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

Experience Requirements:

• Middle

Experience Requirements:

• Senior

Experience Requirements:

• Senior

• Lead

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:

• 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.

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

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.