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:

• 3+ years of experience as an Executive Assistant, Chief of Staff, or in a similar high-performance administrative role supporting executives at a high-growth tech company.

• Proven ability to manage complex schedules, coordinate meetings, and handle communications with professionalism and discretion.

• Strong organizational and time-management skills, with a proactive approach to problem-solving.

• Excellent written and verbal communication skills, with the ability to interact effectively at all levels of the organization.

Responsibilities:

• Coordinate and optimize calendars, ensuring smooth day-to-day operations while balancing priorities.

• Serve as a key point of contact for internal and external stakeholders, managing emails, calls, and correspondence.

• Schedule, prepare agendas, take notes, and follow up on action items to ensure progress.

• Improve administrative processes, optimize workflows, and identify ways to enhance efficiency.

• Arrange travel, accommodations, and itineraries for our founders for customer meetings, speaking events, staff meetings, board meetings, team events, etc.

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

Education Requirements:

• Bachelor’s Degree in Engineering, Computer Science, or a technical field.

Experience Requirements:

• 3+ years of working experience in a technical role interfacing with technical and non-technical folks.

Responsibilities:

• Build, deploy, and maintain Python automation scripts and other tools to streamline the data annotation process, automate repetitive tasks, and reduce manual effort.

• Identify bottlenecks in the data labeling pipeline and implement solutions to enhance throughput, accuracy, and scalability of labeling operations.

• Work closely with the Project Management team to ensure that data labeling meets accuracy standards and troubleshoot any issues related to data quality.

• Plan quality assurance workflows to use GenAI and open-source models to find data anomalies.

• Set up monitoring tools to track the performance of data annotation operations, reporting key metrics and areas for improvement to leadership.

Experience Requirements:

• 1-2 years of sales experience

Responsibilities:

• Manage your own sales and meetings pipelines in a specified territory

• Discover new sales leads based on industry & account research (Linkedin Sales Navigator, ZoomInfo, internet research, etc)

• Create strategic outreach campaigns (calls, emails, Linkedin, social selling, etc)

• Qualify prospects/accounts through email, phone, Linkedin, etc

• Manage prospects, accounts, and opportunities in Salesforce

Experience Requirements:

• 2+ years of closing sales experience at a technology company and experience closing 6-7 figure enterprise contracts.

• Experience managing a consultative sales cycle with executives at Fortune 50 companies.

Responsibilities:

• Develop a Sales Pipeline: Identify key target accounts interested in generative AI solutions and create customized outreach strategies to build strong relationships.

• Strategically Map Stakeholders: Identify decision-makers in AI adoption and devise a plan to secure their buy-in for generative AI services.

• Lead and Manage the Sales Cycle: Tailor pitches and AI product demos to address the specific needs and challenges of each client.

• Ensure Client Satisfaction: Collaborate with the Customer Success team during AI pilot phases to ensure a seamless transition to long-term AI service contracts.

• Expand Client Accounts: Coordinate post-sales efforts to ensure successful AI deployment, enhance customer experience, and manage account growth and renewals.

Benefits:

• Medical

• Dental

• Vision

• Professional development

• Employee paid life & disability life insurance policy. An insurance policy pays a sum of money either on the death of an insured person or after a set period.. Disability insurance replaces a portion of your income if you can't work because of illness or injury. disability insurance - provides a monthly income if you become disabled as a result of illness or accident. Paid time off - is paid time away from work that employees can use for any reason - vacation, illness, or appointments.Paid sick leave - is paid time off from work that workers can use to stay home to recover from an illness or to care for a sick family member.Paid vacation - is paid time off from work that workers can use for any purpose, such as vacation, rest, or relaxation. Paid holidays - are paid days off from work that workers get for holidays, such as New Year's Day, Memorial Day, and Christmas. Parental leave - is paid or unpaid time off from work to care for a new child. Bereavement leave - is paid or unpaid time off from work to grieve the death of a loved one. Jury duty leave - is paid or unpaid time off from work to serve on a jury. Military leave - is paid or unpaid time off from work for military service. Voting leave - is paid or unpaid time off from work to vote.

Responsibilities:

• Ensure that robotic systems operate successfully in customer use cases via teleoperation with a focus on data gathering and data generation.

• Run robotic systems continuously throughout the day, identifying bugs and technical issues and generating collected data for ongoing improvements.

• Operate teleoperation equipment as needed to guide the robot through specific behaviors.

• Follow proper equipment and robot maintenance procedures, including setup and operation.

Experience Requirements:

• 1+ years

Responsibilities:

• Support sales in exceeding quotas through enterprise solution selling.

• Co-sell on strategic opportunities, attend customer meetings, and establish trusted advisor relationships with customers.

• Ramp up as a trusted customer-facing resource within the first few months, confidently engaging in C-level enterprise conversations.

• Win multiple high-value opportunities within the first year by effectively demonstrating the value of People.ai’s solutions and addressing technical pre-sales inquiries.

Benefits:

• Competitive salary and equity

• Work remotely, no commuting to the office

• 21 days paid vacation

• Company-sponsored team retreats, events, and meals

• Comprehensive health benefits, including medical, dental, vision, mental health, and monthly wellness stipend. M1 Macbook Pro, 4K display, accessories, and a monthly AI stipend to explore new tools Comprehensive family benefits, including 16 weeks paid family leave and support for IVF, egg freezing, adoption, and childcare

Experience Requirements:

• Have experience leading the architecture of projects, services, and teams.

• Have experience managing, deploying, and scaling infra in large-scale environments.

• Are a self-starter with the ability to work independently and solve complex problems. Prior founder or startup experience is a plus.

• Are open-minded to using state-of-the-art tools.

• Are well-versed in systems thinking.

Responsibilities:

• Report directly to our CEO and work closely with our Founding Engineer, Lead UX Designer, and CEO to architect and build backend systems that integrate state-of-the-art artificial intelligence to enable intelligence in our product.

• Lead architecture and implementation of our core infrastructure and sync systems.

• Build the backend for user-facing features that enable integrated, context-aware, and proactive personal knowledge assistance.

• Tackle challenging backend problems from end-to-end, such as local-first sync, collaborative rich text editing, data ingestion and processing, real-time recommendation, and LLM-augmented information indexing, retrieval, and discovery.

• Improve observability, monitoring, and alerting so that we can most effectively respond to operational incidents.