🕒 2 days ago
Lead the Growth Platform organization and its multi-year strategy, unifying growth systems and applying ML and AI agents to improve targeting, experimentation, personalization, and team execution.
Engineering Manager, Generative AI Engineering
📅 Mar 18
Generative AILLM APIsAI GatewaysPlatform Engineering
📜 Description
- Set technical direction for enterprise Generative AI platform capabilities within Developer Productivity.
- Lead the team and coordinate with engineering, product, security, identity, and internal stakeholders.
- Turn ambiguous problems into technical plans, milestones, and deliverables; manage priorities, dependencies, risks, and communication.
- Guide development of secure, reliable, observable AI platform services and integrations with LLM providers, identity systems, developer tools, and enterprise systems.
- Track adoption, usage, quality, reliability, cost, and business value; address technical debt and operational issues.
- Coach team members and strengthen engineering practices, including testing, CI/CD, code review, security, documentation, and maintainable design.
🛠️ Requirements
- B.S. or M.S. in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience
- 7+ years of professional software engineering experience, including 3+ years managing or leading a technical team
- Experience leading delivery of complex software platforms, developer tools, infrastructure systems, or enterprise internal tools
- Experience managing engineers through planning, execution, feedback, coaching, performance management, and technical decision-making
- Experience with CI/CD, test automation, infrastructure as code, cloud infrastructure, containers, and production deployment workflows
- Experience building or operating production systems that use LLM APIs, model providers, or Generative AI capabilities
- Understanding of production concerns for GenAI systems, including security, access control, observability, cost management, evaluation, reliability, and data protection
- Experience working with cross-functional stakeholders such as product, security, identity, platform engineering, and internal customer teams
- Strong engineering fundamentals, including system design, software architecture, operational excellence, incident response, and maintainable software design
- Ability to communicate clearly in English, including explaining technical trade-offs, risks, and priorities to both technical and non-technical stakeholders
✨ Benefits
- ・Competitive Salary - Based on experience
- ・Work Hours - Flexible working time
- ・Paid Holiday - 20 days per year (prorated)
- ・Sick Leave - 6 days per year (prorated)
- ・Japanese Social Insurance - Health Insurance
- Pension
- Unemployment Insurance
- Long-term care insurance
- ・Housing Allowance
- ・Retirement Benefits
Full job description
About Woven by Toyota
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.
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About Woven by Toyota
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.
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Important Points
・All interviews will be arranged via Google Meet, unless otherwise stated.
・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.
・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.
WHAT WE OFFER
・Competitive Salary - Based on experience
・Work Hours - Flexible working time
・Paid Holiday - 20 days per year (prorated)
・Sick Leave - 6 days per year (prorated)
・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company
・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance
・Housing Allowance
・Retirement Benefits
・Rental Cars Support
・In-house Training Program (software study/language study)
Our Commitment
・We are an equal opportunity employer and value diversity.
・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
TEAM
Software development in the automotive industry comes with unique challenges. Developers need to build, test, secure, and deploy software across cloud environments, mobile devices, embedded systems, and vehicles. They also need modern AI-enabled tools that are safe, governed, observable, and integrated with enterprise systems.
The Developer Productivity function builds tools, platforms, and workflows that help engineering teams at Woven by Toyota and the broader Toyota organization move faster while keeping safety, security, and quality as top priorities.
As part of this function, the Generative AI Engineering team builds enterprise-grade AI platforms and developer-facing AI capabilities. We focus on secure access to large language models, AI gateways, internal AI tooling, model usage governance, identity-aware authorization, cost controls, observability, and integrations with engineering systems.
Our goal is to make AI useful, reliable, and safe at enterprise scale.
WHO ARE WE LOOKING FOR?
We are looking for an Engineering Manager to lead a high-impact Generative AI Engineering team and deliver enterprise-grade AI platform capabilities for Developer Productivity. This role requires experience leading complex engineering projects, partnering closely with engineers and stakeholders, and identifying practical accelerators that improve how engineering teams build, test, operate, and deliver software.
The ideal candidate is deeply focused on customer value and eager to understand the real problems engineers are trying to solve. They will help the team clarify requirements, make sound technical decisions, align on software design, and deliver reliable platform capabilities that can be adopted across teams.
Success in this role requires the ability to set direction while remaining close to implementation details. The Engineering Manager will define goals, prioritize work, reduce unnecessary rework, and ensure the team’s roadmap aligns with the broader Developer Experience and Generative AI strategy. They will use metrics to assess adoption, usage, quality, reliability, and business value, continuously improving the team’s impact over time.
A strong understanding of current trends in developer productivity, platform engineering, and enterprise Generative AI is essential, along with the ability to translate that understanding into a clear and motivating vision for the team.
This position reports to the Head of Developer Experience and Generative AI. The Engineering Manager will work closely with them to shape strategy, guide execution, and help the team deliver safe, reliable, and useful AI capabilities at enterprise scale.
RESPONSIBILITIES
MINIMUM QUALIFICATIONS
NICE TO HAVES
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