Sr. Technical Talent Acquisition Specialist InCommon

2.0 - 6.0 years

0 Lacs

pune, maharashtra

On-site

Hiring is one of the most crucial tasks for any company as the individuals you bring on board play a significant role in shaping the long-term success and sustainability of the organization. However, the traditional hiring process is often flawed at its core. With the advancement of Language Model Models (LLMs), there is a unique opportunity to revolutionize the hiring process. It is not merely about automating recruitment but rather reimagining how we identify exceptional talent, gather comprehensive insights about the role, the team, and the company, and align individuals with meaningful missions. Moreover, the focus is on achieving these objectives at a large scale. The ideal candidate for this role should be enthusiastic about co-creating this future vision with the team at InCommon. InCommon, established in 2023 and supported by Better Capital, specializes in assisting global companies in building exceptional teams in India. The organization values transparency, authenticity, and providing exceptional experiences to both clients and talent partners. The primary mission of InCommon is to connect India's top talent with impactful and fulfilling career opportunities. The founders of InCommon, Piyush Kedia and Roshan Shetty, are experienced entrepreneurs who have successfully developed and expanded service-oriented businesses. After a profitable initial phase, the company is now in a phase of rapid growth, collaborating closely with private equity-backed and Series B+ companies worldwide to help them establish top-tier teams in India. The role entails taking responsibility for end-to-end recruitment processes for technical positions in both India and the United States. This involves translating vague requirements into precise search criteria, establishing efficient pipelines to attract high-caliber candidates, collaborating with leadership on role definition and interview strategies, and executing well-structured recruitment processes from sourcing to final selection. Leveraging LLMs and innovative tools is essential to expedite research, screening, and documentation processes. Continuous evaluation and enhancement of the recruitment system based on performance metrics are also key aspects of the role. The ideal candidate should possess the following attributes: - Strong technical background: Degree in Computer Engineering / Computer Science (CSE) and ability to analyze engineering resumes effectively. - Proficiency in AI: Comfortable using LLMs and AI tools for sourcing, screening, and decision-making, staying updated on AI's impact on technical roles. - High talent standards: Ability to differentiate exceptional candidates from average performers and uphold recruitment standards. - Strategic sourcing skills: Designing comprehensive sourcing strategies, market analysis, and maintaining talent pools. - Evaluation expertise: Developing clear evaluation criteria, conducting structured interviews, and identifying key insights. - Negotiation skills: Managing compensation discussions, assessing risks, and motivating candidates effectively. - Operational efficiency: Working efficiently, documenting processes, managing stakeholders, and maintaining a steady candidate pipeline. - Systems thinking: Automating repetitive tasks, utilizing LLMs for efficiency, and leaving behind valuable resources for others. - Trustworthy relationships: Establishing honest connections with candidates and partners, ensuring confidentiality, and maintaining clear communication channels.,

Posted 4 days ago

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