How does DevFound's AI job matching 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.

Is AI job searching better than traditional methods?

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.

What skills are needed for AI and ML jobs?

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.

How do I get matched with AI jobs faster?

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.

What locations have the most AI job opportunities?

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.

Can DevFound's AI help with remote AI jobs?

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.

devfound

Try for free

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

20VC: Inside Coatue's $7BN Growth Fund: Why Price Matters Least | Why Mega Markets are the Most Important | How Mega Funds Can Still Do 5x Returns | How to Assess Durability of Revenue and Margins in AI with Lucas Swisher

23 February 2026 1:06:43 Harry Stebbings

Listen to episode

About this episode

Lucas Swisher co-leads the growth fund at Coatue where he has partnered with iconic companies like OpenAI, Harvey, Deel, Canva, Openevidence, Anthropic, and others. Prior to Coatue, he was on the investment team at Kleiner Perkins, where he focused on growth stage software businesses.

AGENDA:

04:23 Why Public SaaS Is Getting Crushed in the AI Wave

06:01 How to Find Value in the Deluge of Public SaaS

10:34 Durability of Revenue in AI

17:42 Market Size vs. Founder Quality: What Wins?

19:04 Why Price is the Last Thing to Matter

24:58 Mega-Funds Math: Can $5B+ Funds Still Generate Venture Returns?

28:04 What Returns Are 'Enough'? Why 3x Isn't Exciting at Growth

30:34 When Double-Downs Go Wrong: Overestimating TAM and Multi-Product Expansion

33:03 Margin Matters… But at Scale: AI Gross Margins, Cost Curves & Efficiency

36:42 Why it has never been harder to be a seed investor

39:25 Is 'Kingmaking' a Myth: When Capital Helps (and When It Hurts)

44:12 Is Canva Really a Platform Company? Multi S-Curves and Leaning into AI Early

46:05 Lessons from Mary Meeker: Modeling, Storytelling with Data, and Not Missing the Forest

48:27 Lessons from Mamoon Hamid: Spotting Inflection Points with Minimal Data (Figma Story)

49:54 LP 'Pick One' Games: Mamoon Hamid, Mary Meeker, Insight Partners

51:41 OpenAI vs Anthropic: Who Wins?

56:52 Most Memorable Founder Meeting: Harvey and Founder-Market Fit

59:00 Career Decisions & Misses: Leaving Insight, Missing Anduril, and Looking Ahead

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity