Woven By Toyota4mo ago

Engineering Manager, Generative AI Engineering

Japan·TokyoEmployeesenior

EngineeringData ScienceManagementEngineering Manager

4 views0 saves0 applied

Apply Now

Quick Summary

Overview

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”…

Technical Tools

b2bb2cci-cdcode-reviewsaas

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.

=========================================================================

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.

We are looking for an engineering manager who can lead a high-impact Generative AI Engineering team and deliver enterprise-grade AI platform capabilities for Developer Productivity. You should have experience leading complex engineering projects, working closely with engineers and stakeholders, and identifying practical accelerators that improve how engineering teams build, test, operate, and deliver software.

You should be deeply focused on customer value and willing to spend time understanding the real problems engineers are trying to solve. You help the team clarify requirements, make sound technical decisions, align on software design, and deliver reliable platform capabilities that can be adopted across teams.

You should be comfortable setting direction while staying close to implementation details. You define goals, prioritize work, reduce unnecessary rework, and ensure that the team’s roadmap is aligned with the broader Developer Experience and Generative AI strategy. You use metrics to understand adoption, usage, quality, reliability, and business value, then continuously improve the team’s impact over time.

You should understand current trends in developer productivity, platform engineering, and enterprise Generative AI, and be able to turn that understanding into a clear, motivating vision for the team.

You will report to the Head of Developer Experience and Generative AI, working closely with them to shape strategy, guide execution, and help the team deliver safe, reliable, and useful AI capabilities at enterprise scale. You will work in a hybrid environment requiring your presence onsite at least 3 days per week.

Define and lead the technical direction for enterprise Generative AI platform capabilities within Developer Productivity

Manage and guide the Generative AI Engineering team, working closely with the Head of Developer Experience and Generative AI, engineers, product partners, security teams, identity teams, and internal stakeholders

Break down ambiguous, high-level problems into clear technical plans, milestones, and deliverables that the team can execute

Own delivery of team commitments, including prioritization, planning, dependency management, progress tracking, and communication of risks or trade-offs

Lead the team in building secure, reliable, observable, and maintainable AI platform services, including integrations with AI gateways, LLM providers, identity systems, developer tools, and enterprise systems

Define and track metrics for adoption, usage, quality, reliability, cost, and business value of the team’s capabilities

Support organizational health through goal setting, regular feedback, progress monitoring, coaching, and growth of team members

Manage technical debt and architectural consistency to support long-term maintainability and sustainable delivery

Stay close to the team’s technical work by contributing to design discussions, reviewing technical proposals, and occasionally contributing directly to implementation when appropriate

Identify and address technical challenges, delivery risks, operational issues, and cross-team blockers

Improve engineering excellence across the team by encouraging strong practices for automated testing, CI/CD, code review, observability, documentation, security, and maintainable software design

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

Experience with AI gateway or LLM proxy technologies such as Envoy AI Gateway, Kong AI Gateway, LiteLLM Proxy, OpenAI-compatible gateways, or equivalent systems

Experience with Model Context Protocol, MCP servers or clients, enterprise authorization patterns, or tool permission models

Experience leading platform engineering, developer tools, internal tools, or enterprise self-service platform teams

Experience with enterprise identity, access management, policy enforcement, audit logging, identity-aware proxies, API gateways, or zero-trust architecture

Experience with production GenAI patterns such as retrieval-augmented generation, agentic workflows, tool use, or LLM evaluation frameworks

Ability to communicate in Japanese

=========================================================================

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