Trust & Safety Product Manager – AI Technology

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🕒 Outubro 16

🇵🇹 Portugal – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

✅ Gerente de Produto

👻 Score fantasma 35%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 28 dias.
• 55 vagas abertas para uma equipe de 32 pessoas.
• Sem salário divulgado.

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Workster

SiteLinkedInTodas as Vagas

11 - 50 funcionários

💼 Consultoria

📦 Logística

📣 Marketing

Consulting • Logistics • Marketing

A Workster é uma plataforma de recrutamento focada em conectar candidatos a diversas oportunidades de emprego em vários setores. Com um compromisso em impulsionar carreiras internacionais, a Workster faz parcerias com empresas líderes em setores como tecnologia, atendimento ao cliente e terceirização de processos de negócios para ajudar indivíduos a encontrar sua próxima grande movimentação de carreira. A plataforma enfatiza o suporte multilíngue e opções de trabalho remoto, atendendo a uma força de trabalho global.

Descrição

• Define and deliver the product strategy and roadmap for Trust & Safety capabilities across AI-powered products and services • Translate user, business, policy and regulatory needs into clear product requirements, priorities and success measures • Partner with engineering, data science, research and design teams to develop safety tools, workflows and platform features • Identify and assess risks related to AI-generated content, misuse, harmful behaviour, privacy and model performance • Develop product approaches for content moderation, detection, reporting, escalation and enforcement • Use quantitative data, user research and operational insights to identify safety gaps and inform product decisions • Define and monitor metrics for safety, product quality and operational effectiveness, using findings to guide improvements • Work with Trust & Safety operations to understand review processes, case trends and opportunities for automation • Collaborate with legal, policy, compliance and security teams to support responsible product development and regulatory readiness • Evaluate AI systems and safety interventions, including their effectiveness, limitations and potential unintended consequences • Manage product launches, communications and change processes, ensuring teams are prepared to support new features • Communicate priorities, product decisions and progress clearly to stakeholders across the organisation • Keep up to date with developments in AI safety, online harms, Trust & Safety practices and relevant regulation

🎯 Requisitos

• Professional experience in product management, ideally within technology, AI, online platforms or Trust & Safety • Experience taking products or features from discovery through launch and ongoing optimisation • Understanding of AI and machine learning concepts, including the opportunities and risks associated with AI-powered products • Knowledge of Trust & Safety, content moderation, online harms, platform integrity or user protection • Ability to interpret product and operational data and use evidence to make prioritisation decisions • Experience writing product requirements and working effectively with engineering, design and data teams • Strong analytical, problem-solving and decision-making skills • Excellent written and verbal communication skills, with the ability to explain complex topics to different audiences • Confidence working with cross-functional stakeholders, including technical, operational and policy teams • Ability to manage competing priorities and deliver in a fast-paced, evolving environment • Sound judgement, attention to detail and a responsible approach to sensitive safety issues • Fluent English, both written and spoken • Experience with experimentation, risk assessment or safety evaluation is an advantage • Familiarity with relevant AI, privacy and online safety regulations is an advantage

🏖️ Benefícios

• Opportunity to shape Trust & Safety products for AI-powered technology • Collaborative work with product, engineering, research, policy and operations teams • Meaningful involvement in improving user protection and responsible AI practices • Professional development in a rapidly evolving technology and safety field • International and multidisciplinary working environment • Fully remote work arrangement

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