Position OverviewWe are seeking an exceptional Chief Technology Officer to lead our Large Language Model initiatives and drive technological innovation in AI/ML. This executive role requires a visionary leader who can bridge cutting-edge research with scalable production systems while building and managing world-class engineering teams.Key ResponsibilitiesStrategic LeadershipDefine and execute the technical vision for LLM development, deployment, and scalingDrive strategic partnerships with research institutions, cloud providers, and AI/ML vendorsLead technology roadmap planning aligned with business objectives and market opportunitiesRepresent the company at industry conferences, research symposiums, and with key stakeholdersTechnical ExcellenceOversee architecture and development of large-scale LLM training and inference infrastructureGuide research initiatives in model optimization, efficiency improvements, and novel architecturesEnsure robust MLOps practices, including model versioning, monitoring, and deployment pipelinesDrive innovation in areas such as multi-modal models, retrieval-augmented generation, and agent frameworksOrganizational LeadershipBuild, mentor, and scale high-performing engineering and research teams (50-200+ people)Establish engineering culture focused on excellence, innovation, and rapid iterationCollaborate closely with CEO, CPO, and other executives on product strategy and go-to-marketDrive talent acquisition strategy for specialized AI/ML rolesOperational ManagementOversee technical budgets, infrastructure costs, and resource allocationEnsure security, compliance, and ethical AI practices across all LLM initiativesManage vendor relationships and technology partnershipsDrive cost optimization for compute-intensive workloadsRequired QualificationsEducation & ExperiencePhD in Computer Science, Machine Learning, AI, or related field (or equivalent industry experience)12+ years of technical leadership experience, with 5+ years in executive roles5+ years of hands-on experience with large language models, transformers, or related architecturesProven track record of scaling engineering organizations from startup to enterprise levelTechnical ExpertiseDeep understanding of LLM architectures, training methodologies, and optimization techniquesExperience with distributed training frameworks such as PyTorchStrong background in cloud infrastructure, particularly GPU/TPU clusters and ML platformsKnowledge of model compression, quantization, and inference optimizationUnderstanding of AI safety, alignment, and responsible AI practicesLeadership SkillsDemonstrated ability to recruit, develop, and retain top-tier technical talentExperience managing complex, multi-disciplinary projects with competing prioritiesStrong communication skills with ability to explain complex technical concepts to diverse audiencesTrack record of successful collaboration with product, business, and research teamsPreferred QualificationsStartup experience or research experience at leading AI/ML companies (OpenAI, Anthropic, Google DeepMind, etc.)Published research in top-tier ML conferences such us NeurIPS, ICLML, ICLR, etc.Experience with foundation model commercialization and API productsExperience with open source models, RAG (Retrieval-Augmented Generation), and fine-tuning techniquesCloud experience with AWS or Google Cloud PlatformBackground in adjacent areas such as computer vision, robotics, or speech recognitionMBA or equivalent business educationWhat We OfferCompetitive executive compensation package including equityOpportunity to shape the future of AI technology at scaleAccess to cutting-edge compute resources and research partnershipsCollaborative work environment with world-class researchers and engineersComprehensive benefits including health, dental, vision, and retirement plansFlexible work arrangements and professional development budgetReporting StructureThis role reports directly to the CEO and will be a member of the executive leadership team. The CRO will manage multiple VP-level leaders across Engineering, Research, Infrastructure, and Security.LocationSan Francisco, CA (HQ) with flexibility for hybrid/remote work arrangements. Regular travel required for conferences, team meetings, and partnership activities.DetailsFull timePayment in USD [Open to discussion]
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