Experience Requirements:

• 5+ years of success in your current Customer Success or Account Management role

Responsibilities:

• Drive onboarding, adoption, utilization, and growth in Notion’s existing customer base by owning specific customer accounts

• Proactively identify customers who aren’t maximizing their opportunity with our product/service and reach out to create an action plan to help them achieve success

• Partner with the Account Management team on marquee Mid-Market accounts to expand use cases and create stickier customers

• Learn our product inside and out and help your customers drive business outcomes

Experience Requirements:

• You have 2+ years of experience managing engineering teams with a record of shipping high-quality outcomes in a fast-paced environment.

• You have a sufficiently deep background in the observability, reliability and/or deployment infrastructure.

Responsibilities:

• You'll build and manage a diverse and inclusive team of engineers building deployment infrastructure and observability platform of Notion engineering. You'll create a healthy environment in your team that embodies Notion's values.

• You'll recruit, coach, and develop engineers; you'll ensure engineers are regularly receiving feedback and are making progress on personal and professional goals.

• You'll collaborate closely with engineering teams to provide best in class deployment and observability experience. Your team owns mean time to detect (MTTD) and mean time to recover (MTTR) SLOs for Notion.

Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 6+ years

Benefits:

• Competitive salary and equity package

• Comprehensive benefits including health, vision, and dental coverage

• High-ownership, high-velocity environment with rapid learning opportunities

• Chance to work on a profound technical problem that, if solved, will accelerate the future of technology development and civilization

Education Requirements:

• A Bachelor's degree in Computer Science, Software Engineering, or related field; advanced degree preferred

Experience Requirements:

• You are an exceptional researcher who has designed large-scale ML systems

• Experience building LLM applications and agentic LLM systems

• Familiarity with cloud computing platforms and distributed systems

• Have strong intuition about computer architecture to quickly understand chip design and verification tasks

• Strong communication abilities and experience working in cross-functional teams

Other Requirements:

• Strong proficiency in Python and AI/ML frameworks like PyTorch

Responsibilities:

• Design and implement core components of our AI-powered engineering systems

• Integrate classical algorithms and deep learning-based approaches across modalities

• Utilize our GPU clusters for efficient training, finetuning, and inference of AI models, ensuring optimal performance and scalability.

• Explore and implement efficient inference techniques to reduce computational costs and improve the speed of model predictions without compromising quality.

• Stay ahead of the curve in AI research, particularly in the areas of LLMs, to continually improve our technologies and methodologies.

Experience Requirements:

• 7+ years of experience in business development, strategic partnerships, or a similar role

• 2 + years of proven experience in building and managing successful partnerships in the Ad-tech industry

Other Requirements:

• Proven experience in high growth companies in the space with demonstrated results accelerating business w/GL/Met - strong advantage

• Strong expertise in performance marketing

• Analytical mindset with the ability to assess and optimize partnership performance.

• Experience working in a fast-paced, high-growth environment.

• Strong network of industry contacts and relationships.

• Ability to think strategically while executing operationally.

• Excellent communication and relationship-building skills

• The position requires 25% travel.

Responsibilities:

• Build, maintain, and grow strategic relationships with partners such as Meta and Google.

• Identify and evaluate potential strategic partners aligned with business goals.

• Develop and execute partnership strategies to drive mutual growth and value.

• Negotiate and manage partnership agreements, ensuring clear terms and successful execution.

Responsibilities:

• Map and define sophisticated enterprise buyer personas across verticals, with specific focus on how different industries evaluate and adopt ML technology

• Track emerging ML model architectures & capabilities to identify strategic market opportunities and inform product positioning

• Transform complex ML infrastructure concepts into compelling, vertical-specific value propositions that resonate with both technical and business stakeholders

• Create technical content and sales enablement materials that demonstrate our unique approach to enterprise ML deployment

• Drive end-to-end launch strategy for new ML capabilities, ensuring GTM teams can effectively position our technical differentiation within each target vertical

Responsibilities:

• Own end-to-end customer relationships from technical discovery through implementation and success validation

• Translate customer use cases into detailed technical implementation plans for the Applied ML Engineering team

• Conduct technical discovery sessions with customers to deeply understand their requirements, constraints, and success criteria

• Build and maintain the technical roadmap for each customer engagement, identifying risks and dependencies early

• Serve as the escalation point for complex technical challenges encountered during implementations

Responsibilities:

• Create and maintain data cleaning, filtering, selection pipeline than can handle >100TB of data.

• Watch out for the release of public dataset on huggingface and other platforms.

• Create crawlers to gather datasets from the web where public data is lacking.

• Write and maintain synthetic data generation pipelines.

• Run ablations to assess new dataset and judging pipelines.

Responsibilities:

• Design and implement high-performance, scalable training infrastructure that efficiently utilizes our GPU clusters for both specialized and large-scale multimodal models

• Build robust data loading systems that eliminate I/O bottlenecks and enable training on diverse multimodal datasets

• Develop sophisticated checkpointing mechanisms that balance memory constraints with recovery needs across different model scales

• Optimize communication patterns between nodes to minimize the overhead of distributed training for long-running experiments

• Collaborate with ML engineers to implement new model architectures and training algorithms at scale

Responsibilities:

• Create and maintain data processing, cleaning, filtering, and selection pipeline that can handle image-text data.

• Watch out for the release of public high quality VLM datasets.

• Create and maintain synthetic data augmentation pipeline to enhance VLM data quality.

• Work with the multimodal vision team to run ablations on new dataset.

Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance plans

• 401(k) plan

• Unlimited PTO

• Fun global offsites!

Education Requirements:

• Bachelor’s degree in Business, Marketing, or a related field, or equivalent practical experience.

Experience Requirements:

• Proven experience in a sales or business development role, preferably within a startup or fast-paced environment.

• Strong communication skills, both written and verbal, with the ability to engage and persuade potential clients

• Experience with CRM software (e.g., Salesforce, HubSpot, Attio) and sales engagement tools

Responsibilities:

• Generate new business pipeline primarily through prospecting outbound opportunities

• Manage inbound leads that are driven by outbound effort

• Nurture early-stage opportunities

• Partner with your AE to identify and source net new pipeline and assist by researching lines of business and personas

• Identify key decision makers within new accounts

Benefits:

• Potential for stock options

• A dynamic, agile work environment

• A chance to be at the forefront of cybersecurity innovation

• Flexible remote work arrangement and a healthy work-life balance

• Provided MacBook, monitor, and other essential tools

Experience Requirements:

• Experience in Product Management, preferably in SaaS and/or Security

• Strong ability to translate technical concepts into user-friendly features

• Excellent communication and collaboration skills

• Familiarity with Agile methodologies, roadmaps, and backlog management

Responsibilities:

• Help define and oversee the execution of the product roadmap, aligning with business goals and customer needs.

• Conduct market research, meet with customers, collect user feedback, and perform analysis to drive product decisions.

• Collaborate with engineering, design, and security teams to bring features to life and simplify the product.

• Prioritize features and improvements, ensuring both the best user experience and business impact.

• Communicate product vision and progress across teams and stakeholders.

Experience Requirements:

• Senior

• Lead

Experience Requirements:

• Senior

Experience Requirements:

• Middle