Stockholm-based Fika Jobs secures $4M in pre-seed funding to replace traditional resumes with short, AI-conducted video candidate profiles.
The traditional corporate hiring process has long been criticized as an opaque, grueling chore for both job seekers and human resource departments. Candidates spend hours tailoring cover letters and optimizing resumes for automated Applicant Tracking Systems (ATS), only for their applications to vanish into an algorithmic black hole. On June 23, 2026, Stockholm-based startup Fika Jobs announced a $4 million pre-seed funding round to fundamentally dismantle this paper-based status quo, replacing static text applications with autonomous, video-first AI interviews.
The funding round was led by Luminar Ventures, with strong participation from Alliance VC and iconic Nordic gaming pioneers Sebastian Knutsson and Riccardo Zacconi, the co-founders of King and the creators of Candy Crush. The fresh capital will be used to scale the company’s internal engineering team and prepare for a broad public marketplace launch in northern Europe later this year.
Conversation Over Paperwork
Named after the beloved Swedish tradition of fika, a social coffee break centered around casual conversation, the platform was conceived by brother-duo Jakob Dubois (CEO) and Alexander Dubois (CTO). The founders realized that traditional text applications completely mask a candidate’s communication style, grit, and emotional intelligence.
Instead of filling out form fields, a job seeker syncs their basic professional background via LinkedIn. Fika Jobs’ underlying engine then leverages Google’s Gemini foundation models to generate a highly customized list of interview questions tailored to that individual’s career path.
The application workflow operates through a highly automated, candidate-centric framework:
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The Autonomous Screening: The applicant participates in a roughly 10-minute video conversation with an interactive AI interview agent.
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Automated Video Curation: Rather than forcing recruiters to watch raw footage, Fika’s software automatically edits the candidate’s answers into clean, discoverable short-form video clips categorized by core skills, values, and ambitions.
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The Live Talent Pool: Instead of applying to individual job openings one by one, candidates maintain this live, interactive video profile. Employers browse the pre-evaluated talent pool as new corporate roles open up.
“Candidates need a new way to stand out, through personal AI video conversations,” stated CEO Jakob Dubois in a feature. “That’s why we are building Fika Jobs.”
Mitigating Bias While Disruption Pricing
Shifting the initial hiring gate to video naturally introduces major concerns regarding visual and auditory discrimination. To address these systemic risks, Fika Jobs strips out and anonymizes data indicators like age, gender, and ethnicity during the initial employer matching phase. By putting the conversational AI layer on the front line, the platform aims to provide early-career professionals and non-traditional candidates an immediate stage to demonstrate their communication skills before their resume can be filtered out by a rigid keyword scanner.
The startup is also introducing an aggressive pricing strategy to challenge legacy corporate recruiters. Job seekers access the video tools entirely for free. Meanwhile, employers pay nothing upfront to post positions or browse the network. Upon a successful hire, Fika Jobs charges a flat 10% fee of the candidate’s first-year base salary. This flat rate severely undercuts traditional headhunters, who typically extract 20% to 30% placement premiums.
Early validation indicates high enterprise interest. More than 50 companies, including tech firms like Plenty Labs, Rebtel, Kognity, and SICS.ai, have successfully piloted the software, with an additional waitlist of over 100 corporations holding for the platform’s broader autumn rollout. As venture capital consistently targets human capital management, Fika Jobs is betting that the future of talent acquisition belongs to bite-sized media and automated machine dialogue.
About the Author
Jennifer Sakmufuwo Baba is a tech analyst and writer covering artificial intelligence, fintech, and emerging technologies at TechRegard. Based in Nigeria, she's passionate about translating complex tech developments into compelling, accessible stories for diverse audiences. Her work focuses on how technology shapes innovation across Africa and globally.
