Staff Inbound Product Manager - AI Specialist Evals and Quality Standards
ServiceNow (company site, opens in a new tab)9+ yrsBengaluruHybridDirect career pageEst. 45–70 LPA
Posted 3h ago
Reach people at ServiceNow
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at ServiceNow you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own and scale the hill climbing product roadmap for AI Specialists, expanding testing across real customer environments.
- Manage the customer instance program to provide real-world testing grounds for AI Specialists across business units and product teams.
- Reduce turnaround time from shipped changes to actionable quality feedback from weeks to days and ensure prioritized fixes are implemented with product teams.
Minimum Requirements
- 9+ years of work experience including product management on AI or ML products in production.
- Proven experience owning and scaling a product roadmap across multiple teams.
- Experience running fast improvement loops on ML or LLM systems involving experiments, error analysis, and shipping prioritized fixes.
- Experience leveraging AI in workflows or decision-making processes; experience with agentic AI, enterprise workflow software, or the ServiceNow platform.
Ideal Candidate Profile
- Strategic operator skilled in aligning product, engineering, and business teams to execute a unified plan for AI product improvements.
- Experienced in transforming expert-supported processes into scalable tools or methods usable independently by multiple teams.
- Deep domain expertise in AI/ML product management, particularly in improving AI system quality and integrating AI into enterprise workflows.