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

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