Director, R&D

Summary

Join Placer.ai, a rapidly growing big data startup, as their Director of R&D! Lead American-based full-stack mapping engineering teams and own the mapping infrastructure. You will be pivotal in shaping product development and user experience. Responsibilities include recruiting, training, and managing a team of engineers, leading architecture and development of mapping infrastructure, and collaborating with various teams. The ideal candidate possesses extensive experience in full-stack engineering, particularly with large-scale data display systems, and strong leadership and communication skills. Placer.ai offers a competitive salary, excellent benefits, and a fully remote work environment.

Requirements

• Proven experience of several years in full stack engineering, focused on user experience of large scale data display systems
• Proven ability to recruit, train and maintain star developers in America
• Leader, technical mentor and a people manager with strong communication and collaboration skills
• Hands-on manager, who loves to write and review code, with hands-on experience in recent full-stack / front-end mapping technologies
• Strong coding skills and a “get-things-done” approach
• Ability to Engineer, design and develop large scale, high performance mapping components
• Extensive experience in designing and building scalable frontend infrastructure, easily maintained and extended
• Critical / First principle thinking - able to identify root causes of issues and tightly collaborate with all parts of the organization
• Familiarity with recent technologies in the Full-stack / Front-end domain

Responsibilities

• Recruit, train and manage a team of star full stack engineers
• Manage and technically lead America based teams in the field of full stack engineering
• Lead the architecture, design and development of our mapping infrastructure
• Technically interface with a large number of teams, and provide mapping services for our Dashboards, customer reports and, partners (as embedded widgets)
• Participate in the development of our long term product vision
• Collaborate with product managers, and be close to our business requirements and business needs

Preferred Qualifications

• Hands-on experience with Mapbox infrastructure
• Experience with data related technologies such as Spark, Kafka, Python, Scala, NoSQL and analytical databases
• Experience with a cloud platform: GCP (preferred), AWS or Azure
• Experience in data analytic and data analysis
• Hebrew speaking skills

Benefits

• Competitive salary
• Excellent benefits
• Fully remote
• Medical, dental and vision coverage
• Flexible time off
• 401K
• Equity awards for certain roles