About Toyota Connected:
If you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us. Come help us re-imagine what mobility can be today and for years to come!
Our Core Values: EPIC:
- Empathetic: We begin making decisions by looking at the world from the perspective of our customers, teammates, and partners.
- Passionate: We are here to build something great, not just for the money. We are always looking to improve the experience of our millions of customers
- Innovative: We experiment with ideas to get to the best solution. Any constraint is a challenge, and we love looking for creative ways to solve them.
- Collaborative: When it comes to people, we think the whole is greater than its parts and that everyone has a role to play in the success!
Key Responsibilities:
- Product Strategy & Vision
- Define and evolve product vision and roadmap for AI/ML solutions with a focus on computer vision and digital twin applications.
- Identify and prioritize high-impact use cases where digital twins can drive measurable business value.
- Backlog & Requirement Management
- Own the product backlog and collaborate with cross-functional teams to convert business needs into clear, actionable user stories.
- Balance technical feasibility, user needs, and business value to make trade-off decisions.
- AI & Computer Vision Expertise, Digital Twin Application
- Partner with data scientists and engineers to design, evaluate, and iterate on ML models, particularly in computer vision domains (e.g., object detection, visual inspection, scene understanding).
- Ensure ethical, explainable AI practices and appropriate dataset usage in model development.
- Translate the concept of digital twin into viable product features (e.g., simulations, real-time monitoring, predictive maintenance).
- Work with domain experts to model real-world systems digitally and align them with business goals.
- Stakeholder Communication. Act as the primary liaison between engineering teams, business leaders, and customers.
- Deliver product demos, write release notes, and present the product roadmap and outcomes to stakeholders. Execution & Delivery
- Ensure timely and high-quality delivery of features by managing sprints, prioritizing issues, and removing blockers.
- Drive product adoption, usage metrics, and continuous feedback loops for improvement.
You are a successful candidate if you have
- 7+ years of product management or ownership experience, preferably with ML/AI-based products.
- Hands-on experience delivering computer vision-based applications (industrial inspection, autonomous systems, etc.).
- Familiarity with digital twin technologies, IoT data integration, and real-time simulation use cases.
- Strong understanding of ML concepts (model lifecycle, annotation, model performance metrics, etc.).
- Experience with agile methodologies and tools like JIRA, Confluence, etc.
- Excellent written and verbal communication skills with a sharp customer-first mindset.
Preferred Skills:
- Experience building products in AWS cloud
- Familarity using ML frameworks and Libraries including HuggingFace, Pytorch, Framework
- Understanding of edge AI deployment, sensor data processing, or industrial automation.
- Exposure to simulation platforms like Unity, Unreal, Omniverse
- Domain experience in manufacturing, ADAS, or smart infrastructure is a plus.