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Company Description
Taleio Search Partners (TSP) is a boutique recruitment firm that delivers executive search rigor to every direct-hire engagement, blending retained and contingent models to help companies fill missioncritical roles without slowing growth. Grounded in the core principles of discipline, integrity, and innovation, TSP provides tailored, hightouch solutions that fit each clients unique hiring process, culture, and pace. While capable of supporting organizations across many verticals, the firms deepest expertise sits at the intersection of software, hardware, and AI, covering senior, staff, and above across key disciplines. In software, TSP recruits backend and frontend engineers, infrastructure/DevOps/cloud specialists, security engineers, and QA/test professionals. On the hardware side, the team focuses on electrical, mechanical, quality, embedded, and design engineering. Within AI, they support data scientists, machine learning engineers and scientists, AI researchers, and ML Ops talent. Clients partner with TSP for an ethicsdriven, outcomefocused approach that emphasizes dramatically reduced time to hire, clear process and status reporting, cost efficiency, and an ability to supplement ATS activity with targeted market outreach. The firm operates as a partner beyond standard guarantees, maintaining afterplacement support to ensure longterm fit and performance. Candidates benefit from expertguided job searches, transparent communication, resume refinement, interview and offer negotiation support, and a commitment to serve as a lasting resource throughout their careers. As a small, agile team of passionate recruitment consultants, TSP prioritizes effort, expertise, and accountability, working relentlessly to align highcaliber engineering and data talent with the highimpact roles that drive product velocity and business outcomes. By applying executive search discipline to every assignment and customizing each search to the nuances of the role, team, and market, TSP enables clients to hire decisively and confidently across software, hardware, and AI engineering functions.
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