scope, complexity, experience, and expertise
• Equal opportunity employer
• Reasonable accommodations available during the application process
• Consideration of qualified applicants with arrest and conviction records
• Consideration of qualified applicants with criminal histories consistent with applicable law
• Commitment to reasonable accommodations for qualified individuals with disabilities and disabled veterans