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Fetcherr is an AI company building responsible, market-focused intelligence for volatile industries. The company's proprietary Market Model delivers 96% forecast accuracy in demand prediction and real-time decision intelligence, deployed across global aviation with clients including Delta, Virgin Atlantic, WestJet, and Azul. The platform uses market data with full transparency and delivers an average 7% profit uplift.
You will lead Fetcherr's Data Science and Data Engineering team, combining hands-on technical leadership with team management. The Price Optimization team sits at the core of the business—taking large-scale customer data and market predictions to drive revenue management decisions. You will own the design and maintenance of the decision-making engine: data pipelines that ingest customer data, run it through an optimization engine that simulates market conditions (competition, pricing constraints, inventory, predictive models, business policies), and generate price recommendations.
Key responsibilities include managing a team of data scientists and engineers building robust, scalable data pipelines and infrastructure; designing distributed data processing workflows (batch and streaming); driving best practices for data quality, validation, testing, and observability; owning and evolving Fetcherr's data architecture; managing sprint planning, code reviews, and performance feedback; contributing hands-on to key development and architecture decisions; and recruiting, mentoring, and growing the team.
This role requires deep technical expertise in data engineering and ML systems, combined with proven team leadership and mentorship skills. You will work on mission-critical systems where quality, reliability, and attention to detail are essential.
