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.

Benefits:

• Great Tech Stack

• High OTE

• Great Training

• Career Progression

• High Quota Attainment

Benefits:

• Career Progression

• Great Training

• High OTE

Benefits:

• Career Progression

• Great Tech Stack

• Great Training

• High Quota Attainment

• High OTE

Experience Requirements:

• Proven experience in growth hacking, with a strong focus on paid advertising (e.g., Google Ads, Facebook Ads) and outbound marketing.

Other Requirements:

• Expertise in data analysis and performance metrics, with the ability to turn insights into actionable strategies.

• Hands-on experience with A/B testing, campaign optimization, and conversion rate improvement.

• Strong knowledge of marketing automation tools and CRM platforms (e.g., HubSpot).

Responsibilities:

• Develop and Execute Growth Strategies

• Manage Paid Advertising Campaigns

• Implement Outbound Marketing Initiatives

Benefits:

• Cutting-edge tech

• Career growth

• Great culture

• Hybrid model

• Medical & 401(k) benefits

Education Requirements:

• Bachelor’s in Computer Science or equivalent.

Experience Requirements:

• Minimum of six years of experience developing scalable applications, with demonstrated success in high-impact roles.

Other Requirements:

• Self-starter who thrives in ambiguity and can envision successful outcomes.

• Clear communicator capable of expressing complex ideas and executing them effectively.

• Enjoys tackling real-world problems and navigating uncharted technical areas.

• Strong sense of ownership, able to lead and guide teams to reach impactful solutions.

• Leading an AI or LLM-related project will be a huge plus.

• Experience with fintech, tax, and accounting software is excellent to have.

• Former technical founders are welcome to apply.

• H1B visa transfer is available.

Responsibilities:

• End-to-End System Design

• API and Microservices Architecture

• Database Management and Security

• Cross-Functional Collaboration

• Technical Problem Solving: Analyze complex technical problems and provide solutions that optimize for both performance and scalability. Contribute to architectural decision-making and system design for the broader engineering team.

Benefits:

• Cutting-edge tech

• Career growth

• Great culture

• Hybrid model

• Medical & 401(k) benefits

Education Requirements:

• Bachelor’s in Computer Science or equivalent.

Experience Requirements:

• Minimum of six years of experience developing scalable applications, with demonstrated success in high-impact roles.

Other Requirements:

• Self-starter who thrives in ambiguity and can envision successful outcomes.

• Clear communicator capable of expressing complex ideas and executing them effectively.

• Enjoys tackling real-world problems and navigating uncharted technical areas.

• Strong sense of ownership, able to lead and guide teams to reach impactful solutions.

• Leading an AI or LLM-related project will be a huge plus.

• Experience with fintech, tax, and accounting software is excellent to have.

• Former technical founders are welcome to apply.

• H1B visa transfer is available.

Responsibilities:

• End-to-End System Design

• API and Microservices Architecture

• Database Management and Security

• Cross-Functional Collaboration

• Technical Problem Solving: Analyze complex technical problems and provide solutions that optimize for both performance and scalability. Contribute to architectural decision-making and system design for the broader engineering team.

Experience Requirements:

• 3+ years of experience in UI/UX design, with hands-on experience across web and mobile.

Other Requirements:

• Ability to transform complex workflows into intuitive user interfaces.

• Strong presentation and communication skills, with a focus on empathizing with users to deliver impactful designs.

• Experience working closely with engineering teams to bring designs to life with precision.

Responsibilities:

• Lead design initiatives across a broad spectrum of product features, from concept through to launch, in close collaboration with product managers, engineers, and stakeholders.

• Create pixel-perfect, user-centered designs for web and mobile that balance functionality with aesthetic appeal.

• Conduct and implement UX processes such as user interviews, journey mapping, prototyping, and feedback loops.

• Develop and iterate on design solutions based on user feedback and data-driven insights to optimize the user experience.

• Collaborate regularly with team members in design reviews, working together to refine and enhance our design language and product quality.

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:

• 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:

• 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.

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 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.

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.