Overview

Our client is a forward-thinking solutions provider specializing in digital transformation for the water and wastewater industry. Their mission is to help utilities, municipalities, and industrial operators harness the power of cloud technology, IoT, AI/ML, and Hybrid Digital Twins to optimize operations, ensure compliance, and achieve sustainability and ESG goals.With a strong foundation in world-leading research, SaaS innovation, and water sector expertise, our client develops platforms that unify the entire water cycle — from smart distribution and leak detection to wastewater treatment optimization, compliance automation, and ESG reporting. By bridging the gap between utilities, regulators, and communities, Z Prime Ltd is committed to shaping the future of water management through scalable, resilient, and intelligent digital solutions.We are seeking a Product Line Manager (PLM) to lead the strategy, roadmap, and lifecycle of our client\''s Water and Wastewater SaaS platform. This role focuses on delivering innovative, cloud-based solutions that help utilities, municipalities, and industrial operators manage the full water cycle — from smart distribution to wastewater treatment and compliance.The ideal candidate combines SaaS product expertise with industry knowledge in water or wastewater management and a passion for leveraging technologies like IoT, AI/ML, and Hybrid Digital Twins to drive efficiency, compliance, and sustainability.Responsibilities

Product Strategy — Define and own the product line vision across water distribution and wastewater treatment modules.Build a roadmap that balances compliance (regulatory reporting), efficiency (OPEX savings), and sustainability (reuse, ESG tracking).Integrate Hybrid Digital Twins as a strategic differentiator — blending physics-based and AI-driven models to simulate, predict, and optimize operations.Develop phased roadmaps: short-term compliance and monitoring, mid-term predictive analytics, and long-term city-wide digital twin ecosystems.Lifecycle and Prioritization

Manage the full product lifecycle from ideation to retirement.Prioritize features by regulatory criticality, ROI impact, and innovation potential:Must-have: compliance dashboards, automated reporting.Value-add: predictive maintenance, AI-driven dosing optimization.Innovation: digital twins for climate resilience and reuse planning.Define adoption KPIs (e.g., effluent compliance %, OPEX reduction, customer ROI).Retire or evolve modules that no longer deliver measurable value.Cross-Functional Leadership

Collaborate with engineering and data science to integrate IoT/SCADA datastreams, AI/ML models, and physics-based simulation engines.Partner with regulatory experts to ensure platform compliance with EPA, EU directives, and ISO standards.Enable sales and marketing with ROI-based value propositions tailored to municipalities, utilities, and industrial operators.Support customer success by driving operator adoption and building trust in AI-powered and digital twin solutions.Build strategic partnerships with IoT vendors, simulation software providers, and smart city initiatives.Qualifications

5–10 years of experience in product management, preferably in SaaS, IoT, or digital platforms.Prior exposure to the water, wastewater, or environmental technology sectors strongly preferred.Familiarity with hydraulic and process modeling tools a plus.Proven track record of delivering data-driven SaaS products, ideally with Hybrid Digital Twin or AI/ML integration.Strong understanding of regulatory frameworks (EPA, EU Water Framework Directive, ISO water standards).Exceptional leadership, stakeholder management, and cross-functional collaboration skills.Why join our client

Shape the future of digital water management with cutting-edge SaaS and Hybrid Digital Twin technologies.Work at the intersection of technology, sustainability, and public health.Empower utilities and industries to optimize operations, ensure compliance, and achieve ESG goals.Please ignore the salary level quoted on the job board - there is flexibility depending on the candidate\''s profile

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