Principal Product Manager, AI Services – AI Infrastructure

Life at UiPath

The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.

To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.

Could that be you?

Your Mission

This role leads the development of UiPath’s machine learning infrastructure, focusing on ML Ops, evaluation frameworks, and the AI “trust layer.” You will spearhead initiatives to allow developers to bring their own models, telemetry, and ecosystem artifacts to UiPath. You will build and ship developer-facing platform features, and ensure our AI services are scalable, reliable, and easily integrated by both internal teams and external customers. The position demands a balance of strategic vision and hands-on execution, delivering the ML infrastructure that powers AI-driven automation at enterprise scale and upholds trust and performance standards.

What You'll Do At UiPath

• Own the end-to-end strategy and execution of ML infrastructure projects, including MLOps pipelines, model deployment processes, and governance tools for managing AI models.
• Develop and implement robust evaluation frameworks and success metrics for machine learning models to ensure high performance, reliability, and fairness.
• Lead cross-functional efforts for initiatives such as “Bring Your Own Model,” enabling customers and partners to integrate their ML models into the UiPath platform securely and efficiently.
• Build and refine the trust layer for AI services, incorporating features like model monitoring, version control, auditability, and compliance checks to meet enterprise standards.
• Collaborate with internal platform teams and external-facing developer teams to ensure seamless integration of AI infrastructure with UiPath’s automation products and developer workflows.
• Stay up-to-date with the latest AI/ML tools and frameworks across the stack (pytorch, huggingface, LangChain, LlamaIndex, CrewAI, etc.), guiding the adoption of technologies that improve scalability, performance, and developer experience.
• Define and track success metrics for deployed models and infrastructure (e.g. uptime, latency, accuracy, usage), using this data to drive continuous improvements.
• Act as a thought leader in ML Ops and infrastructure, mentoring engineering teams and evangelizing best practices for scalable AI-driven automation.
  
  

What You'll Bring To The Team

• 10 years of experience in product management with deep expertise in machine learning infrastructure, platforms, or related enterprise AI products.
• Strong background in MLOps and production-scale ML systems – hands-on experience with model deployment, pipeline automation, and lifecycle management of ML models.
• Proficient in modern ML tools and cloud frameworks (e.g. TensorFlow, PyTorch, Docker/Kubernetes, MLflow, Kubeflow), with the ability to make informed decisions on technology and architecture.
• Demonstrated experience shipping developer-focused products or platforms, especially those involving AI/ML capabilities for enterprise customers.
• Solid understanding of model evaluation techniques, A/B testing, monitoring, and building trust in AI systems (e.g. explainability, security, compliance for ML models).
• Proven track record of balancing complex infrastructure needs with clear business impact, ensuring that technical investments translate into customer value.
• Exceptional leadership and communication skills, capable of driving technical teams and influencing stakeholders across engineering, data science, and business units.
• Passion for AI-driven automation and a vision for how cutting-edge ML infrastructure can transform enterprise workflows through the UiPath platform.
  
  

Maybe you don’t tick all the boxes above— but still think you’d be great for the job? Go ahead, apply anyway. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.

Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.

We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.

Pay Transparency

The anticipated base salary range for this position is between $208,725 and $275,138. Base salary ranges may vary by geographic location and relevant experience, education, certifications, and seniority as compared to others doing substantially similar work. There is no guarantee an offer will be at the top of the posted range based on the salary analysis.