Try for free
Cambridge Tech Podcast
Cambridge Tech Podcast

Cambridge Tech Week - Amelia Armour & Kristian Segerstrale

21 October 2025 26:20 James Parton & Faye Holland

Listen to episode

About this episode

We have been given permission by the Cambridge Tech Week team to share content from the conference over the coming weeks and months. Today we begin with one of our favourite sessions from startup to scaleup day, where Amelia Armour of Amadeus Capital Partners interviewed Kristian Segerstrale from Super Evil Mega Corp who is currently navigating the Cambridge ecosystem on a quest to understand how to better enable the scaleup potential of the city.


Key Takeaways:


• “Momentum is currency.” In the US, rapid scaling matters more than capital itself. Christian urges UK founders to foster impatience for growth and not fear fast failure.


• “Everyone celebrates either a quick victory or a quick blowout. What people fear most are ‘zombie companies’ that just linger.”


• Talent is the differentiator: “Don’t settle for the top 10%. Get the top 0.1%. Two best hires can be worth more than £100m in funding.”


• Focus, focus, focus: “Find your win condition and do nothing else. Avoid shiny distractions- if you win, it’s because you doubled down.”


• The UK has caught up: “You don’t have to move to the US anymore. Capital, talent, and mindset exist here if you assemble the right team.”


• Integrating atoms and bits: “The next 5-10 years belong to startups that bridge digital and physical worlds - think robotics, batteries, sensors, and AI - something Cambridge excels at.”


• Learn by doing: “There are no books. You only learn by scaling, making mistakes, and then helping the next wave go bigger.”












Produced by Cambridge TV

Hosted on Acast. See acast.com/privacy for more information.

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Cambridge Tech Podcast. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support