AI Career Positioning Sprint
This is a focused sprint to help you understand where your background fits in the AI economy and build a practical path toward AI-adjacent roles. Its particularly well suited for folks at the beginning of the search process and looking for clarity and a roadmap You do not need to become an engineer to build a career in AI — but you do need to understand where your experience fits, how to tell a credible story, and how to build the skills employers in this space are starting to value. The good news: AI is still early, moving quickly, and creating new types of roles across strategy, GTM, partnerships, customer success, operations, implementation, product, and business leadership. That means there is a real advantage to making the transition now, especially if you can connect your existing skill set to the problems AI companies are trying to solve. This work is about helping you identify the right pathways, translate your experience into AI-relevant language, and build a practical plan to develop the skills, proof points, and confidence needed to compete for AI-adjacent roles. Across a few sessions, we will map your experience to realistic roles in the AI ecosystem, identify the gaps you need to close, and build a clearer narrative for your resume, LinkedIn, networking, and job search
What's included
- A clearer target role map
- A sharper positioning narrative
- Resume and LinkedIn direction
- Skill-building priorities
Meet your expert
Andrei C.
Move Into AI Without a Technical Background
I’m an AI startup operator, partnerships leader, and career coach with 15+ years of experience across AI, B2B technology, education technology, strategic partnerships, customer experience, and go-to-market strategy. I recently made my own full pivot into AI as the 3rd hire and founding business lead at Superpanel, an early-stage AI startup helping law firms improve their operations by deploying AI agents and workflows. I lead customer experience and AI implementations, translating real customer workflows into AI-first operating models. That gives me a firsthand view into how AI-native organizations operate, what skills they value, and how non-technical professionals can position themselves credibly in this market. Previously, I built and led product and content partnerships at Multiverse, advised LaFamilia Foundation on partnership and AI/workflow strategy, and held leadership roles at Northeastern University and Udacity. Across my career, I’ve built partnerships with organizations including AWS, Google, IBM, NVIDIA, Microsoft, Databricks, Meta, ServiceNow, Coca-Cola, and leading universities. I’m especially helpful for non-technical professionals, business operators, GTM talent, partnerships leaders, customer-facing professionals, and strategy/operations candidates looking to move into AI, startups, tech, business development, or strategic partnerships roles.
