Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.

We are looking for a highly skilled, strategic, and execution-oriented Senior Product Manager to join our expanding product team at Fetcherr. In this role, you will lead the evolution of Fetcherr’s core AI-driven platform, shaping innovative solutions that solve complex challenges while delivering intuitive and impactful user experiences for enterprise customers.

As a senior member of the product organization, you will own major product domains end-to-end — from discovery and strategy through execution, delivery, and customer adaptation. You will work cross-functionally with engineering, design, sales, customer success, and leadership teams to define product direction, drive execution, and ensure measurable business impact.

Responsibilities:

• Lead strategic product initiatives and execute the company’s product roadmap, delivering breakthrough solutions for the airline industry.
• Own complex product domains and customer-facing product initiatives from discovery through launch and ongoing optimization.
• Translate business goals, operational challenges, and technical constraints into clear and actionable product requirements, including PRDs, user stories, workflows, and feature specifications.
• Drive product discovery with enterprise customers, identifying opportunities to adapt and evolve the platform to support customer-specific needs while maintaining scalability.
• Partner closely with engineering, data science, and design teams to define product architecture, prioritize initiatives, and deliver intuitive user experiences.
• Conduct deep user research and engage regularly with business and technical stakeholders to inform strategic product decisions.
• Define success metrics, monitor product performance, and drive continuous iteration based on data, customer feedback, and operational insights.
• Collaborate with sales and customer success teams on roadmap alignment, customer onboarding, deployment planning, and long-term account growth.
• Lead cross-functional alignment across internal teams, ensuring clarity, accountability, and efficient execution.
• Act as a key product leader in customer engagements, executive discussions, and strategic planning sessions.
• Travel to customer sites as needed to support discovery, implementation, and feedback cycles.

• 7+ years of experience as a Product Manager, with a strong track record of building and scaling complex B2B enterprise products.
• Proven experience owning products end-to-end in fast-paced, high-growth environments.
• Strong technical and analytical capabilities, with the ability to understand complex systems, workflows, and integrations, and translate them into simple and effective product experiences.
• Extensive experience working closely with engineering teams, including writing detailed PRDs, user stories, specifications, and feature requirements.
• Demonstrated ability to drive product strategy while remaining highly hands-on in execution and delivery.
• Experience managing enterprise customers and long-term engagements, including product customization, stakeholder management, and feedback-driven iteration.
• Experience working with legacy or traditional industries, and modernizing workflows and systems with minimal operational disruption.
• Strong customer-facing experience, including roadmap discussions, requirement gathering, solution design, and executive-level communication.
• Exceptional communication, presentation, and documentation skills, with the ability to align technical and non-technical stakeholders.
• Strong ownership mindset — someone who takes accountability, drives execution, removes blockers, and ensures cross-functional alignment.
• Experience in aviation, travel-tech, pricing systems, optimization platforms, AI-driven products, or data-intensive environments — an advantage.
• Bachelor’s degree in Computer Science, Engineering, Business, or a related field; MBA — an advantage.