Sebastian Scott, Co-Founder and CEO of Clera, a talent agent that introduces top tech professionals to startup roles joins Enterprise Radio.
Listen to host Eric Dye & guest Sebastian Scott discuss the following:
- You work to eliminate current barriers across the job market. What are some of the most persistent gaps you’ve observed?
- There seems to be an expansion of tools meant to optimize job searching, yet outcomes for candidates only seem to get worse. Where do you think the system is breaking down?
- Hiring today often feels like an isolated process with little feedback and a high rate of “ghosting.” How do you think employers can make this experience more personalized and trustful?
- AI is becoming the next frontier in this space. In your opinion, how do you think AI is going to reshape the industry? Do you anticipate any hurdles?
- Where do you hope to see the job market/job search process go in the next 5 years?
Sebastian Scott is CEO of Clera, where he leads strategy, fundraising, and go-to-market. In under a year, he has grown Clera to 60,000+ represented professionals, and 500+ startup clients – building both sides of the marketplace simultaneously while driving 40%+ month-over-month revenue growth. He personally onboarded the first 100+ startup clients and established the success-fee model that converts 95% of founders on the first sales call. He closed Clera’s $3M pre-seed from 1984 Ventures, Deel Ventures, and angels from OpenAI, Linkedin, HeyJobs and scouts from Sequoia and EQT.
Sebastian’s career is a pattern: he keeps solving the same problem — matching the right people to the right opportunity — with increasingly powerful technology. At 17, he founded his first company. He then built naklar.io, an on-demand tutoring platform that matched students with tutors across the German-speaking world, scaling to 15,000+ users with partnerships including the Saxon Ministry of Education. Next, he built AI agent systems that matched German manufacturers with the right automation solutions through Blona. Now he’s applying that same pattern recognition to the biggest matching problem of all: careers.
He studied at TUM, Columbia University, and Tsinghua University. He is a Sigma Squared Society Fellow, and a former competitive chess player who still thinks in systems and multi-move sequences.
Website: https://www.getclera.com
Linkedin: https://www.linkedin.com/company/getclera
People also listened to this: The Practical Path to Enterprise AI Success
Podcast: Play in new window | Download (Duration: 11:24 — 10.4MB) | Embed
Subscribe: Apple Podcasts | Spotify | iHeartRadio | TuneIn | RSS | More
