
ama is an AI-powered talent discovery engine that helps companies build expert teams faster and smarter. It analyzes thousands of profiles to identify candidates based on skills, motivation, and…

ama is an AI-powered talent discovery engine that helps companies build expert teams faster and smarter. It analyzes thousands of profiles to identify candidates based on skills, motivation, and…
What they do: AI-powered talent discovery and executive-search platform (heyama.ai)
Headquarters: Berlin, Germany
Founders / leadership: Christian Angele (Co‑founder, CEO) and Pavel Möritz (Co‑founder, Product)
Founded: 2024
Investors / partners: HTGF, AvS International, Perlentaucher; individual backers listed
Recruiting / talent discovery; HR technology to improve candidate sourcing and evaluation.
2024
Administrative Services
536835
“Backed by HTGF, AvS International, Perlentaucher; individual backers include Andreas von Specht, Stefan Menden, Martina van Hettinga”
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About ama
Hiring is one of the most important decisions companies make — and one of the most broken. Companies spend millions on recruiting, yet still rely on expensive intermediaries, fragmented tools, and gut feeling. Roles stay unfilled for months, mis-hires are common, bias creeps in, and hiring mistakes become incredibly costly at scale.
We started ama to change that.
We are building an AI agent for talent that helps companies truly understand whom they need and objectively assess who fits — based on skills, likelihood to respond, and context, not stereotypes. Instead of automating broken processes, we rethink hiring from first principles and bring world-class headhunter quality to every hire, at enterprise scale.
Founded in 2024, ama raised €2M+ in funding and started customer pilots in mid-2025. Since then, we’ve moved from beta pilots into enterprise expansion, closing our first six-figure ACV enterprise deals. Today, we are building for the enterprise market and scaling a product that is already solving real, high-stakes hiring problems for our customers.
What you will do
Design, test, and implement AI-driven product features using structured prompt engineering, Python scripting, and LLM tooling
Use low-code platforms (e.g. Lovable), coding agents, and rapid prototyping techniques to validate product ideas quickly
Set up evaluations, test different prompts and model behaviors, analyze results, and iteratively improve quality
Collaborate closely with product and commercial teams, incorporating real customer feedback into product improvements
What makes you a great fit
Why you will love working here
Practical details
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