Principal AI Product Manager

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. 

What You’ll Do: 

We are seeking a Principal Product Manager focused on AI/ML to join our product management organization and drive the next generation of intelligent capabilities for Spend Intelligence on SAP Business Data Cloud. In this role, you’ll serve as an AI/ML specialist, owning data enrichment end-to-end while also charting the path forward toward agentic experiences that augment existing analytics capabilities and unlock entirely new value for procurement customers. 

You’ll bring deep, hands-on fluency in how modern AI systems work—from LLM architectures and training pipelines to applied techniques like RAG, fine-tuning, and agent orchestration. Critically, you’ll have experience taking AI from prototype to production at scale, solving the reliability, evaluation, and operational challenges that arise when AI must perform consistently across hundreds of enterprise customers rather than hand-tuned demos. 

You’ll partner closely with engineering, data science, platform, UX, and field services teams to translate customer problems into AI-powered product experiences, manage roadmap dependencies across SAP Business Data Cloud, and ensure that every capability delivers measurable business value. 

Key Responsibilities: 

• Own AI-powered data enrichment strategy and execution - define the product vision, prioritize the roadmap, and drive delivery of ML-based enrichment capabilities (e.g., spend classification, supplier normalization, anomaly detection) that operate reliably at enterprise scale within Spend Control Tower. 

• Design and deliver agentic capabilities - identify high-value opportunities where AI agents can augment existing analytics workflows or create entirely new product experiences; lead discovery, prototyping, and productization of these agents from zero to one to broad adoption. 

• Conduct deep discovery and market analysis - understand customer problems, competitive landscape, and emerging AI/ML trends to inform product strategy; translate business problems into well-scoped AI system designs that account for data availability, model reliability, and user trust. 

• Drive AI reliability and scale - define quality bars, evaluation frameworks, and feedback loops that ensure AI-powered features perform consistently across diverse customer environments, data volumes, and edge cases—not just curated examples. 

• Drive end-to-end execution and measurable outcomes - own delivery from discovery to adoption, working across both product (UX, engineering, platform) and go-to-market (product marketing, field services, sales, etc.) to ensure AI features and agents deliver clear, quantifiable business value to customers. 

• Shape technical direction and architectural choices - serve as the connective tissue between cutting-edge AI capabilities and business outcomes; guide engineering on system design decisions (e.g., when to apply RAG vs. fine-tuning, how to structure agent orchestration, how to balance cost vs. latency) while keeping the focus on customer value and operational viability at scale. 

What You Bring: 

Required Skills and Experience: 

• Bachelor's degree or equivalent in Computer Science, Engineering, or a related technical field. 

• 6+ years of experience in customer-facing product management 

• 3+ years of hands-on experience building AI applications and scaling AI from prototype to production for dozens or hundreds of customers, solving challenges around reliability, evaluation, latency, cost management, and graceful failure handling. 

• A deep technical fluency in AI and AI system architectures, including traditional ML, LLMs, embedding models, frameworks, training pipelines, and orchestration patterns, to solve business problems at scale. 

• Experience defining evaluation frameworks, quality metrics, and human-in-the-loop feedback loops for AI/ML systems operating in production. 

• Experience building applications and agents in a B2B context, preferably for enterprise customers. 

• Knowledge of the analytics and/or procurement space, especially data modeling (preferred) 

Soft Skills & Approach: 

• Strategic, systems-level thinker with a bias toward action and clarity. 

• Intellectually curious and committed to staying at the frontier of AI/ML developments, with the judgment to separate signal from hype. 

• Collaborative and comfortable working across distributed global teams. 

• Effective communicator. Able to influence and align with internal and external stakeholders. 

• A strong ownership bias and willingness to jump into areas with great levels of ambiguity and drive clarity and progress forward. 

• Comfortable operating in fast-moving environments with evolving priorities and complex technology stacks. 

Meet the Team: 

We are the SAP Ariba Analytics Product Management team, part of SAP’s broader Procurement family. Our mission is to help customers increase efficiency, avoid disruption, and reduce approval cycles in their procurement cycles. 

As product leaders within this domain, we bridge engineering, field services, UX, and platform teams to define and deliver visionary analytics capabilities grounded in real enterprise needs. We collaborate across functions and geographies to craft product strategy, prioritize roadmap features, manage dependencies, and drive adoption. If you're passionate about using AI to reinvent how work is done, and leveraging procurement data to enable decision-making and drive action – all while working in a vibrant, cross-functional environment – this is the team for you. 

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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.  

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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 annual combined range for this position is 198200-420000USD . 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:

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Requisition ID: 455184  | Work Area: Solution and Product Management  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid