Job Overview
Job description
- Location:
- Greece, Romania, Spain
- Work arrangement:
- On-site
Role Summary
About Welo Life Sciences
Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications. welolifesciences.com
The Life Sciences Senior Product Manager is a cross-functional position that requires taking ownership and responsibility for a Life Sciences product/service and all issues and considerations related to it. As a Product Manager, you’ll be the bridge between product stakeholders and the development team, taking the business requirements and defining the product requirements. Success depends on your ability to have deep knowledge of our customers' journey, the Welocalize business, and the impact of data.
Responsibilities
- Strategic Development: Play a central role in building capabilities that will empower multiple business-critical software projects.
- Roadmap Leadership: Build insights into Welocalize use cases, strategize where software solutions can be applied to drive business impact and use these insights to build and champion the product roadmap.
- Cross-functional collaboration: Closely partner with outstanding talent across engineering teams and drive tight integration with other systems to build effective software solutions.
- Objective Setting: Define clear OKRs to ensure progress towards our goal of driving software adoption and effectiveness.
- Stakeholder Engagement: Collaborate with internal operational stakeholders, external clients, and our engineering team to ensure product success.
- Requirement Analysis & 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 software can provide valuable insights and solutions.
- Performance Assessment: Develop metrics that reflect the needs of the business for their stakeholder cases, partner in the analysis of experiment results, interpret findings, and provide actionable recommendations.
- Industry Awareness: Stay updated with the latest advancements in software development, technologies, and methodologies.
- Product Development Leadership: Lead product development and launches by working with multiple stakeholders to define product requirements, prioritize features, and manage timelines.
- Performance Monitoring: Monitor product performance and user feedback to ensure product success.
- Stakeholder Engagement Plan: Develop and execute a formal plan to regularly engage with stakeholders to ensure all product needs are captured.
- Requirement Documentation: Ensure that requirements slated for development are internally consistent, well-described, and granular enough to be implemented by developers.
- Team Collaboration: Collaborate with the development team by involving them in the development of the product vision, sharing credit for success, thinking through nuances before presenting requirements, and creating schedules through consensus.
- Culture Contribution: Contribute to a culture of excellence, open communication, courage, and respect
Requirements
- 5+ years of Product Management experience, preferably in tech-centric roles within life sciences or a closely related field.
- Familiarity with AI and ML technologies and localization platforms, including TMS, CAT tools, LQA, MT, and integrations.
- Proven track record in leading and delivering tech projects with high precision and user-centric focus.
- Experience with clinical trial management systems or patient data handling is preferred.
- Familiarity with global regulatory requirements pertaining to clinical trials and document management will be valued.
- Strong practical knowledge of MS Office, Atlassian (JIRA, Confluence).
- Background in cloud solutions, SaaS platforms, or enterprise software development.
Skills & Knowledge
- Executive Interaction: Demonstrated ability to work with senior executives, stakeholders, and users to define and manage scope, strategy, and requirements.
- Quantitative Skills: Strong ability to seek out, understand, and dive into data, research, and others' thoughts to support data-driven decision-making.
- Communication Skills: A well-rounded communicator, collaborator, and presenter who loves to share findings and insights. Strong verbal and written communication skills (including analysis, interpretation, & reasoning)
- Methodology Understanding: Understanding of Lean and Agile methodologies.
- Attention to Detail: Self-motivated with critical attention to detail, deadlines, and reporting.
- Problem-Solving: Ability to work creatively and analytically in a problem-solving environment.
- Autonomy & Teamwork: Ability to work well autonomously and within a team in a fast-paced and deadline-oriented environment.
- Presentation Skills: Ability to build clear and concise presentations and communicate effectively at every level of the organization.
- Product Execution: Demonstrated specialization, execution, and delivery of software products.
- Project Management Skills: Demonstrated project management skills, including effective planning, organizing, and administration of multi-functional work responsibilities.
- Facilitation Skills: Demonstrated ability to facilitate cross-functional planning sessions (e.g., Scrum and Squad in Agile).
- Team Inspiration: Demonstrated ability to effectively partner across, collaborate with, and inspire teams and individuals, including remote employees.
- Negotiation Skills: Ability to negotiate and resolve complex and sensitive issues with diplomacy and persuasiveness.
- This role is an exciting opportunity to drive meaningful change, innovate, and contribute to the success of Welocalize and our clients. If you thrive in a fast-paced environment and are passionate about delivering high-quality software solutions, we’d love to hear from you!
About the Company
Are you detail-oriented and curious about tech?
Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.
By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.
Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.
About our projects
Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.
🚀 Limitless You – Work when and where you want, with room to grow
🤖 Limitless AI – Contribute to smarter, more inclusive AI
🌎 Be Part of Us – Join a global, supportive community
- Role:
- Senior Life Sciences Product Manager
- Job Type:
- Full Time
Company profile
Welo Global
weloglobal.comWelo Global is an enterprise localization company that delivers multilingual content, AI training data and intellectual property expertise through a portfolio of five specialized brands. Its services cover localization, multilingual content solutions and data for building AI systems, and the company is ISO-certified. Its Welo Data brand runs a global network of linguists and other contributors who work remotely on annotation, evaluation and prompt creation projects for AI.