ΠΡΠ° Π²Π°ΠΊΠ°Π½ΡΠΈΡ Π² Π°ΡΡ ΠΈΠ²Π΅
ΠΠΎΡΠΌΠΎΡΡΠ΅ΡΡ ΠΏΠΎΡ ΠΎΠΆΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ βΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 14 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄
Director of Engineering (AI)
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Director of Engineering (AI): Co-lead R&D organization to scale data-driven AI products for demand forecasting and real-time decision-making with an accent on data architecture, analytics, monitoring, and system design. Focus on driving execution, innovation, engineering processes, and leveraging AI tools for productivity in high-growth environment.
Location: Hybrid (2-3 days a week from office at 175 SW 7 ST Suite 1900, Miami, FL 33130)
Company
AI-driven company specializing in deep learning, algorithmic trading, large-scale data solutions, and expanding Large Market Model (LMM) beyond airlines.
What you will do
- Act as senior technical authority in data architecture, analytics, monitoring, and system design; define and execute technical roadmap.
- Drive execution, innovation, process improvement, change management, and scale R&D team using state-of-the-art AI tools.
- Design engineering processes for reliability, velocity, quality; champion data quality, validation, and analytics practices.
- Serve as technical interface to product management and customers, translating needs into development strategies.
- Lead local team, collaborate with remote/distributed teams, foster collaborative, data-driven culture.
Requirements
- 3+ years managing team leads in Director or Head of R&D role; experience growing R&D at startup/high-growth tech.
- Proven cross-functional leadership and alignment with remote teams.
- Strong data engineering, analytics, data science; cloud-native architectures (GCP preferred), scaling systems, CI/CD.
- Excellent English (spoken/written) for global teams, customers; strong communication to align stakeholders.
- Hands-on, strategic mindset; passion for AI-driven products.
Culture & Benefits
- Collaborative, analytical, data-driven, hands-on culture across engineering, data science, product.
- High-performance engineering focus with emphasis on accountability, extreme ownership, mentoring.
- Work with visionary leadership, customer impact, scalable production-grade AI solutions.