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Sergey Dmitrichenko

CEO/Founder
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Professional Overview



Sergey Dmitrichenko is the CEO and Co-founder of AmazingHiring Global, a Redwood City, CA-based company specializing in AI-powered sourcing technology designed to streamline technical recruiting efforts. He is based in Dubai, United Arab Emirates and communicates professionally in English.

Sergey co-founded AmazingHiring after an extensive career in tech recruitment, which began in 2006 following his graduation from Bauman Moscow State Technical University, a prominent Russian technical university. His educational background in a top-tier technical institution provides a strong foundation relevant to the tech industry and recruitment innovation.

Role and Responsibilities



As CEO and Co-founder, Sergey Dmitrichenko leads the strategic direction and ongoing growth of AmazingHiring, positioning it as a leading platform in technical talent sourcing. His role encompasses leadership over product innovation, business development, and customer acquisition initiatives. Sergey has public visibility and significant influence within the talent acquisition community, reflected by:

  • Over 13,000 LinkedIn followers.

  • A professional network exceeding 500+ connections.

  • Recognition as a global Talent Acquisition leader, including features in respected industry forums.


Company Performance and Market Position



AmazingHiring operates an AI-driven sourcing platform that aggregates over 600 million technical candidate profiles from more than 50 online sources, including key social and professional networks such as GitHub, StackOverflow, and Kaggle. The platform enables technical recruiters to:

  • Identify highly relevant technical talent efficiently.

  • Automate candidate outreach with personalized campaigns that reportedly improve engagement by 60%.

  • Access comprehensive candidate insights, reducing time-to-hire significantly.


In 2024, AmazingHiring achieved a financial milestone, generating $2.8 million in annual revenue and acquiring 25,000 customers worldwide. The company has previously raised $1 million in funding, which reflects investor confidence in their sustainable growth and market demand.

AmazingHiring’s usability and effectiveness have been positively corroborated by customers in Fortune 500 companies and tech startups, highlighting features such as smart search filters and multi-platform candidate sourcing, which support hiring KPIs related to hard-to-fill technical positions.

Industry Relevance and Public Presence



Sergey Dmitrichenko frequently shares industry insights and actively participates in talent acquisition discussions:

  • He is recognized among global TA leaders and has been featured in venues such as GoodTime's Hall of Fame in Times Square.

  • Sergey advocates for integrating AI technology in recruitment processes and experimenting with innovative sourcing pipelines to improve hiring efficiency.

  • He engages publicly through LinkedIn posts and interviews that emphasize trends in tech recruitment and data-driven hiring strategies.


Additional Context



  • Prior to AmazingHiring, Sergey held leadership roles in tech recruitment and founded a recruitment agency (GMS Services), further solidifying his expertise in the niche.

  • The platform developed under his leadership is utilized globally, underscoring his expertise in scaling recruitment technology solutions to diverse markets.

  • Sergey’s leadership in AmazingHiring is supported by a well-structured team and technology infrastructure, including a free Chrome Extension that accelerates sourcing workflows.





This profile positions Sergey Dmitrichenko as a seasoned executive with profound expertise in technical talent acquisition technology, leading a financially successful and globally recognized AI sourcing platform. His background and current role underscore a strategic focus on leveraging data and automation to disrupt traditional recruitment methodologies, appealing particularly to clients seeking advanced tools for sourcing and engaging technical professionals at scale.
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