Our Take
The platform solves a real recruiting pain point (gut-feel hires outperform resume screens) but introduces a worse one: video-based screening that exposes protected characteristics like race, age, and accent to hiring bias.
Why it matters
Hiring platforms are consolidating around AI-assisted screening, but Fika inverts the typical model by having candidates build persistent profiles rather than applying per role. For job seekers, this reduces application fatigue; for employers, it shifts the bias surface from written word to visible presence.
Do this week
Recruiters: review your platform's blind-screening controls before adopting video-first hiring; audit whether your AI agent design (question phrasing, tone, pacing) introduces demographic variance in candidate scoring.
Fika Jobs closes $4M to launch video interviewing platform
Fika Jobs, a Stockholm-based startup, announced a $4 million pre-seed round led by Luminar Ventures, with participation from Alliance VC and King co-founders Sebastian Knutsson and Riccardo Zacconi. The company is building a video-first hiring platform that combines AI interview agents with short-form video profiles, designed to sit between LinkedIn and job application flows.
The workflow begins when a candidate connects their LinkedIn profile. Fika's AI, currently powered by Google's Gemini, reviews the background and generates personalized interview questions. Candidates complete a roughly 10-minute video interview, after which Fika automatically clips responses and organizes them into a live profile. Rather than applying to individual roles, candidates maintain a persistent profile that employers can discover and revisit.
The platform launches in early access to candidates this week, with a public launch planned for fall 2026. It will initially focus on Sweden before expanding internationally. More than 50 companies have tested the platform, including Plenty Labs, SICS.ai, Kognity, and Rebtel. The company reports more than 100 employers on its waitlist, though did not name them.
Fika charges job seekers nothing. Employers pay 10% of a candidate's first-year salary on a successful hire (company-reported), compared to the 20% to 30% placement fees charged by traditional recruiters.
Resumes hide as much as they reveal
Co-founders Jakob Dubois (CEO) and Alexander Dubois (CTO) arrived at this problem while recruiting for their previous social app, Gaff. They nearly passed on a candidate whose resume didn't stand out but whose "grit, drive, and ambition became obvious" in conversation. The founders concluded that some traits employers value most are difficult to capture on paper.
Fika's model could help employers surface communication skills and cultural fit early, particularly for early-career professionals and candidates from non-traditional backgrounds whose potential may not be apparent from a resume alone.
The tradeoff is significant: video profiles expose what resumes conceal. When employers see a candidate's race, age, gender, physical appearance, and accent before evaluating qualifications, the door opens to discrimination that a resume, for all its flaws, partially obscures. The article notes that some companies have moved toward blind resume screening to reduce exactly this risk. Fika's design inverts that principle.
Audit your screening surface before you switch
If you are evaluating or building video-first hiring, scrutinize three dimensions: (1) Question consistency across candidates. Does the AI agent ask the same questions in the same order, or does it adapt in ways that introduce demographic variance? (2) Scoring transparency. Can you inspect how the AI weights communication style, fluency, accent, or pacing? (3) Blind review option. Can hiring teams evaluate clips without seeing faces or hearing audio, or is video identification baked into the product?
The platform's revenue model (success-based commission rather than subscription) aligns incentives with placements, but it also means Fika has no upside if it filters out qualified candidates. Monitor whether the platform's definition of "fit" converges on demographic homogeneity over time.