
Product Manager
Posted Aug 28

Posted Aug 28
This is a fully remote position, open to applicants in Massachusetts.
• Take ownership of the roadmap for various platform capabilities within the Platform & Data Integration portfolio.
• Convert customer challenges, business goals, and technical limitations into scalable product functions.
• Prioritize features and enhancements based on customer value, technical investment, and business potential.
• Lead AI-assisted product discovery, refinement, and delivery across APIs, data connectors, metadata-driven workflows, integration services, and import/export functionalities.
• Design scalable and reusable platform capabilities suitable for a range of customer environments.
• Collaborate with software engineers, architects, UX designers, Product Owners, Solution Managers, and Principal Product Managers.
• Engage in technical design discussions focused on usability, performance, scalability, security, and maintainability.
• Interact with customers, implementation teams, and technology partners to comprehend integration challenges.
• Foster cross-functional alignment among Product, Engineering, UX, Services, Customer Success, and Support.
• Assist in launches through release readiness, demonstrations, documentation, and customer enablement.
• Establish success metrics and analyze customer feedback, usage analytics, and operational metrics.
• Assess and implement AI to enhance user experiences, automate repetitive tasks, simplify workflows, and improve research, prioritization, documentation, and decision-making.
• A Bachelor's degree in Computer Science, Software Engineering, Information Systems, Life Sciences, or a related technical field is required.
• Over 5 years of experience in software product management, ideally in enterprise SaaS, cloud platforms, or data-heavy applications.
• Ability to appropriately utilize company-approved AI tools while safeguarding confidential information, validating AI-generated content, and exercising sound professional judgment.
• Understanding of APIs, data connectors, interoperability, metadata exchange, data ingestion, and AI-enabled automation.
• Capacity to balance usability, performance, scalability, security, maintainability, customer requirements, technical factors, and business priorities.
• Recognition for remote work and commitment to work-life balance.
• An inclusive, people-first culture.
• Opportunities for learning, growth, and ongoing improvement.
• A fast-growing company with career development prospects.
• An equal opportunity workplace that values diversity.
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