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Staff Product Manager – ATP Sight, Sense Products
Ford Motor Company. Contribute to the product strategy and multi-release roadmap for the Sight vertical, aligned to the broader ATP enterprise direction.
Posted 10/10/2026full-timeRedford • Michigan • United StatesLead💰 $115,500 - $218,100 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML product management, including the ability to define product strategy, manage backlogs, and monitor KPIs for image-based anomaly detection. Strong collaboration skills with cross-functional teams and stakeholders in manufacturing environments are essential.
Highest-signal resume keywords
AI/ML Product LifecycleAnomaly Detection ConceptsAgile/SAFe Product DeliveryStakeholder ManagementManufacturing Operations Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product ManagementData StrategyModel Performance MetricsMLOps DeploymentImage-Based Data ConceptsTechnical Requirements TranslationNetwork ArchitecturesSoftware ArchitecturesProduct KPIsBacklog Prioritization
Soft Skills
Strong CommunicationGlobal CollaborationStakeholder EngagementCustomer Feedback Loop EstablishmentProblem-Solving
Tools & Technologies
JiraRallyAI/ML ToolsData Science PlatformsProduction System Platforms
Certifications & Qualifications
Bachelor's Degree in EngineeringBachelor's Degree in Computer ScienceBachelor's Degree in Data ScienceMaster's Degree in Software EngineeringPhD in Technical Product Management
Industry Keywords
Industrial TechnologyManufacturingQuality EngineeringPlant OperationsZero-Integration Deployment
About the role
Key responsibilities & impact- Contribute to the product strategy and multi-release roadmap for the Sight vertical, aligned to the broader ATP enterprise direction.
- Lead customer and stakeholder interviews at Ford plants to identify high-value problem statements and translate them into prioritized product requirements.
- Partner with data science and engineering teams to define semantic layers, labeling strategy, and model performance criteria for image-based anomaly detection models.
- Own and prioritize the Vision/Sense product backlog based on ROI, plant demand, technical feasibility, and program milestones.
- Define and monitor product KPIs, including detection accuracy, false-positive/negative rates, OEE impact, scrap/warranty reduction, and deployment lead time.
- Establish customer feedback loops to monitor product health, adoption, and value realization after deployment.
- Partner with launch teams to make products factory-ready, support zero-integration deployment into the Ford Production System platform, and accelerate pilot-to-scale rollout.
- Serve as the primary Sight Vertical interface to the Core platform, defining platform capabilities, data models, and ML/infrastructure requirements.
- Drive Vision and Sense products toward prescriptive, closed-loop capabilities connected to issue-resolution and maintenance workflows.
- Communicate product strategy, progress, and delivered value to leadership, plant stakeholders, and cross-functional partners.
Requirements
What you’ll need- Bachelor's degree in Engineering, Computer Science, Data Science, or a related technical field.
- 5-8+ years of experience in product management, with direct experience owning development, deployment, and scale of AI/ML or industrial technology products.
- Strong fluency in the AI/ML product lifecycle: data strategy, model performance metrics, anomaly detection concepts, and MLOps deployment.
- Demonstrated experience in manufacturing or industrial operations environments, with direct exposure to plant floor, maintenance, or quality engineering contexts.
- Strong ability to translate complex image-based data concepts into clear business and technical requirements.
- Understanding of network and hardware/software architectures relevant to industrial AI/ML deployment.
- Experience with Agile/SAFe product delivery and tools such as Jira, Rally, or equivalent.
- Strong stakeholder management skills, including experience engaging manufacturing leadership and cross-functional technical teams.
- Experience articulating platform and infrastructure requirements to a shared/central engineering team on behalf of a product line's needs.
- Strong global collaboration experience across NA, EU, and international manufacturing organizations.
- Willingness to travel globally to Ford manufacturing sites as needed.
- Master's degree or PhD in Software Engineering, Data Engineering, or Technical Product Management is listed as an additional qualification.
Benefits
Comp & perks- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year's Day
- Paid time off and the option to purchase additional vacation time