Product Manager - Internal AI

5+ 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

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

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.

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.

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.

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