A consulting firm in Bengaluru is seeking an experienced Product Manager to lead analytics initiatives, manage stakeholders, and drive product documentation. The ideal candidate should have a strong background in ITSM platforms, project management, and familiarity with AI technologies. Candidates with over 5 years of experience and relevant certifications will excel in this role. This permanent position offers a chance to work in a dynamic environment focused on innovation.
Qualifications
5+ years of experience as a Product Owner, Technical Product Manager, or similar role.
Familiarity with Incident response practices, problem resolution, and change governance.
Certifications like Certified Scrum Product Owner (CSPO), AI/ML, or ITIL.
Responsibilities
Define KPIs, build dashboards, run experiments, and make data-driven trade-offs.
Lead stakeholder engagement across Operations, SRE/Engineering, and Compliance.
Author policies, knowledge articles, and product documentation.
Skills
Strong analytics
Stakeholder management
Excellent writing and communication
Technical understanding of AI model lifecycle
Experience with MLOps and observability tools
Hands-on experience with ITSM platforms
Education
Bachelor's or master's in computer science, Engineering, Data Science, or a related field
Tools
ServiceNow
Prometheus
Grafana
OpenTelemetry
Job description
Recruiting for Product Manager
Employment Type: Permanent
Required
Strong analytics: defining KPIs, building dashboards, running experiments, and making data-driven trade-offs.
Hands‑on experience with ITSM platforms (e.g., ServiceNow) and virtual agents/chatbots.
Proven stakeholder leadership across Operations, SRE/Engineering, Security, and/or Compliance.
Excellent writing and communication skills; ability to author policies, knowledge articles and product documents.
Familiarity with Incident response practices, CAB, problem resolution, Event correlation, request management and change governance.
5+ years of experience as a Product Owner, Technical Product Manager, or similar role.
Technical understanding of AI model lifecycle, APIs, cloud‑native applications (AWS/GCP/Azure), and modern data stacks.
Strong communication, stakeholder management, and leadership skills.
Experience working with MLOps and observability tools (Prometheus, Grafana, OpenTelemetry, etc.).
Hands‑on experience with LLM frameworks like LangChain, RAG architecture, or conversational AI.