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

Event

MarTech London: AI Teammates, Automation & the Future of Marketing Operations

Online

Join this event

🎟️ Register / View Event Details

About this event

Join us for the 10th anniversary edition of MarTech London on Wednesday 24 June, as we explore how organisations are using AI teammates and intelligent automation to transform marketing operations, governance, and speed to market.

As AI adoption accelerates, organisations are moving beyond experimentation and embedding AI into day-to-day workflows, from campaign asset generation and request management to approvals, invoice processing, and operational governance.

Guest speakers Georgina King, AI and Process Automation Manager at Quadient, and Jobin Joy, Lead Marketing Technology and Operations at Quadient, will share practical lessons from real-world pilot initiatives focused on streamlining workflows, reducing manual effort, and improving operational visibility through AI-powered automation.

Sponsored by Dexata and Propello Cloud, this session will focus on practical implementation rather than hype, showcasing how AI can drive measurable
efficiencies across marketing and business processes.

Expect practical insights, great conversations with fellow MarTech professionals, plus drinks and nibbles while you network and unwind after work.

What You’ll Learn
During the evening, we’ll explore:

How AI teammates are being applied to real operational workflows
Ways to reduce manual effort and improve speed to market
How AI can support governance, validation, and process consistency
The role of human oversight in AI-assisted workflows
Lessons learned from early-stage pilot implementations and adoption

RSVP now to connect with fellow MarTech professionals and explore how AI teammates and automation are reshaping the future of marketing operations.

Guest Speakers
Georgina King | LinkedIn
AI and Process Automation Manager, Quadient

About Georgina: Georgina King is an AI and Process Automation Manager at Quadient with over 13 years of experience across marketing operations, digital transformation, and process improvement. She specialises in delivering cross-functional automation initiatives that improve operational efficiency, integrate MarTech and business workflows, and support scalable digital transformation programmes.

Jobin Joy | LinkedIn
Lead Marketing Technology and Operations, Quadient

About Jobin: Jobin leads Marketing Technology and Operations at Quadient, where he leads digital marketing technology strategy and operational transformation initiatives. With extensive experience across MarTech, customer experience, and enterprise marketing operations, he specialises in building scalable omnichannel experiences and aligning technology, data, and process to drive measurable business outcomes.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity