OverviewWho we areCollaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.
Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, 'job flexibility benefits' [also known as I-140 or Adjustment of Status portability], etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.
Who we're looking for Toyota's Enterprise AI Department is looking for a passionate and highly motivated
AI Value Realization Manager.
The primary responsibility of this role is to make the value, cost, utilization, adoption, and performance of Toyota's AI portfolio visible and actionable by connecting custom AI products and purchased software to measurable business outcomes, lifecycle cost, and benefits.
Reporting to the Senior Manager, Enterprise AI Value & Cost Transparency, this leader will manage a hands-on engineering function spanning AI economics, FinOps, utilization analytics, portfolio measurement, and executive decision support. The role partners across business, engineering, finance, procurement, and vendor management to select, operate, govern, and demonstrate the value of AI solutions.
This position is based in Plano Texas. The selected candidate will be expected to reside within a commutable distance of this location. What you'll be doing AI value and portfolio transparency - Develop an AI investment measurement strategy linking objectives, adoption, utilization, technical performance, and lifecycle cost to measurable business outcomes.
- Maintain a portfolio view of custom products and purchased software from intake through retirement, including ownership, status, dependencies, cost, utilization, risk, and realized value.
- Create reusable business-case, benefit-tracking, and review methods with evidence-based checkpoints for pilot, production, scale, renewal, consolidation, and retirement.
- Partner with business and product leaders to define baselines, success measures, evidence plans, and high-impact roadmaps; identify solutions to optimize, renegotiate, consolidate, replace, or retire.
- Provide concise executive reporting and lead a high-performing engineering team through clear goals, coaching, and development.
AI cost transparency and optimization - Establish end-to-end cost visibility across custom AI products and commercial tools, including cloud infrastructure, model usage, data, observability, licenses, consumption fees, vendor services, and support.
- Design allocation, tagging, showback or chargeback, forecasting, and anomaly detection capabilities that attribute costs to products, use cases, environments, teams, and outcomes.
- Develop unit economics-such as cost per user, transaction, workflow, model call, token, or outcome-to guide architecture, model, and vendor decisions.
- Partner with finance, procurement, and engineering to improve budgets, forecasts, vendor management, license utilization, and total cost of ownership.
- Partner with AI Engineering, Strategy & Trust teams providing data that helps define standards on optimization, agents, infrastructure, licenses, and consumption plans.
Engineering platforms and automation - Lead the design, delivery, and operation of production-quality data services, dashboards, APIs, automation, and pipelines for AI value and cost management.
- Combine cloud billing, model and API usage, platform telemetry, product analytics, financial data, and business outcomes into trusted reporting products.
- Embed value, cost, usage, and benefit evidence into delivery, procurement, workflow, and monitoring systems.
- Partner with AI Engineering & Strategy teams on decisions related to platform value, cost, performance, risk, and portability.
What you bring - Bachelor's degree in computer science, AI, data science, engineering, mathematics, finance, statistics, business, or a related field, or equivalent practical experience.
- At least 6 years of experience in AI, software, cloud, data platforms, automation, FinOps engineering, or a related discipline, including leadership of complex enterprise initiatives and technical teams.
- Experience building cost visibility, allocation, forecasting, optimization, chargeback or showback, unit economics, dashboards, or analytical products for cloud, software, data, or AI platforms.
- Proficiency in Python, Java, JavaScript, C++, or a similar language, plus experience with APIs, data pipelines, infrastructure as code, cloud services, and observability platforms.
- Working knowledge of modern AI architectures and tools, including machine learning, generative AI, large language models, retrieval systems, evaluation, and agentic workflows.
- Understanding of AI contracts, product economics, cloud consumption, software licensing, procurement, financial planning, data quality, and enterprise technology operations.
- Strong problem-solving, executive communication, stakeholder management, and ability to translate business needs into technical plans and measurable operational, financial, utilization, and adoption outcomes.
Added bonus if you have - Relevant AI, machine learning, cloud, or FinOps certifications and automotive or enterprise IT experience.
- Experience with machine learning frameworks, agentic systems, or model training and fine-tuning.
- Experience managing engineering budgets, product lifecycle forecasts, or human-centered software design.
What we'll bringDuring your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights
include:
- A work environment built on teamwork, flexibility, and respect
- Professional growth and development programs to help advance your career, as well as tuition reimbursement
- Team Member Vehicle Purchase Discount
- Toyota Team Member Lease Vehicle Program (if applicable)
- Comprehensive health care and wellness plans for your entire family
- Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota, regardless of whether you contribute (if applicable)
- Paid holidays and paid time off
- Referral services related to prenatal services, adoption, childcare, schools, and more
- Tax-Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)
Belonging at ToyotaOur success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.
Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.
Have a question, need assistance with your application or do you require any special accommodations? Please send an email to .
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