Product Manager

Job Description

Take ownership of the product roadmap, establishing clear priorities, rationale, and trade-offs for all stakeholders. Craft high-quality PRDs, user stories, and acceptance criteria to enable confident and speedy engineering. Guide sprint planning, backlog grooming, and release management in close collaboration with the engineering team. Define and monitor product KPIs (adoption, retention, NPS, time-to-value) and leverage data for iterative improvement. Manage feedback from customers, support, sales, and engineering to ensure the right problems are addressed in the optimal order. Own the product strategy for emerging AI capabilities, driving proof-of-concepts through discovery, validation, and GA release. Define business models, pricing, and packaging for new AI-powered features (e.g., intelligent document processing, predictive exception management, smart onboarding automation). Collaborate with R&D to create detailed product specs, acceptance criteria, and go-to-market briefs for AI feature launches. Partner with Sales and Marketing to develop compelling narratives around AI value, translating technical capability into tangible customer outcomes. Collaborate with engineering to audit, prioritize, and systematically address technical debt across the core EDI platform. Define and maintain a debt reduction backlog that balances near-term reliability improvements with long-term architectural goals. Champion platform health metrics (uptime, latency, defect rates) and integrate them into sprint reviews and OKR cycles. Build the case for infrastructure investments by clearly articulating their business impact to engineering and leadership. Perform structured customer discovery interviews and analyze support data to uncover unmet needs and prioritization signals. Map the competitive landscape across EDI, supply chain automation, and related AI/automation platforms, tracking competitor roadmaps and pricing. Monitor regulatory shifts (e.g., e-invoicing mandates, Peppol expansion, NHS procurement frameworks) and translate them into product opportunities. Produce regular market insight reports for leadership and sales to inform positioning and pipeline strategy.

Qualifications

1. 4-8 years of product management experience in a B2B SaaS or managed services environment. 2. Experience in taking AI/ML features from concept or R&D prototype to commercial launch. 3. Proven track record of successfully managing technical debt programs alongside feature delivery. 4. Strong market research and competitive analysis skills, comfortable with both qualitative discovery and quantitative analysis. 5. Excellent written communication skills to write crisp PRDs, executive summaries, and commercial narratives. 6. Comfortable engaging directly with engineering at a technical level (APIs, data models, integration architecture). 7. Data-driven and confident in defining success metrics and using them to make and defend prioritization decisions. 8. Comfortable operating with autonomy in a lean, fast-moving team where you will wear multiple hats. Nice to Have: 1. Domain knowledge in EDI, supply chain, ERP integration, or procurement technology. 2. Understanding of e-invoicing standards and regulatory trends (Peppol, EN16931, Making Tax Digital).

Benefits

- Competitive salary with performance-linked incentives tied to product and business outcomes. - Real ownership with a genuine product mandate. - AI-first engineering culture with an active R&D pipeline and appetite to build intelligent product capabilities. - Direct access to customers, sales, and revenue data to ground every product decision. - Supportive leadership with a transparent MD and a leadership team invested in building the the right product the right way. - Clear growth path as Celtrino scales its product portfolio, so does the scope of this role with a natural path to VP Product.