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.
What you'll do
Strategic & Technical Leadership
Act as a senior technical authority in data architecture, analytics, monitoring, and system design.
Report to the CTO and collaborate with Sr. peers to define and execute the company’s technical roadmap.
Drive execution, innovation, process improvement, and change management across engineering and data science teams.
Scale the R&D team in line with Fetcherr’s rapid growth.
Drive the effective usage of state of the art AI tools for improving productivity and scaling the team capabilities.
Engineering & Operational Excellence
Design and refine engineering processes to improve reliability, velocity, and quality.
Champion data quality, validation, and analytics engineering practices.
Deliver the commitments according to customer requirements and timelines.
Drive productivity and quality, also through the best practice leverage of AI tools and agentic coding.
Customer & Product Alignment
Serve as a technical interface to product management, understanding the customer needs and translating them into product development execution and technical strategies.
Represent R&D in customer discussions, guiding prioritization and product development with a real-world impact lens.
People & Culture
Lead a local team while collaborating with remote and distributed teams, fostering alignment, engagement, and accountability.
Promote a collaborative, analytical and data driven, hands-on culture across engineering, data science, and product.
Partner closely with product and data stakeholders to deliver scalable, production-grade AI solutions.
Requirements
Leadership & Management
2+ years managing team leads in a VP role.
Experience growing R&D teams at a startup or high-growth tech company.
Proven ability to lead cross-functional teams.
Proven ability to align with other teams in the R&D organization, especially remote teams.
Technical Depth
Strong background in data engineering, analytics and data science.
Proven experience in cloud-native architectures (preferably GCP).
Experience in scaling systems, improving CI/CD,
Big plus: working with ML or real-time data products.
Communication & Influence
Ability to motivate, mentor, and grow high-performing teams, promoting accountability and extreme ownership throughout the teams.
Strong communicator who can align technical and business stakeholders.
Excellent English skills (spoken and written) – able to clearly communicate with global teams, customers, and leadership.
Comfortable engaging directly with customers, partners, and executives.
Mindset & Approach
Hands-on and detail-oriented, with a “roll up your sleeves” attitude.
Strategic thinker who can balance short-term wins with long-term scalability.
Passion for building impactful, AI-driven products.