Product Manager – AI Technology

Job not on LinkedIn

🔥 19 hours ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Workster

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Define and deliver the product strategy and roadmap for AI-powered products and features • Identify customer needs, market opportunities and business priorities to inform product direction • Translate customer, business and technical requirements into clear product specifications and priorities • Partner with engineering, design, data science and research teams to develop and launch product features • Guide products through discovery, development, launch and ongoing improvement • Evaluate how AI capabilities can address customer problems and contribute to useful, reliable product experiences • Work with technical teams to understand AI model capabilities, limitations and dependencies • Use customer feedback, product analytics and market research to identify opportunities and inform decisions • Define product goals and success measures, and monitor performance after launch • Make evidence-based prioritisation decisions, balancing customer value, business impact, technical feasibility and risk • Coordinate product launches and communicate plans, decisions and progress to relevant stakeholders • Identify product risks and dependencies, working with relevant teams to address them • Keep up to date with developments in AI technology, product management and customer expectations

🎯 Requirements

• Professional experience in product management, ideally within technology or digital products • Experience taking products or features from discovery through launch and ongoing optimisation • Understanding of AI and machine learning concepts, including their potential applications and limitations • Ability to identify customer needs and translate them into clear product requirements and priorities • Experience working closely with engineering, design, data or research teams • Ability to use product data, customer feedback and market insights to guide decisions • Strong analytical, problem-solving and decision-making skills • Excellent written and verbal communication skills, with the ability to explain technical concepts to different audiences • Confidence working with cross-functional stakeholders and managing competing priorities • Strong organisation and project management skills, with the ability to deliver in a changing environment • Customer-focused approach, sound judgement and attention to detail • Fluent English, both written and spoken

🏖️ Benefits

• Opportunity to shape products and features built with AI technology • Collaborative work with product, engineering, design and data teams • Meaningful involvement in delivering products that address customer needs • Professional development in a rapidly evolving technology sector • International and multidisciplinary working environment