VP Engineering

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.

As Director of R&D , 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 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 3+ years managing team leads in a Director or Head of R&D 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.

Ability to work hybrid (2‑3 times a week from office) at 175 SW 7 ST Suite 1900, MIAMI, FL 33130. #J-18808-Ljbffr