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: As Product Manager for Data and Integrations , you will define and execute the product strategy that connects our asset management solutions with the data, systems, and workflows our customers rely on. You will translate complex customer and business needs into pragmatic product decisions, applying AI where it creates measurable value and building scalable data and integration capabilities that improve interoperability, accelerate adoption, and enable smarter asset lifecycle decisions. Working across engineering, design, sales, services, partners, and customers, you will balance near-term delivery with a clear long-term platform vision. You’ll make an impact • Own the product vision, strategy, roadmap, and measurable outcomes for data, APIs, and integrations across our asset management portfolio. • Discover and prioritize customer problems by combining direct customer engagement, product analytics, market insight, and technical feasibility into clear product requirements and investment decisions. • Partner with engineering, architecture, design, cybersecurity, and data teams to deliver secure, scalable, observable, and well-documented integration and data capabilities. • Guide pragmatic AI product development from problem validation through launch, including data readiness, responsible AI considerations, human oversight, model performance, and ongoing value measurement. • Collaborate with sales, services, customer success, and technology partners to shape go-to-market plans, remove adoption barriers, and turn implementation findings into product improvements. • Establish product success metrics and use evidence to make trade-offs, communicate progress, manage dependencies, and drive reliable execution across globally distributed teams. This is how you'll win us over • Bring 3-5 years of product management or closely related experience delivering B2B SaaS or enterprise software products, including responsibility for strategy, discovery, roadmaps, requirements, launches, and product outcomes. • Hold a bachelor’s degree in computer science, information systems, engineering, business, data analytics, or a related field, or possess equivalent practical experience • Demonstrate fluency in data platforms, APIs, integration patterns, enterprise systems, and applied AI concepts, with the ability to evaluate trade-offs and communicate effectively with both technical and business audiences. • Practice Extreme Ownership and Relentless Execution by setting clear outcomes, making timely decisions, managing dependencies, and remaining accountable from customer problem through adoption and measured results. • Possess a Customer-Centric Focus and Insatiable Curiosity by engaging directly with users, testing assumptions, analyzing qualitative and quantitative evidence, and continuously learning about asset management workflows and market needs. • Communicate with clarity and Radical Candor, translating complexity into actionable direction while building trust across engineering, commercial, implementation, partner, and executive team members. You'll Thrive Even More If You Also • Bring experience with enterprise asset management, computerized maintenance management, facilities, infrastructure, or adjacent industrial software domains. • Demonstrate resourceful problem-solving by navigating ambiguous technical and commercial constraints, finding practical paths forward, and validating solutions before scaling investment. • Show grit and resilience while remaining composed under fire when priorities shift, dependencies fail, or customer-impacting issues require calm, evidence-based decisions. • Lead with empathy and infectious enthusiasm, creating shared purpose across diverse global teams while listening carefully, inviting challenge, and helping others do their best work. • Bring experience with platform ecosystems, public APIs, integration marketplaces, data governance, analytics, machine learning products, or responsible AI practices. 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. 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. 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 $68,830 - $117,994 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
Own the product vision, strategy, roadmap, and measurable outcomes for data, APIs, and integrations across our asset management portfolio.
Discover and prioritize customer problems by combining direct customer engagement, product analytics, market insight, and technical feasibility into clear product requirements and investment decisions.
Partner with engineering, architecture, design, cybersecurity, and data teams to deliver secure, scalable, observable, and well-documented integration and data capabilities.
Guide pragmatic AI product development from problem validation through launch, including data readiness, responsible AI considerations, human oversight, model performance, and ongoing value measurement.
Collaborate with sales, services, customer success, and technology partners to shape go-to-market plans, remove adoption barriers, and turn implementation findings into product improvements.
Establish product success metrics and use evidence to make trade-offs, communicate progress, manage dependencies, and drive reliable execution across globally distributed teams.
This is how you'll win us over
Hold a bachelor’s degree in computer science, information systems, engineering, business, data analytics, or a related field, or possess equivalent practical experience
Practice Extreme Ownership and Relentless Execution by setting clear outcomes, making timely decisions, managing dependencies, and remaining accountable from customer problem through adoption and measured results.
Communicate with clarity and Radical Candor, translating complexity into actionable direction while building trust across engineering, commercial, implementation, partner, and executive team members.
You'll Thrive Even More If You Also
Bring experience with enterprise asset management, computerized maintenance management, facilities, infrastructure, or adjacent industrial software domains.
Demonstrate resourceful problem-solving by navigating ambiguous technical and commercial constraints, finding practical paths forward, and validating solutions before scaling investment.
Show grit and resilience while remaining composed under fire when priorities shift, dependencies fail, or customer-impacting issues require calm, evidence-based decisions.
Lead with empathy and infectious enthusiasm, creating shared purpose across diverse global teams while listening carefully, inviting challenge, and helping others do their best work.
Bring experience with platform ecosystems, public APIs, integration marketplaces, data governance, analytics, machine learning products, or responsible AI practices.
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:
Siemens maintains a Drug Free workplace in accordance with applicable law.
You’ll Benefit From
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigomachine learning

Platform: avature
Effort: medium

Benefits

Benefits detected in the listing.

Vision

Wellness