Product Manager - Especialista I (Tech Colaborador)

New

JobgetherRecruitment technology

Based in BrazilFull-Time

Salary not disclosed

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Job Details

Demonstrated experience in Digital Product Management, ideally with a pragmatic, execution-focused PM Builder mindset.
Ability to independently turn ideas into functional MVPs.
Practical experience developing solutions and automations using low-code/no-code ecosystems and scripting languages.
Hands-on experience applying Artificial Intelligence to operational efficiency and product productivity.
Experience with generative AI tools, structured prompting, AI-powered automation, or AI agents.
Practical knowledge of People Science platforms and methodologies, including predictive assessments, cultural fit evaluations, and behavioral or cognitive testing.
Strong analytical and diagnostic capabilities, including interpreting recruitment funnel metrics and connecting data insights to product decisions.
Interpersonal, communication, and relationship-building skills.
Ability to collaborate across business functions and manage stakeholders at multiple organizational levels.
Ability to align priorities, navigate different perspectives, and build consensus among business and technical teams.
Practical knowledge of consuming and structuring APIs and webhooks is a nice to have.
Understanding of recruitment governance and compliance, including Brazil's LGPD, cybersecurity, and confidential candidate information, is a nice to have.
Functional expertise with enterprise-scale Applicant Tracking Systems for high-volume recruitment is a nice to have.

Lead the strategy, maintenance, and continuous evolution of digital products supporting corporate and strategic talent acquisition.
Oversee the governance, lifecycle, and configuration of the corporate Applicant Tracking System (ATS).
Design and optimize candidate screening criteria, recruitment stages, onboarding workflows, and integrations with assessment tools.
Build and maintain lightweight solutions, MVPs, and automated workflows using low-code/no-code platforms and productivity tools.
Prototype solutions and validate product hypotheses without relying exclusively on complex engineering delivery processes.
Identify and implement generative and predictive AI applications for candidate screening, job description generation, candidate matching, and candidate communications.
Monitor recruitment funnel performance using Time-to-Fill, SLAs, conversion rates, recruitment costs, and diversity indicators.
Translate performance data into actionable insights, corrective initiatives, and evidence-based backlog priorities.
Partner with Talent Acquisition leaders, Business Partners, and Data and Engineering teams to align processes, technology priorities, and product roadmaps.
Build stakeholder relationships, establish priorities, resolve competing needs, and drive consensus.

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