Product Manager

A Typical Day in the Life Includes:

• Define product strategy and vision based on customer needs, market opportunities, and emerging technology trends in the low-code space
• Own the Mongoose product roadmap end-to-end, from discovery through release
• Gather and prioritize requirements from customers, partners, field teams, and internal stakeholders
• Write clear, detailed user stories and acceptance criteria for development teams
• Track industry trends in application development frameworks, low-code tools, and AI-assisted development
• Assist in developing the future vision for the product, including AI-augmented development capabilities within the Mongoose low-code framework
• Manage the release process using Aha! and Jira, ensuring features are well defined, tracked, and pass release control standards
• Work within an Agile development environment, partnering closely with development to maintain a healthy backlog and deliver on schedule
• Manage the Mongoose Partner Program for SaaS products
• Drive product enablement, including documentation, training, use-case development, and launch communications for field, partners, and customers
• Serve as a product evangelist for Mongoose, representing the platform at customer meetings, industry conferences, and internal field events
• Bring an entrepreneurial mindset to the role, taking initiative on opportunities and driving them forward with minimal direction
• Work independently across large and complex initiatives, managing multiple stakeholders and competing priorities
• Define and track product adoption and usage KPIs to measure feature success and inform prioritization decisions

• Experience in product management, product ownership, business analysis, or solution architecture for a software product or platform
• Comfortable working across technical and non-technical audiences
• Experience working independently on complex, cross-functional initiatives
• Experience giving product demos and facilitating stakeholder workshops
• Experience with generative AI and LLM concepts, including practical application within software products or platforms
• Legal authorization to work permanently in the United States for any employer without requiring visa transfer or sponsorship now or in the future

• Experience with enterprise low-code, no-code, metadata-driven, or model-driven application platforms such as Microsoft Power Platform, OutSystems, Mendix, Appian, Salesforce, ServiceNow, or comparable tools, including Infor Mongoose
• Exposure to ERP implementation or enterprise software, including Infor SyteLine (CloudSuite Industrial) or similar platforms
• Familiarity with RPA platforms or AI tooling in a product context