Product Education & Adoption Lead

Siemens•Published 1 days ago•First seen 10 hours ago

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:

The Product Education & Adoption Lead owns how clients move from trained users to confident, advanced product advocates. The role leads Product Education programming, including the Broadcasts live webinar program, in-app adoption guidance, client certification, and post-training adoption initiatives. It leads through standards, frameworks, and influence rather than direct management, and it sets the direction and pace for AI across the Product Enablement team.

The role reports to the Product Enablement Manager and works closely with Instructional Design, eLearning, Technical Writing, and Product Owners/Managers. It partners with Customer Success, Product, and Marketing to embed adoption into the client experience. This is a lead-level individual contributor role with no direct reports.

This role sits within Product Education and requires a strong understanding of Product Enablement content and how to apply it to support client adoption. The role will collaborate closely with Technical Writing but is not responsible for authoring technical documentation. Over time, the role may expand beyond Product Education into broader Product Enablement responsibilities.

You’ll make an impact by

  • Developing others and influencing others without direct authority: coaching SMEs and colleagues to become confident presenters and program contributors, while influencing partner teams through data, evidence, and clear tradeoffs.
  • Owning the roadmap for post-training adoption programming, using structured intake, program audits, and a validated backlog prioritized by business outcomes rather than request volume
  • Writing clear problem statements for each initiative, covering the adoption gap, what it costs clients, and what success looks like
  • Defining and publishing the standards that make Product Enablement programs repeatable, and teaching them through playbooks, working sessions, and office hours
  • Setting the direction and pace for AI across the Product Enablement team: defining AI standards and guardrails, piloting approaches, building team capability, evaluating tools, and tracking maturity
  • Owning the monthly Broadcasts content strategy and coaching SMEs to lead their own sessions with confidence
  • Deploying and governing in-app guidance in Pendo based on usage data, with defined quality criteria and an approval step before launch
  • Running the full certification lifecycle, from tier architecture and credentialing standards to exam prep, with SME validation of any AI-assisted exam content
  • Redesigning adoption operations and choosing the right fix for each process: simplification, deterministic automation, analytics, or AI-assisted work
  • Owning the KPI framework and experimentation program, and reporting results and recommendations to the Product Enablement Manager and key stakeholders
  • Serving as the adoption subject matter expert in cross-functional initiatives, so client usage shapes broader program decisions

This is how you’ll win us over

  • A minimum of 5 years of experience in client success, customer engagement, customer education, program management, or a related field
  • Proven track record of leading AI adoption across a team, function, or organization, including setting standards that others follow. Proven track record of leading AI adoption across a team, function, or organization, including setting standards that others follow, such as developing AI guidelines or playbooks, piloting AI-enabled workflows, training colleagues on AI practices, or measuring adoption and results
  • Experience designing and running client, customer, or learner programs at scale, ideally in B2B software enablement
  • Demonstrated ability to influence outcomes across teams without direct authority, and to create standards, templates, or frameworks that others adopt
  • Working fluency in generative AI, prompt design, evaluation, and quality criteria, enough to set team standards and judge output (not engineering depth)
  • Ability to decide when a problem calls for AI, deterministic automation, or a simpler process change, and to explain that decision
  • Comfort using data to define metrics, set baselines, and interpret results
  • Understanding of responsible AI in an enterprise setting: learner data privacy, IP attribution, bias in personalization and certification, and human sign-off on certification decisions
  • Strong written and verbal communication, with the ability to present to executives and teach practitioners
  • Bachelor's degree in a relevant field or equivalent experience

You’ll Thrive Even More If You Also Bring

  • Experience building AI enablement programs, communities of practice, or internal AI playbooks
  • Hands-on use of AI and low-code tools to build working prototypes (for example, Claude, Copilot Studio, Power Automate, or n8n)
  • Experience with in-app guidance platforms (Pendo), LMS platforms (Skilljar), CRM (Salesforce), or webinar tools
  • Experience managing certification or credentialing programs
  • Experience in technology or SaaS, and familiarity with Instructional Design practices or learning standards
  • Familiarity with grounded AI concepts (source chunking, metadata, citations) and basic agentic workflow design

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, and we run on continuous improvement: we test ideas, keep what works, retire what doesn't, and share what we learn, including failures. This role is a place for people who want to grow into bigger roles, with a path to broader scope as impact is demonstrated. If you're excited about shaping how people learn and adopt AI-enabled products, we encourage you to apply. 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.

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
The pay range for this position is $77,219 - $132,376 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.

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Criminal History
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.