AI/Machine Learning Group Product Manager

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
MAIN PURPOSE OF JOBThe AI/ML Group Product Manager is responsible for defining, executing, and managing the product strategy and lifecycle for AI/ML initiatives across the organization. This role combines strategic leadership with technical expertise to deliver innovative AI/ML solutions that meet business objectives and customer needs. Reporting to senior leadership, the position oversees a team of product managers and works closely with cross-functional teams to drive alignment and ensure successful execution.

MAIN DUTIES

• Strategic Planning and Vision Development:
• Develop and communicate a clear product vision and roadmap for AI/ML initiatives that align with organizational goals.
• Stay informed about industry trends, technological advancements, and market demands to shape strategic priorities.
• Team Leadership and Development:
• Lead and manage a team of product managers, providing guidance, mentorship, and performance oversight.
• Foster a collaborative environment that encourages innovation and accountability.
• Product Development Oversight:
• Manage the end-to-end lifecycle of AI/ML products, from conceptualization and requirements gathering to launch and post-launch performance analysis.
• Collaborate with engineering, data science, and design teams to define product specifications and ensure timely delivery.
• Stakeholder and Customer Engagement:
• Engage with internal stakeholders, customers, and partners to gather requirements and feedback.
• Translate business needs into product features and ensure alignment with broader organizational strategies.
• Execution and Delivery:
• Ensure delivery of high-quality, scalable AI/ML products on time and within budget.
• Oversee product launches, including internal training, marketing alignment, and operational readiness.
• Ethics and Compliance:
• Ensure all AI/ML products comply with relevant ethical, regulatory, and data privacy standards.
• Promote responsible AI practices and frameworks across product development processes.
• Performance Monitoring and Optimization:
• Define and track KPIs to measure product performance, customer adoption, and business impact.
• Lead ongoing analysis to identify areas for improvement and drive product refinements.

REQUIREMENTS

• Educational Background:
• A Bachelor’s degree in Computer Science, Engineering, Business, or a related field is required; a Master’s degree or MBA is preferred.
• Experience:
• A minimum of 8 years of relevant experience, with at least 3 years focused on AI/ML products or technologies.
• Proven track record of successfully managing product teams and delivering complex, technical products to market.
• Expertise:
• Comprehensive understanding of AI/ML concepts, frameworks, and industry applications.
• Ability to work closely with technical teams and bridge the gap between technical development and business objectives.
• Leadership and Interpersonal Skills:
• Demonstrated ability to lead cross-functional teams and influence without direct authority.
• Strong communication and stakeholder management skills, including experience presenting to executive leadership.
• Analytical and Strategic Thinking:
• Proficiency in data analysis and familiarity with analytics tools to inform product decisions.
• Strategic mindset with a focus on achieving measurable outcomes.
• Additional Competencies:
• Experience with Agile product development methodologies.
• Knowledge of legal, ethical, and regulatory considerations specific to AI/ML technologies.