Job description

At Siemens, we help organizations transform maintenance and operations through connected insights, AI-powered technology, and intelligent asset management solutions. Our software enables customers to manage the full lifecycle of assets, facilities, and infrastructure while improving efficiency, reducing risk, and optimizing long-term investments. By connecting data, people, and processes, we empower organizations to make smarter decisions, maximize asset performance, and achieve more resilient operations. Description We are seeking a Senior Product Manager to shape how AI and automation improve the way our Siemens Asset Management Software organization operates. In this highly visible, internal-facing role, you will partner across the business and with AI Engineering to turn complex opportunities into practical solutions, measurable outcomes, and scalable ways of working. This Senior Product Manager owns the product function for the SI AMS internal AI team. The clients are not external customers. They are SI AMS employees across R&D, Sales, Customer Success, Finance, Operations, and every other group in the business. The role is to identify where AI and automation can improve how SI AMS operates, build a prioritized roadmap for the AI Engineering team, and ensure that every solution delivered drives measurable outcomes for the groups it was designed to support. The Senior Product Manager works directly with the SI AMS AI Engineering team, including engineers, architects, and an AI Product Owner. The role reports to the Head of Product Ownership and Product Enablement and sits at the center of two functions: business problem discovery and AI delivery. This is a build-from-zero role. There is no existing discovery function, intake process, or roadmap to inherit. The successful candidate will build those capabilities from the ground up, with active organizational support and leadership engagement from day one. This is the right opportunity for someone who wants real ownership of the discovery function, the roadmap, and the outcomes. You’ll make an impact by • Building and running the internal discovery function, with structured relationships across SI AMS to surface, validate, and prioritize automation opportunities before they become requests • Writing clear problem statements for each initiative, with defined baselines and success criteria, before any engineering work begins • Assessing AI feasibility, whether a problem is technically tractable, whether the necessary data exists, and whether it warrants investment of engineering capacity • Mapping and redesigning workflows to identify where AI, automation, and human judgment should each apply, including decision rights, exception handling, and escalation paths • Owning the roadmap, sequencing work against business outcomes and strategic alignment, and making the call when groups compete for the team’s time • Using hands-on experimentation as a core method, building prototypes, running prompt and context engineering tests, and generating evidence about what to build, revise, or stop • Tracking outcomes after launch and being responsible for the follow-up when tools fall short of adoption targets, not handing the diagnosis off • Leading organizationally across SI AMS, not just delivering to it. That means influencing how senior leaders think about AI investment, helping business groups build AI readiness, and shaping how the function matures over time This is how you’ll win us over • 8+ years in product management, technical product management, product ownership, business-process transformation, or a closely related role, with end-to-end ownership of a software, data, or AI-enabled product from discovery through adoption • Recent hands-on experience delivering at least one AI/ML, generative AI, intelligent automation, or advanced analytics initiative in a production or operational environment • Working fluency in LLM applications, prompt engineering, retrieval-augmented generation, agentic systems, and AI evaluation, enough to challenge assumptions, assess feasibility, and prototype independently using tools like Claude Code, Copilot Studio, Azure AI Foundry, n8n, or Power Automate • Experience discovering and translating ambiguous internal user needs, where the requester often does not know what they actually need, and turning them into scoped problem statements with clear success criteria • Ability to map and redesign business workflows, decisions, dependencies, exceptions, controls, and handoffs, and define the baselines, critical metrics, and instrumentation needed to know whether a solution actually worked • Demonstrated ability to lead cross-functional initiatives at a senior level, building alignment across business and technical stakeholders, driving decisions, and owning outcomes without formal authority • Extreme ownership and relentless execution, taking unclear problems from vague to actionable, delivering on commitments without being directed, and owning outcomes, including when results miss the mark • Customer-centric focus and steadfast curiosity about how technology can change how organizations work. You surface problems ahead of formal requests, challenge assumptions, and keep pushing to understand what AI can realistically do • Clear and direct communication across Engineering, business teams, and leadership, with the ability to influence priorities, navigate competing viewpoints, and resolve trade-offs without formal authority • A bachelor’s degree in computer science, engineering, information systems, data science, business, or a related subject area, or equivalent practical experience You’ll thrive even more if you also bring • Experience in an internal-facing product role, where customers are colleagues and influence depends entirely on the trust you build • Resourceful problem-solving when there is no playbook, moving forward through unclear requirements, shifting constraints, and no established template • Grit and composure under fire, deciding with incomplete information, staying steady when priorities shift, and holding accountability when outcomes miss • Empathy and infectious enthusiasm, building real relationships, bringing energy that moves hard problems forward, and making the Engineering team want to work on what you bring • Hands-on experience with workflow automation, iPaaS, low-code tools, or event-driven integration, and a clear sense of where automation ends and AI begins • Understanding of responsible AI concepts and safeguards, including data privacy, bias mitigation, explainability, prompt injection protection, human oversight, and enterprise governance At Siemens, you’ll have the opportunity to grow your career while helping organizations operate smarter, safer, and more sustainably. We foster a culture of innovation, collaboration, and continuous learning, where employees are empowered to make a difference every day. If you’re excited about solving real-world challenges and shaping the future of asset management, we encourage you to apply. Qualified Applicants must be legally authorized for employment in the United States. Qualified Applicants will not require employer sponsored work authorization now or in the future for employment in the United States.    Our Commitment to Equity and Inclusion in our Diverse Global Workforce: We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the every day with us. Siemens maintains a Drug Free workplace in accordance with applicable law. #AMS You’ll Benefit From Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: benefitsquickstart.com The pay range for this position is $102,459 - $175,644 annually. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. Reasonable Accommodations If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form . If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status. Pay Transparency Siemens follows Pay Transparency laws. Application Deadline This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool. California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, click here . Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.

Requirements

Must-haves

You’ll make an impact by
Building and running the internal discovery function, with structured relationships across SI AMS to surface, validate, and prioritize automation opportunities before they become requests
Writing clear problem statements for each initiative, with defined baselines and success criteria, before any engineering work begins
Assessing AI feasibility, whether a problem is technically tractable, whether the necessary data exists, and whether it warrants investment of engineering capacity
Mapping and redesigning workflows to identify where AI, automation, and human judgment should each apply, including decision rights, exception handling, and escalation paths
Owning the roadmap, sequencing work against business outcomes and strategic alignment, and making the call when groups compete for the team’s time
Using hands-on experimentation as a core method, building prototypes, running prompt and context engineering tests, and generating evidence about what to build, revise, or stop
Tracking outcomes after launch and being responsible for the follow-up when tools fall short of adoption targets, not handing the diagnosis off
This is how you’ll win us over
Recent hands-on experience delivering at least one AI/ML, generative AI, intelligent automation, or advanced analytics initiative in a production or operational environment
Experience discovering and translating ambiguous internal user needs, where the requester often does not know what they actually need, and turning them into scoped problem statements with clear success criteria
Demonstrated ability to lead cross-functional initiatives at a senior level, building alignment across business and technical stakeholders, driving decisions, and owning outcomes without formal authority
Extreme ownership and relentless execution, taking unclear problems from vague to actionable, delivering on commitments without being directed, and owning outcomes, including when results miss the mark
Clear and direct communication across Engineering, business teams, and leadership, with the ability to influence priorities, navigate competing viewpoints, and resolve trade-offs without formal authority
A bachelor’s degree in computer science, engineering, information systems, data science, business, or a related subject area, or equivalent practical experience
You’ll thrive even more if you also bring
Experience in an internal-facing product role, where customers are colleagues and influence depends entirely on the trust you build
Resourceful problem-solving when there is no playbook, moving forward through unclear requirements, shifting constraints, and no established template
Grit and composure under fire, deciding with incomplete information, staying steady when priorities shift, and holding accountability when outcomes miss
Empathy and infectious enthusiasm, building real relationships, bringing energy that moves hard problems forward, and making the Engineering team want to work on what you bring
Hands-on experience with workflow automation, iPaaS, low-code tools, or event-driven integration, and a clear sense of where automation ends and AI begins
Understanding of responsible AI concepts and safeguards, including data privacy, bias mitigation, explainability, prompt injection protection, human oversight, and enterprise governance
Qualified Applicants must be legally authorized for employment in the United States. Qualified Applicants will not require employer sponsored work authorization now or in the future for employment in the United States.
Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

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Platform: avature
Effort: medium

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