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.

Overview:

The ML Product Manager is responsible for leading the definition and delivery of ML+AI solutions. As an ML Product Manager at Welocalize, you will use a combination of extensive Data and ML knowledge and execution experience to deliver business value to stakeholders in accordance with the ML product vision and in support of company goals.

Welocalize is in the process of building out its new ML Division, and this role will be the first PM for the new ML team. You will help set a culture of speed, impact, and engineering excellence for this new ML engineering team. Your day-to-day will include working with stakeholders in our four main service lines to identify opportunities for ML to have impact, measure that impact, and prioritize projects on the roadmap of the ML engineering team.

You will report into an established Product organization that has a record of excellence and established best practices. Welocalize is fully remote; you can work from anywhere! The team of engineers will be based in the Americas and Europe, so reasonable overlap with those time zones is required.

Responsibilities

• Play a central role in building the capabilities that will empower multiple business-critical ML workloads. solutions. Build insights into Welocalize use-cases, strategize where AI+ML technologies can be applied to drive business impact and use these insights to build and champion the roadmap for ML at Welocalize.
• Build insights into Welocalize use-cases, strategize where AI+ML technologies can be applied to drive business impact and use these insights to build and champion the roadmap for ML at Welocalize.
• Closely partner with outstanding talent across engineering teams and drive tight integration with other systems to build ML tooling.
• Define clear OKRs that can help the team ensure progress towards our goal of driving ML adoption.
• Collaborate with internal operational stakeholders, external clients, and our engineering team to ensure product success.
• Requirement analysis and solution design: Collaborate with cross-functional teams to understand business requirements, define clear objectives, and develop technical plans.
• Work with stakeholders to identify opportunities where AI can provide valuable insights and partner with Engineers conducting experiments and evaluations to assess the performance and effectiveness of different models and techniques.
• Develop metrics that reflect the needs of the business for their stakeholder cases, and partner in the analysis and of experiment results, interpret findings, and provide actionable recommendations.
• Stay updated with the latest advancements in machine learning, deep learning, and NLP.
• Lead product development and launches by working with multiple stakeholders to define product requirements, prioritize features, and manage timelines.
• Monitor product performance and user feedback to ensure product success.
• Develop and execute a formal plan to regularly engage with stakeholders to ensure all product needs are captured.
• Ensure that requirements slated for development are internally consistent, well described, and are granular enough to be implemented by developers.
• Collaborate with the development team by involving them in development of the product vision, sharing credit for success, thinking through the nuances before presenting requirements, and creating schedules through consensus.
• Contribute to a culture of excellence, open communication, courage, and respect.
• Closely partner with outstanding talent across engineering teams and drive tight integration with other systems to build ML tooling.
• Define clear OKRs that can help the team ensure progress towards our goal of driving ML adoption.
• Collaborate with internal operational stakeholders, external clients, and our engineering team to ensure product success.
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Qualifications

• Bachelor's Degree or higher.
• 5+ years of relevant work experience in ML software product management. Localization, translation, data collection, or NLP experience is a bonus.
• Demonstrated ability to work with senior executives, stakeholders, and users to define and manage the scope, strategy, and requirements.
• Quantitative skills demonstrated by the seeking out, understanding, and diving into data, research and others' thoughts and ideas to support data-driven decision making.
• A well-rounded communicator, collaborator and presenter who loves to share findings and insights.
• Strong practical knowledge of MS Office, Atlassian (JIRA, Confluence).
• Understanding of Lean and Agile Methodologies.
• Self-motivated with critical attention to detail, deadlines and reporting.
• Ability to work creatively and analytically in a problem-solving environment.
• Ability to work well autonomously and within a team in a fast-paced and deadline-oriented
• environment.
• Strong verbal and written communication skills (including analysis, interpretation, &
• reasoning).
• Ability to build clear and concise presentations and communicate effectively at every level of
• the organization.
• Demonstrated specialization, execution, and delivery of AI product.
• Demonstrated project management skills, including effective planning, organizing, and administration of multi-functional work responsibilities.
• Demonstrated ability to facilitate cross-functional planning sessions (ie Scrum and Squad in
• agile).
• Demonstrated ability to effectively partner across, collaborate with, and inspire teams and individuals, including remote employees.
• Ability to negotiate and resolve complex and sensitive issues with diplomacy and persuasiveness.