Senior Product Manager - Learning

Job Description

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

NOTE: this position will be based from our Reston, VA office following our hybrid working model of in-office 3 days a week. Relocation assistance is not available for this role.

Purpose & Objectives

The SuccessFactors Learning product is a global leader in HCM LMS solutions focused on making learning AI-driven, skills-focused, contextual, personalized and available at the moment of need. We are shifting from content-first delivery to a learner-first experience powered by modern UX, skills integration, and AI — so learning is smart, adaptive, and tightly connected to career outcomes.

This full‑time role will lead the planning, prioritization, delivery and adoption of AI-enhanced, user-centered learning experiences across the SuccessFactors LMS. You will partner across product, design, engineering, services and customers to define roadmaps, validate concepts with users, integrate AI capabilities safely and responsibly, and drive successful rollout and adoption.

Responsibilities

• Product strategy & road-mapping
• Define and drive the product roadmap for user experience and AI-enabled features (learner and manager experiences, personalized recommendations, adaptive learning paths, search & retrieval, generative assistance).
• Prioritize features based on user research, business value, technical feasibility and measurable outcomes.
• Lead qualitative and quantitative user research to discover needs, validate concepts, and continually improve UX.
• Partner closely with designers to create prototypes, run usability testing, and shepherd solutions from concept to production.
• Advocate for accessibility, simplicity, and delight across learner and administrator experiences.
• Agentic AI & data product implementation
• Work with agentic AI and data teams to translate learning outcomes into AI Assistants with ML/Generative AI product requirements (recommendation engines, LLM-based assistants, adaptive sequencing).
• Specify APIs, data needs, performance targets and evaluation metrics for AI features; drive model validation, explainability, and customer engagement feedback.
• Ensure responsible use of AI: privacy, data governance, bias mitigation and clear user affordances.
• Measurement, analytics & experimentation
• Define KPIs (engagement, skill growth, completion, business impact) and implement instrumentation to measure feature impact.
• Design and run customer engagement design advisor sessions, analyze results, and iterate quickly based on data-driven insights.
• Collaborate with engineering to enable reliable, scalable deployments for enterprise customers.
• Customer engagement & adoption
• Work with services, customer success and enablement to plan rollouts, produce adoption and transition guide strategies, and gather customer feedback and change requests.
• Evangelize new capabilities internally and externally; help customers realize business value from AI-driven learning.
• Cross-functional leadership
• Coordinate across product managers, designers, engineers, user assistance, legal/privacy and security teams.
• Communicate roadmap, tradeoffs and outcomes to stakeholders and executive leadership.

What success looks like

• Measurable improvements in learner engagement, skill attainment and business outcomes.
• Robust, responsible AI agents that scale across enterprise customers and demonstrably improve the learning experience.
• Strong adoption and positive customer feedback driven by clear value and excellent UX.
• Gain ownership across an end-to-end product lifecycle and exposure to large-scale ML and analytics systems.
• Opportunity to influence product and adoption strategy at scale within a market-leading LMS.

Location

This is a full-time position based in the Reston, VA area offices.

Required Qualifications

• 4+ years product management experience in SaaS or enterprise software; experience with learning products or LMS platforms is strongly preferred.
• BS/BA in Computer Science or Software Engineering or Education/Instructional DesignMBA/M.Ed. preferred
• Demonstrated experience designing or shipping user-centered experiences and working closely with UX/design teams.
• Practical experience integrating Agentic/Conversational/Generative AI experiences into products (autonomous agents, recommendation systems, search, LLMs, or other ML features) and working with data/ML teams to operationalize models.
• Strong analytical skills; comfortable defining metrics, running experiments, and using data to drive decisions (SQL or analytics tool experience preferred).
• Experience translating customer needs into clear product requirements, user stories and acceptance criteria.
• Familiarity with industry standards (SCORM, xAPI/cmi5), enterprise integrations and security/privacy considerations.
• Experience delivering outcome driven insights for a full enterprise scope of users

Technical & Personal Skills

• Hands-on with product discovery tools and design/prototyping tools (AHA, Figma, Jira, etc.).
• Knowledge of API-driven architectures and experience specifying integration requirements.
• Understanding of Agentic/Conversational AI concepts, model evaluation and responsible AI practices.
• Excellent communication and stakeholder management skills; ability to influence across teams.
• Strong problem-solving, organization and time management skills; self-directed and collaborative.

Nice-to-have

• Experience with learning science, curriculum design or instructional design.
• Background working with HRIS/HCM systems or enterprise customers at scale.
• Familiarity with A/B testing platforms and analytics stacks.

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 131000 - 245600(USD) USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 446734 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid