Anthoula is a Senior Product Manager at Workable with a diverse background in the tech industry. She holds an MEng in Electrical and Computer Engineering from NTUA and an MSc in Management from UCL School of Management. Anthoula has worked in London and Athens for companies such as the Capgemini Group, Canon UK, Freshfields Bruckhaus Deringer, Zappi and Allwyn (former Camelot LS) and she has been involved in software projects across a range of industries including recruiting, lottery, market research, law, and e-commerce. Anthoula is passionate about topics related to AI in product management, mental health in the workplace, diversity and inclusion.
Anthoula is a Senior Product Manager at Workable with a diverse background in the tech industry. She holds an MEng in Electrical and Computer Engineering from NTUA and an MSc in Management from UCL School of Management. Anthoula has worked in London and Athens for companies such as the Capgemini Group, Canon UK, Freshfields Bruckhaus Deringer, Zappi and Allwyn (former Camelot LS) and she has been involved in software projects across a range of industries including recruiting, lottery, market research, law, and e-commerce. Anthoula is passionate about topics related to AI in product management, mental health in the workplace, diversity and inclusion.
AI isn’t magic—but when you understand how to structure your input, it can function like a superpower. In this session, I’ll share how prompting, meta prompting, and even reverse meta prompting have become part of my daily life as a Product Manager working with cross-functional teams. You’ll learn how to create prompts that produce structured, relevant, and context-aware output. We’ll explore meta prompting as a way to refine your thinking before execution, and reverse prompting as a method to debug and stress-test your own inputs.
This isn’t a talk about hype—it’s about how to use AI practically, thoughtfully, and effectively in product work (and beyond). Because while AI can help us move faster, it still can’t align a team or handle trade-offs. That’s still on us.
Key Takeaways:
-What prompting, meta prompting, and reverse meta prompting actually mean (and why they matter)
-How to write AI prompts that produce useful, context-aware results
-How meta prompting can refine your problem framing before asking AI for help
-How reverse meta prompting helps you assess and improve your own thinking
