Lead Deployment Strategist

About Apiphany Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, energy, and industrials to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers. Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together. About the Role As a Lead Deployment Strategist at Apiphany, you’ll sit at the intersection of product, data, and customer success. Your mission is to turn our partners’ most complex manufacturing and engineering challenges into tangible AI-powered impact. You’ll collaborate with engineers, product designers, and executives—both internally and within customer organizations—to identify high-value problems, map workflows, and deploy Apiphany’s intelligence platform in the real world. You’ll translate insights from data into decisions that improve how the world’s most advanced products are designed and built. This is a role for analytical, product-minded problem solvers who thrive in ambiguity, love working directly with customers, and want to build the bridge between AI technology and real-world transformation. Experience & Skills 2-7 years of experience in Mechanical, Aerospace, Industrial, Electrical, Manufacturing, Supply Chain, Automotive, or Robotics/Automation Strong analytical, structured problem-solving, and communication skills Proven ability to manage cross-functional projects and work directly with senior stakeholders Deep curiosity about engineering, data, and AI-driven decision-making Bonus Skills 3–5+ years in client-facing project leadership, delivering measurable impact Experience building or interpreting data models, or working with Python or R Familiarity with manufacturing systems, digital twins, or data pipelines Ability to deliver insights through data analysis and AI models Personality & Values: Startup mindset: bias toward action, rapid iteration, and ownership Mission-driven and customer-obsessed Self-motivated, collaborative, and eager to raise the bar for the whole team Passion for working in a fast-paced, high-impact startup transforming hard tech Compensation & Benefits: Base Salary: $120,000–$180,000 Equity: Generous Equity Visa Sponsorship Hybrid work: 3 days in San Francisco office 401(k) plan Medical, Dental, and Vision insurance coverage Snacks at the office Paid Time Off (PTO): Flexible vacation policy