AI/ML Technical Product Manager
United States
Ford Motor Company
Since 1903, we have helped to build a better world for the people and communities that we serve. Welcome to Ford Motor Company.Join Ford’s mission to revolutionize automotive manufacturing through innovative, intelligent software. As an AI/ML Technical Product Manager, you'll be at the intersection of the digital and physical—developing cutting-edge applications that bring data, automation, and intelligence to the factory floor. You'll help build the platforms that power our plants, enabling real-time insights and resilient operations that scale with the future of mobility.
This is a great opportunity to drive the delivery of a key enterprise objective in building Ford’s flagship products – bring AI/ML Innovation in Manufacturing to have significant business impact. In this role you will be working with a unique blend of engineers, data scientists, DevOps, automation, controls, manufacturing and robotics specialists – ideating, building and scaling Billion-Dollar ideas for the manufacturing of iconic Ford products. This position is highly cross-functional that requires an experienced Product Manager with high business acumen and an acute sense of technology frontiers, to help bridge a broad spectrum of functional teams and arrive at impactful business cases that can be industrialized with the latest technologies. This is a rare opportunity to put your signature on how Ford manufactures vehicles.
About Ford Manufacturing + Technology -
Ford is transforming how vehicles are built—from traditional assembly lines to digitally connected, intelligent manufacturing systems. At the core of this transformation is software: enabling smarter decisions, predictive maintenance, real-time process optimization, and seamless data flow between machines, people, and the cloud.
Our teams build modern, scalable applications that blend industrial systems with cloud-native architecture, unlocking value from data streams at the edge to analytics in the cloud. Whether it's reducing downtime, improving quality, or accelerating new vehicle launch readiness, we develop the tools that drive Ford’s global operations forward.
Key Responsibilities -
- Play a key role in shaping and executing our product roadmap, working with cross-functional teams to deliver innovative AI-powered solutions that optimize the manufacturing processes for Ford’s Worldwide plants.
- Design, implement, and refine new features from scratch using our low-code/no-code platform, accelerating the speed of experimentation and deployment.
- Leverage your software engineering experience to contribute to the hands-on development and optimization of our AI-driven product suite, ensuring alignment with business goals and OKRs.
- Collaborate with the engineering team to implement AI-powered product features, focusing on enhancing the user experience and driving adoption.
- Use data-driven insights and technical expertise to identify product improvements that optimize for cost and quality corporate objectives.
- Lead A/B testing, multivariate testing, and other experiments to measure the impact of AI-driven initiatives.
- Prioritize and manage the implementation of product enhancements, collaborating closely with engineering teams to ship features that align with strategic goals.
- Regularly report on product performance, providing actionable recommendations for continuous improvement.
- Build and maintain strong relationships with both internal teams and external partners to facilitate product innovation and growth.
Deliverables -
- Product Roadmap: Ensure the product has a clear roadmap and teams structured to deliver the roadmap with quality
- Business Value commitments: Meet the business value commitments
- Operations Support: Ensure products meet operational commitments
- Budget Management: Meet the financial and headcount budgets set for the team
Minimum Qualifications -
- Bachelor’s degree in computer science, Engineering, or work experience equivalent.
- 6+ years of experience in a combined product and software engineering role.
- 3+ years of hands-on experience shipping code and building AI/ML products; strong ability to contribute to technical execution when needed.
- 3+ years of demonstrated experience building / product-owning AI/ML applications for industrial use cases that demand a combination of business / manufacturing / technical prowess.
- Experience in working with Agile and Lean methodologies including defining and prioritizing product features and working with backlog management tools.
- Proven experience driving business OKRs through product development, data analysis, and user experience optimization.
- Strong analytical skills with a focus on data-driven product decision-making.
- Proficiency in modern technology stack and familiarity with cloud infrastructure and AI technologies.
- High organizational, planning and time management skills; ability to prioritize effectively in a fast-paced, complex and global environment.
- Perform at an extremely high level of technical competence and maturity under pressure.
- Experience with Test-Driven Development, Paired Programming, and Continuous Integration & Development.
- Excellent verbal and written communication skills.
- Entrepreneurial mindset with a passion for building products that improve patient outcomes.
- Strong attention to detail and ability to prioritize effectively.
- Successfully built and shipped consumer or business facing products; worked in a large team; and has Integration experience
Preferred Qualifications -
- Exposure to GCP Functions and Services for building distributed AI/ML applications using Public or Hybrid Cloud Infrastructures.
- Exposure and experience with Ford Architectural standards, processes, and documentation.
- Proven ability to lead a team to deliver on large complex and ambiguous projects that are highly interfaced from end-to-end.
- Ability to communicate effectively with business team members on a global level and negotiate solutions and drive consensus across platforms.
- Strong organizational skills with the ability to coordinate many services and a wide range of global business and technology partners.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Agile Architecture Computer Science Data analysis DevOps Engineering GCP Industrial Machine Learning OKR Predictive Maintenance Robotics TDD Testing
Perks/benefits: Career development Flex hours Flex vacation Health care Medical leave Parental leave Startup environment
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