

Global tech recruitment for startups hiring in AI, SaaS, FinTech, and Web3
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OnHires is a global tech recruitment agency that helps startups and scaling companies hire senior and hard to find talent across AI, SaaS, FinTech, and Web3. We support companies with technical hiring, executive search, and fast, targeted recruitment for roles that are difficult to close through traditional channels. Our team works across product, engineering, data, design, marketing, and business functions, helping clients find candidates who match both the role and the company’s growth stage. What sets us apart is our strong focus on modern tech markets, deep understanding of hiring needs in fast moving companies, and a practical, partnership driven approach. We do not just send resumes. We help build the hiring process, align on the ideal candidate profile, communicate with stakeholders, and move quickly without sacrificing quality. Whether you need one critical hire or ongoing recruiting support, OnHires helps you hire with more clarity, speed, and confidence.
| Name | Title |
|---|---|
| Victoria Ihnatieva | HRD |
| Vasyl Grygorovych | CEO |
It-Jim is an R&D company focused on developing advanced AI solutions, including computer vision, machine learning, and augmented reality technologies. The company works across industries, helping businesses solve complex problems related to image, signal, and video analysis. Hiring for AI-focused R&D companies requires candidates who understand both technical processes and project delivery frameworks. It-Jim needed to find project managers capable of working closely with engineering teams while also managing timelines, expectations, and client communication. At the same time, the market for experienced technical project managers with AI exposure is limited, especially in competitive regions. OnHires implemented a recruitment strategy tailored to AI and R&D environments. We started with role calibration sessions to clearly define expectations for each position. For the Technical Project Manager role, focus was placed on understanding AI workflows and working closely with engineering teams. For the Project Manager role, emphasis was on delivery management, communication, and coordination. Targeted sourcing pipelines were launched across regional and international talent markets, supported by structured hiring workflows and regular syncs with the client team.
WhiteBIT is a European cryptocurrency exchange offering a wide range of trading services, including spot, margin, and futures trading across hundreds of digital assets. The platform serves both retail and institutional users, focusing on security, liquidity, and product scalability. Background Operating a crypto exchange requires a balance between technical infrastructure, product development, and business growth. As WhiteBIT expanded its platform and user base, it needed to strengthen both engineering capabilities and commercial functions. This required hiring professionals who could operate in a fast-paced environment while understanding the dynamics of trading platforms and user behavior. Challenges Hiring in the crypto exchange space is highly competitive. Engineers with relevant experience are limited, and business professionals who understand both crypto markets and growth strategy are even harder to find. At the same time, WhiteBIT needed to scale across both technical and business roles simultaneously, which required alignment across multiple teams and stakeholders. Solution OnHires introduced a structured recruitment framework tailored to crypto exchanges and trading platforms. We began with role calibration sessions to clearly define expectations for both technical and business roles. For engineering positions, the focus was on system performance and reliability. For business roles, we evaluated market understanding, partnerships, and growth potential. Dedicated sourcing pipelines were launched across crypto, fintech, and tech talent markets. Weekly hiring operations ensured consistent communication and fast feedback loops.
Liquidity Connect provides ultra low latency trading infrastructure and VPS hosting for brokers and traders operating in global FX and capital markets. The company focuses on delivering high performance infrastructure designed to support algorithmic trading and latency sensitive financial operations. Background Infrastructure companies in the trading industry require engineers who understand both distributed systems and the specific performance demands of financial markets. As Liquidity Connect expanded its platform capabilities, it needed to strengthen both its technical infrastructure team and executive leadership. Challenges Hiring in the low latency trading space is particularly challenging due to the small pool of engineers experienced in network automation and financial infrastructure. Additionally, the company required both executive leadership and senior technical expertise simultaneously.
Wild.Codes is a global marketplace connecting companies with pre-vetted remote developers across multiple technical stacks and industries. The platform focuses on improving hiring transparency, quality standards, and working conditions for developers while helping companies access specialized technical expertise worldwide. As enterprise demand for highly specialized SAP and data architecture roles increased, Wild.Codes needed to scale its ability to attract and place senior technical professionals in a competitive global market. Background Operating a remote developer marketplace requires more than sourcing candidates. It demands deep understanding of enterprise hiring standards, niche technical stacks, and the expectations of both clients and senior engineers. Wild.Codes was expanding into complex enterprise segments, including SAP ecosystems and data architecture roles. These positions required candidates with rare skill combinations and strong domain credibility. To maintain marketplace quality and client trust, hiring had to be both fast and precise. Challenges When Wild.Codes engaged OnHires, the hiring environment was shaped by two major forces: increasing enterprise demand for SAP expertise and the global competition for senior remote talent. The company needed to fill highly specialized roles such as SAP BW developers and HANA solution architects while maintaining strict vetting standards. At the same time, hiring processes had to remain aligned with remote-first workflows and distributed stakeholders across regions. Speed alone was not enough. Precision, technical validation, and stakeholder alignment were critical.
Voltai is a technology company operating at the intersection of artificial intelligence and semiconductor innovation. The company develops frontier AI models and agentic systems designed to accelerate semiconductor manufacturing, electronics design, automotive systems, industrial automation, and consumer electronics. Voltai works with major semiconductor companies and electronics manufacturers across Europe, Asia, and the United States. As the company expanded its research and engineering capabilities, scaling highly specialized AI talent became a critical priority to support long-term product and innovation goals. Background Building advanced AI systems for semiconductor and electronics innovation requires more than strong technical foundations. Voltai’s growth depended on assembling teams capable of operating at the frontier of machine learning research while maintaining close alignment with product, engineering, and business stakeholders. As Voltai expanded across regions, leadership needed a hiring approach that could support rapid growth without compromising technical depth, collaboration standards, or security requirements. The challenge was not only hiring quickly, but hiring right across multiple highly specialized roles. Challenges When Voltai partnered with OnHires, the hiring challenge extended far beyond filling individual positions. The company was hiring in an extremely competitive global market for semiconductor AI talent, while running multiple hiring tracks in parallel across engineering and research functions. Decision-making was distributed across regions, requiring clarity, alignment, and consistent evaluation standards. At the same time, Voltai needed a predictable and scalable hiring process that could move fast while sending clear signals to candidates about expectations, impact, and technical depth.
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