Senior TA Operations Specialist

🕒 Junho 11

🏄 California – Remoto

🏄 California – Remote

💵 $104.000 - $147.000 / ano

⏰ Tempo Integral

🟠 Sênior

⚙️ Operações

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GitLab

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2014

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

💰 Secondary Market em 2020-11

Artificial Intelligence • Enterprise • SaaS

O GitLab é uma plataforma completa de DevOps, entregue como uma única aplicação, que transforma fundamentalmente a forma como os times de Desenvolvimento, Segurança e Ops colaboram e desenvolvem software. Da ideia à produção, o GitLab ajuda os times a reduzir o tempo de ciclo de semanas para minutos, diminuir os custos de desenvolvimento e o time to market, ao mesmo tempo em que aumenta a produtividade dos desenvolvedores.

Descrição

• Own the end-to-end configuration of the TA tech stack — including ATS stages, fields, picklists, scorecards, user access, and permissions • Manage all tools configuration, maintenance, and core setup across the technology ecosystem • Own all integrations across the TA stack — including build, monitoring, and incident response when integrations fail; serve as the primary point of escalation for integration errors and outages • Design, build, and deploy end-to-end AI agents and automation workflows for recruiter-facing and enterprise TA use cases • Own automation architecture and workflow mapping across the TA infrastructure layer • Lead AI proposal triage — assessing feasibility, process impact, and candidate experience implications before approvals are granted • Drive prompt engineering, model management, and ongoing performance monitoring for all deployed agents • Lead the TA systems roadmap — owning evaluation, RFPs, and tech stack planning for the TA team • Manage vendor relationships for all TA technologies • Own tools configuration, maintenance, and integrations • Lead legal and security reviews for AI tool proposals in coordination with the ATO and Enterprise AI teams • Develop business cases for new AI tool investments and support Process & Enablement in evaluating non-AI tool needs • Own AI governance framework and policy for the TA function — including bias auditing and fairness reviews for all AI tools and agents • Lead data privacy and security compliance reviews for AI tools in partnership with Legal and Security • Build and deliver AI-specific enablement curriculum and adoption programs for recruiters and TA stakeholders • Author and maintain all AI-specific documentation, playbooks, and SOPs within the TA knowledge library • Contribute AI agent performance data to TA dashboards and own AI performance reporting

🎯 Requisitos

• Demonstrated experience owning and configuring enterprise ATS platforms and HR/TA tech stacks including stages, fields, integrations, and user access management • Hands-on experience building and deploying AI agents or automation workflows in an enterprise environment • Strong understanding of prompt engineering, LLM behavior, and model performance monitoring • Experience managing integrations across platforms — including diagnosing and resolving integration failures • Familiarity with AI governance, bias auditing, and compliance frameworks • A genuine curiosity about emerging recruiting technology — you bring ideas before you're asked • Experience in recruiting operations, HR tech, or a related domain required

🏖️ Benefícios

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave