Female Founder Challenges Robotics’ PhD Assumption with $280M Startup

Female founders with nontraditional backgrounds are challenging the assumption that robotics and artificial intelligence require advanced technical degrees. Oana Jinga, cofounder and Chief Commercial and Product Officer of Dexory, has raised $280 million for her robotics company despite holding a liberal arts degree and no background in robotics when she started a decade ago. Her experience highlights a broader opportunity to attract diverse talent to physical AI by reframing how the industry sells itself.

Jinga spent six years in marketing, sales, and partnerships at Telefonica and Google before cofounding Dexory. Her path into robotics was unconventional: she came to the field as a go-to-market specialist with degrees in liberal arts and business, not as a lab scientist or engineer. Walking into robotics meetings early in her company’s existence, she was often the only woman in the room. While Jinga observes progress in the field, more women now lead engineering teams, design products, and build AI models, she argues that the industry has yet to solve a fundamental recruitment challenge.

Why Robotics Needs Broader Talent, Not Just Specialists

Talent scarcity is one of the biggest challenges robotics founders face, yet the industry continues to advertise positions that seem designed to attract only people with decades of specialized experience. This narrow approach contradicts the actual needs of robotics companies, which require product designers, salespeople, operators, and storytellers alongside engineers. Building a robotics company demands far more than technical expertise in sensors and autonomous systems.

The real bottleneck is how the industry markets itself. Robotics founders emphasize hardware details, LiDAR specifications and navigation algorithms, instead of the problems those technologies solve. To attract more women and other talented outsiders, Jinga argues, the field must shift its message from “robots” to what robots make possible: safer dangerous environments, reduced waste in global supply chains, and AI solving real-world physical challenges that touch nearly every product consumers use.

Building a Pipeline from Youth Programs to Industry

Emerging robotics clubs across Romania demonstrate that the technology attracts young people when framed as problem-solving rather than specialized research. Romanian teams of both young men and women have won international competitions through these grassroots programs. Jinga notes that the next generation of scientists will likely be more diverse than the current robotics workforce, offering new opportunities if the private sector invests in early talent development.

The United States and Europe should replicate this model by sponsoring youth robotics initiatives and nurturing young talent over time. Young people who engage with robotics as accessible, exciting technology may grow into industry advocates and eventually join robotics companies. This pipeline approach addresses the talent shortage while building a more inclusive field.

Narrative and Funding as Barriers to Growth

Beyond hiring, funding disparities reflect a wider venture capital issue. Big funding rounds, often going to male founders, receive the most media attention and generate cultural momentum. Jinga observes that women tend to discuss their results only after achieving massive success, while male founders publicize milestones throughout their journey. This narrative gap makes founder careers seem less relatable to other women considering entrepreneurship.

Jinga advocates for founders to share the full reality of building a company, including difficulties and setbacks. When women see the complete process, not just polished outcomes, others may recognize they could follow a similar path. Changing how founders tell their stories helps all entrepreneurs, male and female alike, because it normalizes the messy middle of startup life and makes entry into fields like robotics feel achievable for people without specialized credentials.