Senior TA Operations Specialist

🕒 il y a 1 mois

🏄 California – Distant

🏄 California – Remote

💵 $104 000 - $147 000 / an

⏰ Temps Plein

🟠 Senior

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GitLab

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2014

💼 Conseil

📣 Marketing

🤖 Intelligence artificielle

💰 Secondary Market en 2020-11

Consulting • Marketing • Artificial Intelligence

GitLab est une plateforme DevOps complète, proposée sous la forme d’une application unique, qui change en profondeur la manière dont les équipes Développement, Sécurité et Ops collaborent et construisent des logiciels. De l’idée à la production, GitLab aide les équipes à réduire le temps de cycle de plusieurs semaines à quelques minutes, à diminuer les coûts de développement et le time to market, tout en augmentant la productivité des développeurs.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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