Own and maintain the product roadmap, setting and communicating priorities, rationale, and trade-offs clearly to all stakeholders.
Write high-quality PRDs, user stories, and acceptance criteria that enable engineering to build with confidence and speed.
Lead sprint planning, backlog grooming, and release management in close collaboration with the engineering team.
Define and track product KPIs (adoption, retention, NPS, time-to-value) and use data to iterate and improve.
Manage the feedback loop between customers, support, sales, and engineering ensuring the right problems get solved in the right order.

AI Product Commercialization

Own the product strategy for Celtrino’s emerging AI capabilities, taking proof-of-concepts through discovery, validation, and to GA release.
Define the business model, pricing, and packaging for new AI-powered features (e.g. intelligent document processing, predictive exception management, smart onboarding automation).
Collaborate with R&D to write detailed product specs, acceptance criteria, and go-to-market briefs for AI feature launches.
Work with Sales and Marketing to develop compelling narratives around AI value translating technical capability into customer outcomes.

Platform Stability & Technical Debt Management

Partner with engineering to audit, prioritize, and systematically retire 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 embed them into sprint reviews and OKR cycles.
Build the case for infrastructure investments with clear business impact framing for engineering and leadership audiences.

Market Research & Competitive Intelligence

Conduct structured customer discovery interviews and analyze support data to surface unmet needs and prioritization signals.
Map the competitive landscape across EDI, supply chain automation, and adjacent AI/automation platforms, track competitor roadmaps and pricing moves.
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.

4–8 years of product management experience in a B2B SaaS or managed services environment.
Experience taking AI/ML features from concept or R&D prototype to commercial launch.
Track record of successfully managing technical debt programmes alongside feature delivery.
Strong market research and competitive analysis skills comfortable in both qualitative discovery and quantitative analysis.
Excellent written communication: able to write crisp PRDs, executive summaries, and commercial narratives.
Comfortable engaging directly with engineering at a technical level (APIs, data models, integration architecture).
Data-driven: confident defining success metrics and using them to make and defend prioritization decisions.
Comfortable operating with autonomy in a lean, fast-moving team where you’ll wear multiple hats.

Nice to Have:

Domain knowledge in EDI, supply chain, ERP integration, or procurement technology.
Understanding of e-invoicing standards and regulatory trends (Peppol, EN16931, Making Tax Digital).

Competitive salary with performance-linked incentives tied to product and business outcomes.
Real ownership: a genuine product mandate, not a feature factory.
AI-first engineering culture: an active R&D pipeline and appetite to build intelligent product capabilities.
Commercial context: direct access to customers, sales, and revenue data to ground every product decision.
Supportive leadership: transparent MD and a leadership team invested in building 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.

Product Manager

Key skills