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What we offer:Job Responsibilities:
We are seeking a Technical Product Manager to lead the definition, delivery, and scaling of analytical products powered by machine learning and emerging GenAI capabilities. This role will translate business needs into product roadmaps, prioritized backlogs, and production-ready solutions, working closely with data scientists, engineers, architects, business stakeholders, and governance teams. The ideal candidate combines strong technical fluency in AI/ML and cloud platforms with hands-on product leadership and Agile delivery experience.
Major Responsibilities
Define and own product vision, strategy, roadmap, and release priorities for analytical, machine learning, and selected GenAI products.
Partner with business stakeholders and end users to identify high-value problems, validate needs, and translate them into product requirements, epics, user stories, and acceptance criteria.
Lead the end-to-end product lifecycle from discovery and business case development through MVP, pilot, production rollout, adoption, and value realization.
Work with data science and engineering teams to shape ML-driven and GenAI-enabled solutions, including appropriate RAG-based use cases, with focus on usability, technical feasibility, and responsible deployment.
Own the product backlog and delivery cadence; facilitate Agile ceremonies including sprint planning, backlog refinement, reviews, retrospectives, and release planning.
Lead and coordinate a cross-functional product squad of approximately 4-5 team members, aligning dependencies across architecture, engineering, data, security, and business teams.
Define product success metrics and monitor adoption, product performance, and business impact such as productivity, quality, cost, or cycle-time improvement.
Communicate roadmap, progress, dependencies, risks, and realized outcomes to senior leaders and cross-functional stakeholders.
Knowledge and Education
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, Business/Technology Management, or a related field.
Agile, Scrum, Product Owner, or Product Management certification is preferred.
Work Experience
3 - 5 years of experience in technical product management or product ownership, with demonstrated experience developing analytical or data products, particularly machine learning-enabled solutions.
Experience delivering AI/ML products across discovery, development, launch, adoption, and continuous improvement stages.
Experience with GenAI products or use cases is preferred, including familiarity with LLM-enabled applications, RAG, MCP etc. concepts.
Experience leading or managing a small cross-functional delivery team or squad of approximately 3 – 4 members.
Skills and Competencies Required to Perform the Job
Product Management: Ability to create product strategies and roadmaps, manage priorities, develop business cases, write clear requirements and user stories, and balance user value with technical feasibility.
Analytical and ML Products: Sound understanding of the machine learning product lifecycle, data needs, model performance considerations, deployment dependencies, and product monitoring.
GenAI Concepts: Working understanding of LLM-enabled applications, embeddings, vector search, prompt considerations, retrieval-augmented generation (RAG), and evaluation fundamentals.
Cloud Platforms: Working knowledge of AWS and Azure platforms and how cloud data, analytics, and AI/ML services support product development and deployment.
Agile Delivery: Hands-on experience with Agile methodologies, Scrum or Kanban practices, sprint planning, backlog refinement, daily stand-ups, sprint reviews, retrospectives, and release planning.
Team Leadership: Ability to guide a small cross-functional team, resolve delivery blockers, align dependencies, and foster ownership and accountability.
Stakeholder Communication: Ability to translate technical AI/ML concepts into business terms and clearly communicate decisions, progress, risks, and value to technical and non-technical stakeholders.
Business Value Measurement: Experience defining KPIs and measuring adoption, efficiency gains, cost impact, quality improvements, cycle-time reduction, or other product outcomes.
Governance and Responsible AI: Awareness of security, data privacy, model risk, responsible AI, and governance considerations when delivering AI-enabled products.
Tools: Experience with product delivery and collaboration tools such as Jira, Azure DevOps, Power BI, Confluence, or equivalent platforms.
Working Conditions and Environment
No Travel
Any Additional Information
Excellent English communication skills, both spoken and written.
Strong analytical, problem-solving, prioritization, and decision-making abilities.
Ability to collaborate effectively across product, business, technology, and governance teams.
At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, Business/Technology Management, or a related field
- 3-5 years of experience in technical product management or product ownership
- Experience developing analytical or data products, particularly machine learning-enabled solutions
- Experience delivering AI/ML products through discovery, development, launch, adoption, and continuous improvement
- Experience with GenAI products or use cases, including LLM-enabled applications, RAG, or MCP concepts
- Experience leading or managing a small cross-functional delivery team or squad
- Ability to create product strategies and roadmaps, manage priorities, develop business cases, and write requirements and user stories
- Understanding of the machine learning product lifecycle, data needs, model performance, deployment dependencies, and product monitoring
- Working knowledge of LLM applications, embeddings, vector search, prompt considerations, RAG, and evaluation fundamentals
- Working knowledge of AWS and Azure cloud platforms and their data, analytics, and AI/ML services
- Hands-on experience with Agile, Scrum, or Kanban practices and ceremonies
- Ability to guide cross-functional teams, resolve delivery blockers, and align dependencies
- Ability to communicate technical AI/ML concepts to technical and non-technical stakeholders
- Experience defining KPIs and measuring adoption, efficiency, cost, quality, cycle-time, or other product outcomes
- Awareness of security, data privacy, model risk, responsible AI, and governance considerations
- Experience with Jira, Azure DevOps, Power BI, Confluence, or equivalent tools
- Agile, Scrum, Product Owner, or Product Management certification
- Excellent spoken and written English communication skills
What the Team is Saying
Magna International Compensation & Benefits Highlights
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Healthcare Strength — Medical plan choice includes Enhanced PPO, Standard PPO, and an Advantage HDHP with free preventive care and $0 Teladoc, with in‑network deductibles as low as $200 and out‑of‑pocket maximums starting at $2,000. Company‑paid short‑term and long‑term disability plus basic life/AD&D, along with enhanced dental/vision options in 2026, reinforce comprehensive coverage.
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Retirement Support — The 401(k) design features automatic enrollment, a 3% nonelective company contribution after six months, and a 50% match on the first 6% employees contribute. Plan documents and recent filings corroborate this structure, and some divisions also highlight profit‑sharing as part of total rewards.
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Parental & Family Support — U.S. materials outline paid parental leave for non‑union employees (up to five consecutive weeks at 66 2/3% pay) that coordinates with STD/FMLA and allows PTO top‑ups. Mental health resources and an Employee & Family Assistance Program add family‑oriented support across plans.
Magna International Insights
What We Do
We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries. We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.
Why Work With Us
At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.
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Magna International Teams
Magna International Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.
