{"schemaVersion":"jobsearcher.job.v1","id":"4e99939c8258bc61e3622360","url":"https://jobsearcher.com/jobs/4e99939c8258bc61e3622360","canonicalUrl":"https://jobsearcher.com/jobs/4e99939c8258bc61e3622360","title":"VP AI/Machine Learning","description":"About The Role\r\nPragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks.\r\nLocation: New York, NY\r\nStart date: ASAP\r\nLanguages: English (required)\r\nWhat You'll Do\r\nDefine the company's ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions.\r\nDesign and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving.\r\nEstablish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration.\r\nOwn the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve.\r\nPartner closely with product and backend engineers to integrate ML into customer-facing systems.\r\nWrite production-quality code within the existing codebase and contribute to architectural decisions.\r\nOver time, help recruit, mentor, and lead the ML team as the function expands.\r\nWhat We're Looking For\r\n8+ years of experience building ML systems in production environments.\r\nExperience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company.\r\nStrong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript.\r\nExperience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms).\r\nHands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools.\r\nComfortable working across the stack — infrastructure, backend systems, and data platforms.\r\nDemonstrated ability to mentor engineers and elevate technical standards within a team.\r\nHigh autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks.\r\nBonus Points\r\nExperience building ML systems for security, fraud detection, or adversarial environments.\r\nExperience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails).\r\nBackground in real-time inference systems or high-throughput distributed systems.\r\nExperience making strategic build vs. buy infrastructure decisions.\r\nPrevious startup experience in high-growth environments.\r\nWhy This Role Will Pivot Your Career\r\nStrategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity.\r\nFounding-level impact: Build and define the ML function from zero in a company where ML is core to product value.\r\nEnterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations.\r\nMassive market opportunity: Positioned in a rapidly expanding AI cybersecurity space.\r\nLeadership path: Opportunity to evolve into Head of ML as the organization scales.\r\nOwnership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction.\r\nBenefits\r\nCompetitive salary & equity options\r\nHealth, Dental, and Vision\r\n401k\r\nHybrid flexibility\r\nPragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.\r\nCompensation Range: $300K - $400K\r\nJ-18808-Ljbffr","company":"SupportFinity","rawCompany":"supportfinity","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:39:51.348Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"VP AI/Machine Learning","description":"About The Role\r\nPragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks.\r\nLocation: New York, NY\r\nStart date: ASAP\r\nLanguages: English (required)\r\nWhat You'll Do\r\nDefine the company's ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions.\r\nDesign and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving.\r\nEstablish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration.\r\nOwn the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve.\r\nPartner closely with product and backend engineers to integrate ML into customer-facing systems.\r\nWrite production-quality code within the existing codebase and contribute to architectural decisions.\r\nOver time, help recruit, mentor, and lead the ML team as the function expands.\r\nWhat We're Looking For\r\n8+ years of experience building ML systems in production environments.\r\nExperience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company.\r\nStrong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript.\r\nExperience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms).\r\nHands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools.\r\nComfortable working across the stack — infrastructure, backend systems, and data platforms.\r\nDemonstrated ability to mentor engineers and elevate technical standards within a team.\r\nHigh autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks.\r\nBonus Points\r\nExperience building ML systems for security, fraud detection, or adversarial environments.\r\nExperience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails).\r\nBackground in real-time inference systems or high-throughput distributed systems.\r\nExperience making strategic build vs. buy infrastructure decisions.\r\nPrevious startup experience in high-growth environments.\r\nWhy This Role Will Pivot Your Career\r\nStrategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity.\r\nFounding-level impact: Build and define the ML function from zero in a company where ML is core to product value.\r\nEnterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations.\r\nMassive market opportunity: Positioned in a rapidly expanding AI cybersecurity space.\r\nLeadership path: Opportunity to evolve into Head of ML as the organization scales.\r\nOwnership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction.\r\nBenefits\r\nCompetitive salary & equity options\r\nHealth, Dental, and Vision\r\n401k\r\nHybrid flexibility\r\nPragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.\r\nCompensation Range: $300K - $400K\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T15:39:51.348Z","dateModified":"2026-04-09T15:39:51.348Z","hiringOrganization":{"@type":"Organization","name":"SupportFinity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4e99939c8258bc61e3622360"},"url":"https://jobsearcher.com/jobs/4e99939c8258bc61e3622360"}}