AI Product Manager
Wiraa
Job Overview
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Job Description
About Hitachi Energy
Hitachi Energy is a global technology leader dedicated to advancing electrification and powering a sustainable energy future through innovative power grid solutions with digital integration at the core. With a rich history spanning over a century, the company specializes in mission-critical technologies such as high-voltage systems, transformers, automation, and power electronics. Hitachi Energy's solutions are trusted by more than three billion people worldwide, enabling reliable and efficient energy distribution. Headquartered in Switzerland, the organization employs over 50,000 professionals across 60 countries and generates approximately $16 billion USD in annual revenue. The company's commitment to innovation, sustainability, and technological excellence positions it as a pioneer in addressing the world's most urgent energy challenges, including balancing rising electricity demand and decarbonizing power systems.
About The Role: AI Product Manager
We are seeking an experienced AI Product Manager to lead the design and implementation of Proof of Concepts (PoCs) for Multi-Agent Systems (MAS). This role is pivotal in driving innovation within enterprise AI applications by building intelligent agents, integrating them into distributed environments, and collaborating across cross-functional teams to deliver scalable and impactful AI solutions. The AI Product Manager will spearhead discovery initiatives through stakeholder interviews and current-state mapping, identify high-value MAS opportunities, and translate these insights into comprehensive product artifacts such as problem statements, PRDs, user stories, acceptance criteria, and success metrics. Managing the entire lifecycle from PoC to MVP and production, defining MAS system architecture, and leveraging platform resources are key responsibilities. The role also involves running agile ceremonies, managing timelines, ensuring data security and quality, embedding responsible AI practices, and measuring the impact of deployed solutions. The ideal candidate will possess strong communication skills, technical expertise in MAS initiatives, and a proven track record in creating and implementing AI products, contributing to the company’s mission of delivering innovative and sustainable energy solutions.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Proven experience in Multi-Agent Systems (MAS) initiatives and AI product development
- Strong understanding of AI tools and their application in design processes
- Experience in creating and deploying data-driven and AI-powered products
- Excellent communication and influencing skills across technical and executive audiences
- Ability to explain complex technical ideas to diverse audiences
- Experience working collaboratively in cross-functional teams
- Proficiency in English, both spoken and written
Responsibilities
- Lead discovery activities, including stakeholder interviews and current-state process mapping (SIPOC, Swimlane, BPMN), to identify opportunities for MAS integration
- Conduct bottleneck and root-cause analysis to surface high-value MAS opportunities
- Translate insights into clear problem statements, product requirement documents (PRDs), user stories, acceptance criteria, and success metrics (OKRs/KPIs)
- Own the product lifecycle from PoC to MVP and production deployment, maintaining and prioritizing the development backlog
- Define MAS system architecture, specifying multi-agent architectures, orchestration patterns, and integration points aligned with platform standards
- Partner with platform/Center of Excellence (CoE) teams to leverage models, frameworks, and reusable components; contribute to process maps, playbooks, and templates
- Manage agile ceremonies, coordinate cross-functional teams (data, ML, security, application), and remove delivery blockers to ensure timely execution
- Lead readiness and adoption efforts, including UAT strategy, change management, and rollout planning to achieve measurable outcomes
- Coordinate with data owners to ensure trusted data access, quality, lineage, and system integration (CRM, ERP, MDM)
- Embed responsible AI principles by enforcing safety, privacy, fairness, and auditability in line with governance standards
- Track and communicate key metrics such as cycle-time, accuracy, data quality, adoption, and cost-to-serve; iterate continuously based on feedback
- Serve as a single-threaded owner responsible for reporting project status, risks, and decisions to sponsors and technical leadership
Benefits
- Comprehensive health, dental, and vision insurance plans
- Retirement savings options and financial planning resources
- Flexible work arrangements including remote work opportunities
- Generous paid time off and holiday leave
- Professional development programs and continuous learning opportunities
- Wellbeing initiatives supporting physical and mental health
- Collaborative and inclusive work environment fostering innovation
Equal Opportunity Employer
Hitachi Energy is committed to fostering an inclusive environment where all employees and applicants are treated with respect and fairness. We provide equal employment opportunities regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other characteristic protected by applicable law. We believe diversity enriches our culture and drives innovation, and we welcome candidates from diverse backgrounds to join our team.
Key skills/competency
- Multi-Agent Systems (MAS)
- AI Product Development
- Product Lifecycle Management
- Agile Methodologies
- Stakeholder Management
- System Architecture
- Data Security & Quality
- Responsible AI Principles
- Cross-functional Collaboration
- Strategic Planning
How to Get Hired at Wiraa
- Research Hitachi Energy's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume and cover letter to highlight experience in Multi-Agent Systems, AI product development, and agile methodologies, directly addressing the AI Product Manager role's requirements.
- Showcase AI expertise: Prepare to discuss your experience defining MAS system architecture, implementing responsible AI, and leading cross-functional AI initiatives during your Hitachi Energy interview.
- Demonstrate problem-solving: Be ready to articulate how you identify high-value opportunities, manage product backlogs, and drive solutions from PoC to production at Hitachi Energy.
- Network effectively: Connect with current Hitachi Energy employees, especially those in AI or product roles, on LinkedIn to gain insights and potentially secure referrals.
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