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 RoleAs 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 & Skills2–7 years of strategic consulting experience (ideally at McKinsey, BCG, Bain, or a comparable firm)
Background 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
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
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
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
Top Skills
What We Do
Billions of unstructured engineering and manufacturing data points turned into actionable insights.
The most accurate AI for product engineering and manufacturing unstructured data. 5x more relevant output than generalized LLMs.
Apiphany connects and transforms your existing unstructured systems, including RFPs, program planning, design specs, functional requirements, test data, purchasing, finance, field reports, and FMEAs, into real-time intelligence.
