Job Specifications
As Head of Applied AI, you will lead the design, development, and deployment of advanced AI solutions that deliver measurable business impact for enterprise customers. You will manage and mentor a high-performing team of Applied AI Engineers, guiding them in translating complex business needs into actionable data and AI systems. This role demands a strong blend of technical expertise in machine learning and data science, hands-on leadership in building and deploying production-ready AI applications, and exceptional communication skills to effectively engage with both technical and non-technical stakeholders. You will be responsible for scoping project requirements, creating detailed work plans, setting clear milestones, and ensuring timely, high-quality delivery. In addition to overseeing project execution, you will contribute directly to technical development, collaborating closely with Product, Sales, Engineering, and Research teams while representing the company as a technical leader in customer engagements and the broader AI community. Your strategic vision and leadership will be essential in fostering innovation, driving growth, and ensuring our applied AI practice remains at the forefront of the industry. Main Responsibilities: Oversee the full lifecycle of AI/ML solution development, from ideation to successful deployment, integration, and customization for diverse customer needs. Define and execute the technical and product vision for applied AI solutions, ensuring alignment with the company's overall business strategy. Lead, mentor, and develop a high-performing team of Applied AI Engineers, fostering technical excellence and professional growth. Develop and implement state of the art AI techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training, and optimizing model performance for real-world deployment to maximize business impact. Collaborate cross-functionally with product, research, and field teams to prioritize the roadmap, integrate new developments, and ensure seamless delivery of AI capabilities. Build and nurture strong relationships with key stakeholders, understanding their business requirements and aligning AI solutions to deliver measurable value. Identify and drive opportunities to differentiate the company's AI offerings, contributing insights and feedback to influence product and research directions. Represent the company at industry events, conferences, and webinars, sharing expertise and promoting innovative AI solutions. Maintain the organization's position as an industry leader by staying abreast of the latest AI/ML trends and incorporating cutting-edge advancements into products and services. Occasionally travel to customer sites for workshops, implementation support, and relationship building, ensuring customer success and satisfaction. Preferred Qualifications: Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field, or equivalent experience. 5+ years of hands-on experience in Applied AI and ML roles, leading successful customer-facing projects. Strong proficiency in Python for data preparation, analysis, feature engineering, and visualization; experience with NLP is preferred.
About the Company
Snorkel AI is building the data layer for specialized AI, enabling frontier labs, enterprises, and government agencies to develop AI tailored to their unique workloads. Born from pioneering research at the Stanford AI Lab, Snorkel combines cutting-edge programmatic data development technology with deep domain expertise to accelerate AI from prototype to production. Backed by Addition, Greylock, GV, In-Q-Tel, Lightspeed Venture Partners, and funds and accounts managed by BlackRock, Snorkel AI is headquartered in Redwood City,...
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