Product Manager
New
V
Valsoft CorporationB2B SaaS, Managed Services
United Kingdom. IrelandFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4–8 years
- Required Skills
- Artificial IntelligenceMachine LearningRESTful APIs
Requirements
- 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
Responsibilities
- 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.
- 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.
- Partner with engineering to audit, prioritize, and systematically retire technical debt across the core EDI platform.
- 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.
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