Staff Product Manager - AIOps Platform

Job Title : Staff Product Manager Location : Bangalore Employment Type : Full-Time Responsibilities : - Define and articulate a clear and compelling product vision and strategy for our AIOps Platform, aligned with overall business outcomes and market opportunities. - Conduct market research, competitive analysis, and customer discovery to identify unmet needs and emerging trends in the AIOps space. - Translate market insights and business goals into a prioritized product roadmap. - Build comprehensive business cases to justify new product initiatives and features, including market sizing, revenue projections, and cost analysis. - Define clear and measurable Objectives and Key Results (OKRs) for the AIOps Platform and track product success metrics throughout the product lifecycle. - Analyze product performance data and iterate on the product strategy based on key metrics and user feedback. - Effectively communicate the product vision, strategy, and roadmap to internal and external stakeholders, including engineering, design, sales, marketing, and executive leadership. - Build strong working relationships and foster a collaborative mindset across cross-functional teams to ensure alignment and shared ownership. - Act as the voice of the customer within the organization. - Understand the complex operational challenges faced by enterprise clients in managing their IT infrastructure and applications. - Engage directly with enterprise clients to gather requirements, understand pain points, and validate product solutions. - Translate enterprise client needs into actionable product features and enhancements. - Possess a deep understanding of the Data Lifecycle Management process, from data ingestion and processing to storage, analysis, and archival within an AIOps context. - Define data requirements and strategies for various AIOps functionalities, ensuring data quality and availability. - Leverage your experience in building products from the ground up using open-source technologies such as the ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, Grafana, OpenTelemetry, and Kafka. - Understand the capabilities and limitations of these technologies and how they can be effectively utilized within an AIOps platform. - Maintain a strong understanding of applied data and AI regulations (e.g. , GDPR, NIST frameworks) and ensure the AIOps Platform is designed and developed in compliance with these regulations. - Consider privacy, security, and ethical implications in product design and development. - Apply hands-on knowledge of data aggregation, correlation, and suppression techniques to reduce noise and surface meaningful insights from large volumes of operational data. - Define strategies for intelligent event reduction and contextualization. - Drive the product strategy for Analytics Process Automation, runbook automation, and agentic AI automation within the AIOps Platform. - Understand the workflows and opportunities for automation in IT operations. - Possess a strong understanding of the event and alarm lifecycle within IT operations, from generation to resolution. - Define how the AIOps Platform will effectively manage, enrich, and act upon events and alarms. - Proficiently conduct user segmentation, define target personas for the AIOps Platform, and create detailed user journey maps to understand user needs and workflows. - Utilize user insights to inform product design and prioritization. - Demonstrate proven experience in end-to-end Product Lifecycle Management (PLM) - from ideation and concept validation to product development, launch, growth, and eventual retirement. - Understand Data as a Service (DaaS) models and how the AIOps Platform can leverage and potentially offer data-driven services. Observability and Event-Driven Architecture : - Possess a strong understanding of observability tools, log/metric tracing, and event-driven architecture and how they contribute to a comprehensive AIOps solution. - Have exposure to AI/ML pipelines, model governance frameworks, and MLOps practices relevant to building intelligent AIOps capabilities. - Comfortable working with and understanding the integration of AIOps platforms with ITSM/CMDB tools like ServiceNow, BMC Remedy, or iServe. - Comfortable working within cloud-native, microservices-based architectures and understanding DevOps principles and practices. Must-Have Skills : - Ability to define product vision & strategy aligned with business outcomes. - Experience building business cases, setting OKRs, and tracking product success metrics. - Strong stakeholder management skills and a collaborative mindset. - Comfortable working with enterprise clients and solving real-world operational challenges. - Deep understanding of Data Lifecycle Management - from ingestion to archival. - Experience in building products from scratch using open-source tech (ELK Stack, Prometheus, Grafana, OpenTelemetry, Kafka, etc. - Knowledge of applied data and AI regulations (GDPR, NIST, etc. - Hands-on with data aggregation, correlation & suppression techniques. - Exposure to Analytics Process Automation, runbook automation, and agentic AI automation. - Strong knowledge of event and alarm lifecycle. - Proficient in user segmentation, persona definition, and journey mapping. - Proven experience in Product Lifecycle Management - ideation to scale. - Familiarity with Data as a Service (DaaS) models. - Understanding of observability tools, log/metric tracing, and event-driven architecture. - Exposure to AI/ML pipelines, model governance, and MLOps. - Experience with ITSM/CMDB tools like ServiceNow, BMC Remedy, or iServe. - Comfortable working with cloud-native, microservices, and DevOps ecosystems. Preferred Skills : - Experience with specific AIOps platforms or tools. - Understanding of machine learning algorithms relevant to AIOps. - Experience with UX research methodologies. - Familiarity with agile development methodologies (Scrum, Kanban). - Excellent presentation and communication skill (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/8/2025