
11 - 50 employees
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Workster is a recruitment platform focused on matching candidates with diverse job opportunities across various industries. With a commitment to boosting international careers, Workster partners with leading companies in sectors like technology, customer service, and business process outsourcing to help individuals find their next big career move. The platform emphasizes multilingual support and remote work options, catering to a global workforce.
🔥 19 hours ago
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11 - 50 employees
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Workster is a recruitment platform focused on matching candidates with diverse job opportunities across various industries. With a commitment to boosting international careers, Workster partners with leading companies in sectors like technology, customer service, and business process outsourcing to help individuals find their next big career move. The platform emphasizes multilingual support and remote work options, catering to a global workforce.
• 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
• 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
• 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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