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About This Role
Overview
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At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- Work Type: Hybrid
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight \& Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence\-based, timely decision making.
The Sales \& Services AI team is part of the Global Data Insights \& Analytics (GDIA) team. We aspire to navigate Ford through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to realize the enterprise’s known goals, reveal hidden opportunities and achieve data superiority. We deliver AI solutions that integrate with Ford’s business processes to unlock significant value to the enterprise
In this position...
As an AI Product Manager, you will lead the strategy, development and delivery of key AI products. Imagine and deliver the next generation of AI\-powered products that transform our business from reactive to predictive, personalized and seamless. Be at the forefront of the AI revolution to build intelligent solutions that enhance various touchpoints of the journey by anticipating needs, resolving issues instantly, build lasting loyalty while optimizing business operations.
Are you passionate about applying technology to solve business problems? Are you motivated to apply your AI skills to build the solutions that will support sales and increase productivity. Our group has been tasked to develop scalable AI solutions for the Sales and Services group.
Does it sound exciting? Then, join our team as a Product Manager for AI Products.
Based in Dearborn, MI, this is a hybrid position with a required four\-day onsite presence each week. Relocation assistance may be available for qualified candidates.
What you'll do...
Product Strategy \& Vision:
- Develop and articulate the product vision working closely with business partners, aligning it with Ford’s broader digital transformation goals. Products are focused on using AI to improve the effectiveness of the Sales \& Services organization.
- Empathize and deeply understand your target audience and personas to define the right problem to solve with AI.
- Define and drive the product roadmap, ensuring it reflects the evolving needs of the business, technological advancements, and market trends.
- Prioritize product features and enhancements based on customer feedback, data\-driven insights, and business impact.
- Focus on Product Market Fit by maintaining a balance between business viability, user desirability and technical feasibility.
- Define quantitative and qualitative measures of success that drive value to Ford’s core objectives.
Stakeholder Management:
- Collaborate with key stakeholders across various business units to understand their needs and translate them into product features.
- Manage relationships with product stakeholders, providing regular updates on progress, challenges, and opportunities.
- Act as a liaison between technical teams and business units, ensuring clear communication and alignment of goals.
- Champion an iterative development approach with our business partners, driving delivery of Minimum Viable Products and continuous improvement through careful and deliberate prioritization.
- Engage with your target audience in understanding their jobs to be done and needs leading to high quality product development.
Development \& Delivery:
- Lead a cross\-functional product team (AI engineering, software engineering, design, data engineering, etc.) in the design, development, and deployment of the AI products.
- Collaborate with product group leaders to lead and adopt operational standards to streamline value delivery and maximize outcomes within rapidly moving enterprise\-level initiatives
- Work hands\-on with the development team to prioritize, plan and deliver AI solutions that deliver business outcomes.
- Ensure the solution is scalable, secure, and reliable.
- Drive the integration of AI/ML capabilities into customer and business facing applications.
- Collaborate with the product team to define specifications, requirements and acceptance criteria for deliverables
- Work with Product Designers to ensure timely delivery of designs and assets to the development team.
- Create assets to guide product development work (Discovery, Framing \& Scoping Documents, PRDs, Journey Maps, opportunity trees, user stories)
- Maintain an actionable backlog of user stories for development team.
- Define, track and analyze key product metrics and KPIs to inform product strategy, prioritize features and drive continuous improvement and business outcomes.
User Experience \& Adoption:
- Design and implement user onboarding and training programs to increase adoption.
- Gather and analyze user feedback to continuously improve the solutions usability, performance, and feature set.
- Develop documentation, guides, and best practices to support users in effectively leveraging the solution for their needs.
- Conduct product experiments, user interviews and other validation techniques to gather feedback and product insights.
- Leverage analytical methods to understand and analyze user experience and adoption.
Continuous Learning, Innovation \& Contribution:
- Stay informed about the latest trends and technologies in AI and cloud computing to drive innovation.
- Encourage a culture of continuous improvement within the team, fostering innovation and experimentation to keep the solution at the forefront of industry standards.
- Actively participate in nurturing the Product Management Community of Practice
- Help innovate and iterate on agile PM processes and share learnings.
You'll have...
- Bachelor's degree or a combination of education and equivalent work experience.
- 5\+ years with progressive responsibilities in an agile software development environment.
- 3\+ years of experience as a Product Manager with responsibilities to include defining product vision, strategy, product roadmaps and building and managing backlogs and similar.
Even better, you may have...
- Master’s degree
- Leadership experience
- Experience collaborating directly with Agile software methodologies (Scrum, eXtreme Programming, Kanban)
- Skilled at defining and prioritizing product features.
- Strong leadership and communication skills and the ability to teach others.
- Ability to work collaboratively with others and navigate complex decision making.
- Ability to collaborate well with engineers, designers, and business partners.
- Previous success delivering a product to market with an Agile development team, and ongoing development and support of production applications.
- Curious about new technologies and a demonstrated history of continuous learning mindset.
- Practice in Lean/Lean Startup thinking, human\-centered product development and Agile Software development
- Have exposure to lightweight product development methods such as user story mapping and/ or rapid prototyping
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp\-up programs, subsidized back\-up childcare 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.
This position is a salary grade of 7 or 8 and ranges from $99,600\- 192,900\.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here:
https://fordcareers.co/GSR
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1\-888\-336\-0660\.
\#LI\-Hybrid
\#LI\-LA1
Salary Context
This $99K-$192K range is in the lower quartile for AI Product Manager roles in our dataset (median: $185K across 167 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 4,317 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Ford Motor Company, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills Required
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $217,100 based on 471 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $194,400. This role's midpoint ($146K) sits 33% below the category median. Disclosed range: $99K to $192K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
Ford Motor Company AI Hiring
Ford Motor Company has 7 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager, Data Scientist, AI Software Engineer. Positions span Dearborn, MI, US, Remote, US. Compensation range: $166K - $218K.
Location Context
Across all AI roles, 15% (635 positions) offer remote work, while 3,657 require on-site attendance. Top AI hiring metros: New York (1,650 roles, $220,000 median); San Francisco (1,335 roles, $265,000 median); Los Angeles (708 roles, $214,112 median).
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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