Product Manager, Enterprise AI

As a Product Manager, Enterprise AI at Woven by Toyota, you will define the product vision for a large-scale compute management infrastructure, lead collaborations with various stakeholders, transform high-level requirements into actionable objectives, and work closely with engineering teams. You’ll prioritize tasks, analyze market trends, and gather insights from users to shape the product roadmap, all while ensuring the efficient delivery of exceptional AI-powered mobility solutions.

To qualify for the Product Manager, Enterprise AI role at Woven by Toyota, you need a Bachelor's degree in computer science, business, or a related field, along with at least 5 years of experience in product management, AI/Machine Learning, or software engineering. Strong communication skills, experience managing complex customer requirements, and a data-driven approach to decision making are also essential for this position. Additional experience in machine learning infrastructure and the automotive industry is highly beneficial.

At Woven by Toyota, the Product Manager, Enterprise AI plays a crucial role in integrating AI into products by collaborating closely with engineering teams and cloud solution providers. This entails leveraging machine learning tools to enhance product functionality, driving innovation, and ensuring that the AI solutions developed meet customer needs while efficiently utilizing resources. Continuous market analysis and user feedback also contribute to refining AI integrations for future mobility solutions.

Woven by Toyota offers a robust environment for career advancement for the Product Manager, Enterprise AI. As you lead projects and refine your expertise in AI and product management, you can take advantage of opportunities to grow within the company, potentially progressing to higher management roles or specializing in fields like AI strategy or automotive technologies. By consistently contributing to innovative mobility solutions, your career can flourish in tandem with the advancements at Woven.

Candidates can expect a collaborative and innovative work culture at Woven by Toyota as a Product Manager, Enterprise AI. The company weaves modern Silicon Valley innovation with time-tested Japanese craftsmanship, creating a diverse environment where creativity and teamwork thrive. Woven values strong communication and encourages its employees to share insights and ideas, fostering a workplace where everyone contributes to shaping the future of mobility.

When answering this question, highlight specific projects where you have led AI product development. Discuss your approach to defining the product vision, collaborating with cross-functional teams, and ensuring that user experiences meet business goals. Providing quantitative results, such as increased user engagement or sales, can strengthen your response.

Explain your methodology for prioritization, considering factors such as customer feedback, business impact, and development resources. You might refer to frameworks like MoSCoW or weighted scoring systems, demonstrating your ability to make informed decisions that align with product goals at Woven by Toyota.

Use the STAR method (Situation, Task, Action, Result) to articulate a specific challenge in managing AI products. Emphasize your problem-solving skills and ability to lead teams through adversity while focusing on valuable lessons learned and how they can be applied at Woven by Toyota.

Discuss specific metrics and analytics tools you use to measure product performance, such as user engagement scores, retention rates, or revenue generation data. Highlight your approach to leveraging this data to inform product decisions at Woven by Toyota and drive continuous improvement.

Share the strategies you implement for collecting customer feedback, such as surveys, focus groups, or direct user interviews. Discuss any tools or platforms used for gathering insights and how these inputs shape product development, particularly within the context of AI solutions at Woven.

Explain your communication strategies for engaging with various stakeholders, from engineering teams to upper management. Highlight your ability to create alignment and resolve conflicts while working towards shared goals, ultimately ensuring that everyone is on the same page throughout the product lifecycle.

Detail any relevant experience you possess with machine learning infrastructure, emphasizing your familiarity with cloud computing environments and how you've managed AI workloads. Discuss specific projects where you implemented machine learning solutions and their impact on product performance.

Share your resources and networks for staying informed about AI and mobility trends, such as attending conferences, participating in webinars, or following influential thought leaders in the industry. Emphasize your proactive approach to learning and how this knowledge informs your product management strategies.

Highlight the importance of user research in your product development process. Explain how you approach gathering insights about user needs and preferences, and discuss how you translate these insights into product enhancements to improve the customer experience at Woven by Toyota.

Outline the steps you took to ensure a successful product launch, from planning and execution to post-launch analysis. Focus on the collaborative efforts involved, the strategies applied, and the metrics used to measure the launch's success – showcasing how this experience aligns with the goals at Woven by Toyota.