Engineering Manager - Data Infrastructure

"Our ML and Data pipelines combine open source technologies with custom Woven data processing, all deployed to AWS.". Pipeline code is written in Python & Java.. We use SQS and Kafka to automate data connections and leverage BigQuery and ElasticSearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems. We are a distributed team, working in the UK and US. Who are we looking for?The London Data Infrastructure team is looking for a Manager who is passionate about and enables the next generation of automotive software development. The right candidate will have excellent communication skills, solid coding skills, broad knowledge of software development across areas such as Data Infrastructure and Warehouses, Data Ingestion, Compute Frameworks, Observability and Build Infra. Our users are located in the US, UK, EU, and Japan.Responsibilities:

• Lead, hire and retain a team of high performing engineers
• Develop, mentor and grow exceptional talent
• Interface with business stakeholders in engineering and product to incorporate business requirements and prioritization in a global team, using strong communication strategies. This includes travelling to the US and Japan
• Set and communicate team vision and strategy that support the broader organization and business goals
• Create an inclusive, healthy collaborative environment for the team and with partner teams
• Continuously improve and establish the processes that improve the team's execution and engineering excellence
• Guide the design and implementation of new solutions that increase the usage and the impact of data for AD/ADAS development

• Experience managing a distributed team in a fast-changing environment
• Experience in influencing and driving change across multiple teams
• Experience in growing and developing talent
• Experience building scalable and reliable distributed systems for Data Processing or similar areas
• Experience with programming languages such as Python, Java, and Go
• Hands-on experience developing cloud applications (e.g. AWS (preferred), GCP, Azure)

Preferred Qualifications:

• Experience in influencing and driving change in complex organizations
• Experience with matrix organizations
• Experience with working with remote engineers
• Technical knowledge is required, we expect the candidate to be able to have meaningful conversations with our stakeholders about our solutions, what we can, and mostly what we can't do

WHAT WE OFFERWe are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.・Excellent health, wellness, dental and vision coverage・A rewarding pension・Flexible vacation policy・Family planning and care benefits

NEWREMOTE Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society. Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all. TeamOur data platform team is working on accelerating autonomous driving by providing access to petabytes of data collected by our fleet of autonomous and non-autonomous vehicles. Efficient, fast and cost-effective access to data at large scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. The data ecosystem developed by the London team is a key building block for developing and testing modern AD/ADAS products that will impact millions of customers.