DeepRec.ai stands as a specialized recruitment powerhouse at the forefront of Deep Tech talent acquisition, connecting innovative companies with elite technical professionals across Computer Vision, Natural Language Processing, Data Science, Machine Learning, C++, and Blockchain technologies. Founded in 2023 and headquartered in Bishop's Stortford, Hertfordshire, with offices in London, Boston, and Dublin, this boutique agency has rapidly built an impressive community of over 97,000 followers through its precision-focused approach to advanced technology recruitment.
As part of the distinguished Trinnovo Group, DeepRec.ai operates with B Corp certification and Investors in People Platinum status, earning multiple accolades including the 2024 Recruiter Award for Diversity, Equality, and Inclusivity Service Excellence and recognition as one of SIA's Top 100 Europe Staffing Leaders. These achievements reflect the company's commitment to exceptional service and ethical business practices.
DeepRec.ai offers more than traditional recruitment services, providing deep industry knowledge, meaningful connections, and access to pioneering companies pushing technological boundaries. Their specialized consultants understand the unique demands of advanced technology sectors. The Leadership Lab podcast delivers valuable insights from VCs, founders, and innovators. For job seekers, this translates to career opportunities with companies at the cutting edge of technological innovation, supported by recruiters who genuinely understand the Deep Tech landscape and guide professionals toward roles aligned with their expertise and ambitions.

Product Manager opportunity at DeepRec.ai for postgraduate degree holders. Lead AI-driven materials informatics with expertise in ML force-field models, DFT, MD, and materials-informatics workflows.
Product Manager
We are hiring a Product Manager with deep fluency in computational materials science and AI-driven materials design. You will own the roadmap for advanced materials-AI platforms, bridging scientific R&D, ML engineering, and product delivery. The role combines scientific literacy with strong product execution-translating DFT/MD simulations, ML force-field models, and materials-informatics workflows into scalable product capabilities.
Ideal Profile










