Facilitate collaboration across functions to deliver cohesive and impactful product releases.
Engage directly with internal and external end users.
Make informed trade-off decisions to balance value, cost, technical complexity, and timelines.
Bring subject-matter knowledge into product discussions, especially around vibration analysis, fault detection, signal processing, and asset behaviour.
Influence the long-term vision for analytics, diagnostics, and optimisation capabilities in our SaaS platform.
Observe workflows, uncover pain points, and validate assumptions.
Assist in building and maintaining a product roadmap grounded in customer value and commercial impact.
Work with the Advanced Analytics team to support the evaluation of analytics performance, root cause analysis, and algorithm validation.
Identify unmet customer needs and emerging industry trends in wind turbine health monitoring.
Ensure product decisions are grounded in technical reality and data-driven insight.
Owning the 12–18-month roadmap refinement and delivery in line with the product strategy.
Partner closely with engineering, UX, development teams, and product owners to deliver features from concept through release.
Translate customer and business needs into high-level requirements, specifications, and success metrics.
Support the senior product manager in assessing opportunities based on market size, commercial viability, and competitive landscape.
Ensure consistent communication of roadmap, priorities and risks across engineering, leadership, and commercial teams.
Distil technical problems into clear product opportunities.
Collaborate with the wider product team, sales, and marketing to articulate value propositions and differentiation.
Requirements
vibration analysis
signal processing
predictive maintenance
product management
agile
analytical
Proactive, self-driven, and eager to learn product management practices.
Comfortable working with hardware specialists to collaborate on cross software/hardware requirements.
Some exposure to commercial decision-making, customer conversations, or product-like responsibilities.
Analytical mindset; confident working with data.
Comfortable with ambiguity; thrives in iterative, agile environments.
Excellent communicator, able to influence without authority.
Ability to translate technical insights into clear business outcomes.
Wind industry experience is a plus, but not essential.
Strong experience in vibration analysis, rotating machinery diagnostics, signal processing, condition monitoring, or predictive maintenance.
Comfortable interpreting the requirements of complex systems and processes required for vibration analysis software systems.
Natural curiosity about customer needs and how software unlocks value.
Benefits
Information not given or found
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
Information not given or found
Company
Overview
Founded to address the growing need for intelligent monitoring and predictive analytics in industrial sectors.
Specializes in providing advanced condition monitoring systems for wind turbines, using cutting-edge technology to predict failures before they occur.
Offers insights and solutions that help companies improve asset reliability, reduce downtime, and optimize performance.
Utilizes data analytics and AI to provide actionable insights for maintenance and operational efficiency.
Works across a range of sectors, with a strong focus on renewable energy, particularly wind energy.
Provides bespoke services and products, including predictive maintenance and asset health assessments.
Its solutions have been recognized for significantly improving the efficiency and sustainability of wind farms globally.
Relies on a team of industry experts with deep technical knowledge to drive innovation and practical solutions.
Culture + Values
Collaborative and open‑minded work environment valuing innovation and excellence
People‑first approach with supportive management and autonomy
Continuous improvement culture with clear recognition and reward systems
Science‑ and research‑driven focus on unbiased predictive analytics to maximize wind energy potential
Environment + Sustainability
Over 10,000 Turbines
Wind Turbine Monitoring
Operational efficiency for over 10,000 wind turbines, contributing to cleaner energy production.
11,000 Tonnes CO₂ Saved
Carbon Emissions Reduction
Reduction of annual CO₂ emissions through optimized wind turbine operations.
228 GWh Production
Energy Generation
Annual energy production from wind turbines, supporting sustainable energy initiatives.
First to introduce MEMS technology (ecoCMS) for condition monitoring in wind industry, enabling data-driven predictive maintenance.
Use of AI HUB to centralize data streams and boost O&M efficiency supporting energy transition.
Partners with UL to extend life of wind assets and support race to net zero.
No explicit net zero target date publicly stated.
Inclusion & Diversity
Transparency Ranking
5.7/10
The company's transparency ranking on a workplace feedback site reflects ongoing efforts to improve inclusion.
Actively promotes a diverse and inclusive workplace via DEI Strategy Working Group
Encourages applicants from all backgrounds, emphasizing strengths and shared mission
Supports flexible working, phased returns from illness, enhanced parental leave, private medical insurance