Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul.
As VP Engineering, you will serve as a senior technical and organizational leader, helping to scale Fetcherr's data-driven products and engineering capabilities. This is a hybrid role combining technical authority, strategic vision, and operational excellence. You will co-lead the R&D organization, work directly with customers, and be instrumental in shaping cross-functional, product-focused engineering teams.
We’re looking for a leader who’s both visionary and hands-on, able to drive execution, foster innovation, and build high-performance engineering cultures at scale.
Responsibilities:
Strategic & Technical Leadership
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Act as a senior technical authority in data architecture, analytics, monitoring, and system design.
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Report to the CTO and collaborate with Sr. peers to define and execute the company’s technical roadmap.
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Drive execution, innovation, process improvement, and change management across engineering and data science teams.
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Scale the R&D team in line with Fetcherr’s rapid growth.
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Drive the effective usage of state of the art AI tools for improving productivity and scaling the team capabilities.
Engineering & Operational Excellence
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Design and refine engineering processes to improve reliability, velocity, and quality.
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Champion data quality, validation, and analytics engineering practices.
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Deliver the commitments according to customer requirements and timelines.
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Drive productivity and quality, also through the best practice leverage of AI tools and agentic coding.
Customer & Product Alignment
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Serve as a technical interface to product management, understanding the customer needs and translating them into product development execution and technical strategies.
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Represent R&D in customer discussions, guiding prioritization and product development with a real-world impact lens.
People & Culture
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Lead a local team while collaborating with remote and distributed teams, fostering alignment, engagement, and accountability.
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Promote a collaborative, analytical and data driven, hands-on culture across engineering, data science, and product.
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Partner closely with product and data stakeholders to deliver scalable, production-grade AI solutions.
