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ManaMind
Autonomous AI agents that play video games, find bugs, and write QA reports
Last verified August 18, 2026 · Updated daily
What ManaMind is building
ManaMind deploys autonomous AI agents that play video games from scratch, find bugs, and produce detailed QA reports, all without human testers walking through the game manually. The platform is engine-agnostic: it works purely from captured audio and video, no SDK or game engine integration required, which means it runs across Unity, Unreal, proprietary engines, and mobile builds without any framework changes. The agents navigate menus, enter gameplay, collect evidence of bugs, return to document their findings, and hand off structured reports that plug directly into existing QA workflows. The key differentiator is the underlying model. Sabtain Ahmad, the CTO, built a proprietary vision-language model specifically for game environments after testing models from OpenAI, Google, and Anthropic and finding all of them inadequate at understanding or navigating game UIs. In internal tests, his model outperformed all three on bug detection. THQ Nordic is already using the platform in early access.
Why this matters
QA is typically 12% of a game's total production budget. For a AAA title with a $200M budget, that is $24M spent on humans walking into walls. The scale of the problem is not in doubt. What has been missing is a model that actually understands games, not just images. Existing script-based automation tools require the game to be instrumented in advance and break whenever the UI changes. LLM-based computer use agents fail because they were not trained to interpret the visual language of game interfaces, health bars, inventory systems, dialogue trees, physics interactions, and platform-specific UI conventions. ManaMind's bet is that a purpose-built model for game environments, trained specifically to play and reason about games rather than to complete general computer tasks, is the only approach that actually generalises across genres and platforms. The market timing is sharp: the game industry has laid off tens of thousands of QA testers over the past two years. Studios need a credible replacement, and they need one that does not require months of integration work. Engine-agnostic, audio-video-only operation is ManaMind's answer to the integration problem.
Open roles at ManaMind
3 positions we're tracking. Roles are re-checked daily and removed when filled.
Know when ManaMind is hiring before anyone else
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $9/month, cancel any time.
Watching ManaMind
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+Hiring outlook
Very High. Three roles posted on the careers page today, all requiring cold emails. No ATS, no LinkedIn jobs, no aggregator pickup. Fresh capital, live customer, and a founding team that has explicitly built three roles around the product's two core technical layers and one founder-adjacent commercial seat.
Working at ManaMind
ManaMind: Autonomous AI agents that play video games, find bugs, and write QA reports. Founded , currently employees. What this means for you: opportunity to shape your role based on the company stage.
Most ManaMind jobs are based in London.
How to actually get hired at ManaMind
Why applying the normal way doesn't work
ManaMind has an ATS but the real pipeline is referrals → sourced → recruiter picks → cold apps. You can still get through, but know where you stand.
Who to contact at ManaMind
What to show them
Build the vision-language model layer: raw gameplay video in, real-time understanding out, so autonomous agents can see, reason, and play. This is Sabtain's direct hire. Core skills: Vision-language models, video understanding, real-time inference, PyTorch or JAX, game environment perception, model fine-tuning for domain-specific tasks, evaluation design for non-standard outputs. Proof of work: Take any publicly released game footage (YouTube game walkthroughs work) and build a minimal pipeline that detects a specific game state: health bar below 20%, menu open, or a UI element appearing on screen. Document how your detection approach generalises across two different games. Publish the code and a write-up on what broke between the two.
A cold email that works at ManaMind
What ManaMind screens for
Sure Valley Ventures is the most important investor signal. They are a UK and Ireland-focused VC that has backed AI software companies since 2017, specifically in the UK market. Their portfolio is concentrated in applied AI products with real enterprise customers, and they are known for pushing portfolio companies hard on commercial traction and customer expansion in the immediate months post-funding. Three live roles posted the same day as the funding announcement is the operational signal: this team has been planning these hires for weeks and is moving immediately. EWOR's participation is equally revealing. EWOR is a fellowship with a 0.01% acceptance rate that backs what it calls "outlier founders" and explicitly values unconventional backgrounds and high-speed execution. Emil is an EWOR Fellow himself, so their investment is a peer endorsement as much as a financial one. EWOR's involvement signals the wider European founder and investor network will be watching this company, which creates urgency: the window before this team has warm inbounds from that network is narrow. Heartfelt Capital investor Imti Basharat was quoted in the prior press coverage noting the agents' ability to operate in unfamiliar digital environments, and flagged expansion beyond gaming as a foundation for the long-term thesis. That is a signal about what the investors expect ManaMind to prove first: that the perception and reasoning stack generalises. Every hire they make now is building toward that proof. Three live roles, all cold email only. The application emails go to mo@mbnsolutions.com with the subject line format specified on the careers page. The Founder's Associate role has a Google Form: docs.google.com/forms/d/e/1FAIpQLScIoDuDsO84LS68lh4LDaQ15EsDOKMkerrXBgp3jKXfwpusIw/viewform
Don't send a generic CV to ManaMind. Mirror the job posting's language to get past automated screening.
Don't make these mistakes
Saying you love gaming. Every applicant will say that. ManaMind is not hiring gaming enthusiasts. It is hiring people who understand vision models, agent architectures, and enterprise QA workflows. Lead with what you have built, not what you play.
Mistakes that kill ManaMind applications
At people, a copy-paste CV is immediately obvious. It's an instant no.
Nobody cares what you want. Start with QA is typically 12% of a game's total production budget and how you'd help.
Don't apply and wait. The median AI application gets no response ever. One follow-up at day five roughly doubles reply rates.
Applying to ManaMind? Get the contact, not the form.
The ManaMind interview process
4 stages · 14 days typical · take-home: yes · modelled from similar companies
We don't yet have verified candidate reports for ManaMind. What follows is the typical process for a -person AI company — treat it as a model, not confirmed detail.
Interview stages
Recruiter Screen
Phone or video · 30 min
Basic qualification and logistics
Recruiter or HR
Hiring Manager Interview
Video call · 45 min
Role fit and experience deep-dive
Hiring manager
Technical/Functional Round
Video call · 60 min
Skills assessment and problem-solving
Team members
Final Round
In-person or video · 60 min
Culture fit and cross-functional alignment
Senior leadership
ManaMind take-home assignment
ManaMind includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.
ManaMind interview timeline
At days, ManaMind's process is about average than typical for AI (14 days at this size).
Interviewed at ManaMind?
Tell us how it went — stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
Submit your ManaMind interview experience →ManaMind jobs, frequently asked questions
How many jobs does ManaMind have open?
ManaMind currently has 3 open roles, last verified April 2026.
Does ManaMind hire remotely?
All current ManaMind roles are based in London.
What roles is ManaMind hiring for?
ManaMind is hiring across Engineering, Other. The most recent opening is Founding AI Engineer.
How do I apply for a job at ManaMind?
Apply directly through the links above, or read our guide on how to actually get hired at ManaMind.
Does ManaMind respond to cold emails?
We're still collecting cold email data for ManaMind.
Who is the hiring manager at ManaMind?
At this size, hiring is usually run by the hiring manager.
How competitive is it to get hired at ManaMind?
-person AI companies see ~100-250 applicants per role in two weeks. The 72-hour window is your advantage.
How many rounds is the ManaMind interview?
4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.
Is the ManaMind interview hard?
It concentrates on technical depth and system design rather than abstract puzzles. The stage candidates find hardest is Technical Interview.
Does ManaMind give a take-home task?
Yes, ManaMind includes a take-home assignment.
How long does ManaMind take to get back to you?
Around 14 days across the full process.
What should I prepare for the ManaMind interview?
Prepare for technical depth and system design. A -person startup wants proof you can ship, not that you can whiteboard.
Where is ManaMind based?
ManaMind is headquartered in London, US.
Get ManaMind roles before they're posted
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $9/month, cancel any time.
Watching ManaMind
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+