Ambyint is a SaaS company that provides an Industrial IoT platform, leveraging physics-influenced AI models, plus closed-loop control to enable autonomous operations. As a result, we are an instrumental part of the climate technology evolution and a market leader in production optimization for the energy industry. We deliver step-change improvements to our customers by combining advanced physics, subject matter expertise, and data-informed insights with AI to automate operations and production optimization workflows. To help us reach the next level, we’re looking for a Full-time The Vice President, Product is the senior leader accountable for translating Ambyint's business strategy, customer needs and technology advantage into a focused product portfolio that drives adoption, recurring revenue growth and durable market differentiation. Working as a peer to Operations, Engineering, Customer Success, Business Development, Sales & Marketing, this leader will align the organization around the product vision and roadmap, strengthen the connection between customer evidence and investment decisions, and build a high-performing product organization capable of scaling through its next stage of growth. We have a proven autonomy engine and a decade of real operating data. The next chapter is extending that engine across more of a well's life, and turning our data into predictive reliability and economics operators can verify. In your first year you will personally lead discovery with operators while building a lean team of product managers and Product Operations. These are the ones this role will own: Help operators see failures coming and prevent them. Earn the trust that autonomy requires, with AI operators understand and choose to hand more control to. Translate strategic priorities into clear product bets,



sequencing decisions and investment recommendations, balancing growth, customer value, platform scale, technical health and risk. Partner with the Co-CEOs and executive team on annual planning, Board materials, operating reviews and product investment decisions. Product Management & Customer Value Build a rigorous product management practice spanning market discovery, customer research, problem framing, discovery that retires value, usability, feasibility and viability risk before build, and outcome-based roadmaps. Develop a deep understanding of lean production teams managing large well counts (field operators, production engineers and asset leaders), economic buyers, workflows and decision criteria across Ambyint's target markets. Ensure product teams validate measurable customer problems and expected commercial value before committing significant development capacity. Create a continuous customer-feedback system involving Customer Success, Sales, field teams and strategic customers while retaining clear product decision accountability. Give usability the same rigour as value: field and engineering workflows that work at the wellsite and at the desk. Co-lead Product Operations with the Head of Product Operations (reporting to you) as the connective infrastructure for planning, prioritization, release readiness, product data, tooling, governance and cross-functional communication. Partner with Sales,



Marketing and Customer Success to define market segments, positioning, packaging, pricing inputs, launch plans and enablement for recent and existing offerings. Connect roadmap priorities to revenue growth, retention, expansion, implementation success and customer time to value. Shape how Ambyint's software and domain expertise combine to deliver operator outcomes, and how that model scales. Strengthen product-market fit by using market intelligence, competitive analysis, win-loss insights and customer outcomes to guide decisions. Represent the product strategy with customers, partners, investors and the Board when required. Partner closely with Engineering leadership to align product outcomes, architectural direction, platform scalability, security, reliability and delivery capacity. Engineering owns how we build and technical feasibility. Guide the responsible application of AI and automation in the product by considering model performance, explainability, data quality, customer trust and operational safety. Lead the adoption of AI-accelerated product discovery and delivery, shortening the path from idea to validated to shipped. Balance differentiated innovation with the platform standardization required to support repeatable deployment and efficient growth. Ensure product priorities reflect real-world industrial workflows, integration requirements and operational constraints. Create strong interfaces and decision rights across Product, Engineering, Sales, Marketing, Customer Success and Solutions Engineering. Lead through growth and change with transparent communication, sound judgment and a willingness to make difficult prioritization decisions. Not a feature-intake desk for customer and sales requests.

📌 Communications and Digital Marketing Advisor (Canada)
🏢 Cuso International
📍 Canada