Notion

Platform Engineer

• You'll own and play a pivotal role in the prototyping, development and scaling of systems and core AI platform primitives.
• You’ll partner closely with product teams to provide paved paths and production-ready guardrails that help new AI features ship faster with less duplicated work.
• You’ll work across infrastructure, shared libraries, APIs, and product integration points to make AI platform capabilities easy to adopt and high-leverage across Notion.
• You’ll operate critical AI systems in production, using observability and diagnostics to understand provider/model behavior, debug failures, improve latency and cost, and evolve systems with minimal user disruption.
• You’ll help Notion safely adopt new models, providers, and AI capabilities through versioning, controlled rollouts, compatibility layers, and clear quality/reliability gates.

Software Engineer, AI Platform

Product Marketing

• Lead launches big and small, coordinating efforts across our Marketing and GTM org to land a successful launch day.
• Drive continued awareness, growth, and adoption of high-PMF features well after launch day — launch is the start of the story, not the end of it.
• Serve as a strategic partner to Product, informing strategy during product development, competitive positioning, and user insights.
• Collaborate with Enterprise PMMs and Sales to build sales enablement materials that turn product capability into stories reps can use in the field.
• Maintain and improve our release comms channels — including notion.com/releases and What's New emails — partnering with Demand Gen and Lifecycle on sequences, webinars, and more.

Product Marketing Manager – Core Product

AI Engineer

• Help shape core user experiences at Notion.
• Tackle meaningful challenges with autonomy.
• Work on AI-powered features leveraging LLMs and embeddings.
• Take ownership of projects and make critical technical decisions.

Software Engineer, Early Career – AI

Business Development Rep

• Scale the Notion platform: In close collaboration with partners and Notion’s product and engineering teams, identify, evaluate and facilitate launch of new product integrations. Project manage partner-centric launches - from partner onboarding and implementation, to driving go-to-market and post-launch tracking.
• Drive partner strategy: Own and grow relationships with select strategic partners, becoming their voice within Notion. Identify, evaluate and implement new product and co-marketing opportunities that create outsized value for partners, Notion and our shared customers.
• Be the best partner to the best partners: As an internal advocate for Notion’s partners, ensure their needs are being considered and reflected in our roadmap and planning. Provide ongoing support to grow our strategic relationships.
• Accelerate distribution partnerships: Source, evaluate, and launch first-in-kind partnerships that drive new user demand for Notion. From negotiation to launch and performance tracking, turn successful deals into scalable programs based on adoption and revenue signals.

Business Development Manager, Product & Platform

Analyst

• Own well-scoped process and tooling improvements end-to-end
• Partner closely with Revenue Accounting and Systems Engineering
• Make revenue close measurably more predictable
• Diagnose and map highest-friction revenue close workflows
• Implement a controlled AI-assisted workflow for repeatable analysis and documentation
• Deliver durable process/tooling improvements
• Raise the bar on operational rigor

Revenue Transformation Analyst

• Own and drive Notion’s AI self-serve support strategy across chat and emerging AI support interfaces, with a focus on expanding high-quality automated resolution and proactive customer guidance.
• Advance Notion’s Digital Strategy by identifying opportunities for AI Support to improve product adoption, onboarding outcomes, scaled customer education, and customer confidence at key moments in the lifecycle.
• Manage the shared internal and third-party AI Support roadmap, ensuring priorities are clearly defined, sequenced, resourced, and tied to measurable customer, support, product, and GTM outcomes.
• Partner closely with Notion’s third-party AI support partner to scope, launch, evaluate, and iterate on new capabilities, experiments, pilots, and workflow improvements.
• Take direct responsibility for core AI Support KPIs, including deflection rate, CSAT, QA quality, containment/resolution quality, escalation quality, and customer experience health.
• Use data, customer insights, QA findings, and support trends to identify opportunities, diagnose performance gaps, and influence roadmap decisions.
• Partner with a Conversation Designer to build and operate a rigorous QA strategy, including launch readiness, regression testing, coverage reviews, and continuous improvement loops.
• Identify tooling, automation, and integration opportunities that expand the range of customer issues Notion’s AI support interfaces can resolve across chat, email, and future surfaces.
• Collaborate with Product, Engineering, Data, CX, and GTM teams to develop proactive and predictive support experiences that help customers get more value from Notion.
• Support GTM initiatives such as sales qualification, customer education, and scaled guidance by identifying where AI support experiences can route, qualify, educate, or accelerate the right next step.
• Lead cross-functional projects across internal teams and external partners, creating clarity, alignment, and momentum in ambiguous or fast-changing problem spaces.
• Define experimentation frameworks for AI Support improvements, including pilots, success criteria, measurement plans, and rollout recommendations.
• Stay current on generative AI support best practices, emerging trends, evaluation methods, and customer experience risks; translate those learnings into practical improvements for Notion.
• Help shape the long-term vision for CX’s AI support footprint, including how AI can responsibly improve self-service, agent handoff, operational efficiency, product adoption, and customer outcomes.

AI Chat Support Lead

Technical Recruiter

• A differentiated early career engine — design and run recruiting programs (internships, new grad pipelines, 0-2 years from school pipelines) that are durable, scalable, and distinctly Notion
• New models for talent discovery — beyond traditional campus funnels; experiment with communities, hackathons, open-source, AI-native sourcing tools, and creative outreach that meets candidates where they are
• Inspired evaluation frameworks — challenge conventional interview loops; build assessments that reveal how early career candidates think, learn, and create — not just what they already know
• A compelling employer brand presence — partner with Comms, Design, and People to articulate why Notion is the best place to launch a career, and bring that story to life across channels, events, and touchpoints
• Hiring team capability — coach and equip hiring managers and interviewers to assess early career talent with nuance, fairness, and high standards

Technical Recruiter, Early Career

Risk

• Own the full IT SOX lifecycle — scoping, risk assessment, documentation, walkthroughs, testing, deficiency evaluation, remediation, and reporting — driving automation and efficiency across IT general controls (ITGCs) and IT application controls (ITACs)
• Design, operate, and continuously improve technology controls spanning user access and segregation of duties, change management, SDLC and CI/CD pipelines, interfaces, data flows, and system-generated reports
• Design and execute value-added operational IT and cybersecurity audits — across cloud infrastructure, security operations, identity and access management, data protection and privacy, disaster recovery and resilience, and vendor and third-party risk — while driving enterprise-level technology risk assessment that anticipates emerging risks before they materialize
• Serve as a strategic advisor on cross-functional initiatives (product launches, new systems, architecture changes, M&A) and as the primary point of contact for external auditors, ensuring sound controls are built in from day one and audit evidence is complete, clear, and timely
• Own IT control deficiencies from identification through sustained remediation while partnering with and educating system owners to build a culture of ownership and accountability
• Champion the adoption of AI and modern tooling — from automated control testing and anomaly detection to continuous monitoring and AI-assisted documentation — to make the IT audit function smarter, faster, and more forward-looking

Lead, IT Audit and Technology Risk

Accountant

• Support the monthly revenue close and ASC 606 revenue accounting for a defined area of our business, with a focus on usage-based and AI-credit revenue.
• Help make the close faster and cleaner — your accurate, on-time work keeps revenue accounting from becoming the bottleneck.
• By day 90, support month-end close for a defined rev-rec area with clean, audit-ready support.
• By day 90, use AI as leverage: partner with the team to generate and validate SQL queries, automate variance checks, and build a lightweight agent/workflow that flags discrepancies before they surprise the close.
• By the end of year 1, produce reliable, well-documented reconciliations and audit support, and contribute to SOX/control documentation.

Revenue Accountant

Recruitment

• Own recruiting for our highest-volume and early career roles across People, Legal, Finance, Marketing, Customer Experience, and Storytelling.
• Build creative sourcing and outbound strategies that help us identify and engage exceptional talent.
• Contribute to redesigning how we evaluate candidates through building prompts, work trials, and creative experiments.
• Partner closely with hiring managers to define hiring needs, calibrate on talent, run structured and rigorous interview processes, and make thoughtful hiring decisions.
• Deliver an exceptional candidate experience from first outreach through close.
• Learn the craft of recruiting from a high-performing team while developing into a trusted talent partner who influences how we attract, assess, and hire exceptional talent.

Business Recruiter

Developer Relations

• Build out Notion’s next fully supported language (alongside TypeScript), with a clear operating model teams trust.
• Own the success of Go as a platform at Notion, while helping the Developer Experience team tackle whatever engineering productivity bottlenecks matter most. Go is the primary focus today, but there is opportunity to shape areas such as AI-assisted development, remote agent environments, CI performance, deployments, and developer workflows.
• Establish safe, reliable frameworks and patterns for running Go services at scale (deployment, observability, reliability, and generally “how we do production”).
• Enable service architecture, maintenance, and ownership through easy, AI-enabled tooling that reduces toil and raises quality.
• By your 90th day, you’ll have shipped a concrete “Go platform v1” that unblocks at least two production teams operating services at real world scale.

Software Engineer, Developer Experience – Go Lead

• Define and own the global early career recruiting strategy
• Manage and develop a high-performing team of early career recruiters
• Serve as a strategic advisor to business leaders
• Lead the adoption of AI tools, workflows, and automation
• Design and continuously improve the programs, processes, and infrastructure
• Establish and own the early career metrics that matter
• Partner with Storytelling to sharpen our employer value proposition
• Partner with Notion's Ambassador Program

Head of Early Career Recruiting

User Researcher

• Define what “good” looks like (frameworks & rubrics)
• Run recurring evals (longitudinal & feature-specific)
• Anchor evaluation in real workflows (context > isolated feedback)
• Identify failure modes & recovery behavior (guardrails)
• Operationalize evaluation with partners (process & tooling)

User Researcher, AI Evaluations

• Design and execute quant + qual research across the AI product lifecycle
• Evaluate collaboration in real workflows
• Build strong relationships with Design, Product, Engineering, and Data Science
• Tailor storytelling to different audiences
• Connect research to business outcomes

Accounting Manager

• Take end-to-end ownership of key areas of the month-end close - whether specific GL areas, intercompany, or allocations - with clear documentation, tight controls, and a review cadence the team can rely on
• Use AI tools to strengthen close quality: catching issues earlier, sharpening flux and variance reviews, and drafting checklists and controls documentation that raise the bar across the team
• Lead cross-functional initiatives - system implementations, process improvements, audits, new entity openings - with clear timelines, milestones, and steady communication along the way
• Mentor junior team members with clear goals, regular feedback, and real investment in their growth as the team scales
• Partner closely with FP&A, Tax, Treasury, Payroll, AP, and other cross-functional teams to keep accounting projects moving and on track
• Support business reporting needs, from recurring management reporting to ad hoc analysis when questions come up
• Spot opportunities for process improvement and automation, and help bring them to life
• Bring operational rigor that makes our close and reporting more scalable, audit-ready, and built for the company's next stage of growth