Senior Product Manager

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Logo of Everstream Analytics

Everstream Analytics

51 - 200 employees

📦 Logistics

💼 Consulting

🍽️ Food & Beverage

Logistics • Consulting • Food & Beverage

Everstream Analytics is a leading provider of end-to-end supply chain risk management solutions that enhance global supply chains by making them smarter and more autonomous. The company leverages predictive insights and risk analytics to enable businesses to manage supply chain disruptions effectively, optimize operations, and improve their performance. Everstream Analytics offers a comprehensive suite of services, including actionable intelligence, cybersecurity, ESG & sustainability, weather intelligence, and analytics, tailored for various industries such as automotive, chemicals, energy, food and beverage, heavy equipment, high-tech, industrial manufacturing, life sciences, medical devices, and retail.

📋 Description

• Own a product domain within the Supply Chain Risk Management platform and deliver customer and business outcomes • Develop understanding of customer problems through research, customer conversations, usage data, and market insight • Translate customer and business needs into product requirements and maintain a prioritised backlog • Use prototypes, experiments, and product concepts to validate ideas and reduce delivery risk • Partner with Engineering, Data Engineering, Data Science, and cross-functional teams to deliver solutions • Identify opportunities for AI, machine learning, and advanced analytics to improve the platform • Define and evolve analytics and decision-support capabilities for supply chain risk management • Measure product performance using customer feedback, product analytics, and business outcomes • Communicate product priorities and roadmap decisions across Engineering, commercial teams, and leadership

🎯 Requirements

• 5+ years’ experience managing and delivering successful SaaS products in a Product Management role • Experience in procurement, supplier risk, supply chain risk management, manufacturing, or adjacent B2B SaaS markets • Experience leading and collaborating with Product, Engineering, Data Engineering, and Data Science teams • Strong experience building data-driven products, analytics capabilities, or decision-support solutions • Ability to synthesise customer, commercial, and technical inputs into product priorities, requirements, and delivery plans • Demonstrated experience shipping products and features delivering measurable customer and business value • Nice to have: experience building AI-enabled products or applying AI to analytics and decision-support solutions • Nice to have: experience in procurement, supply chain, logistics, manufacturing, or operations environments • Nice to have: experience delivering enterprise software for global organisations • Nice to have: experience with product analytics tools and experimentation frameworks

🏖️ Benefits

• Opportunity to make a tangible impact while growing your product management career • Collaboration with talented engineering and data teams • Work on products that improve resilience, reduce risk, and enable better decision-making • Growth-focused organisation supporting people, business, and customers • Opportunity to work directly with customers and solve complex real-world problems

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