Product Manager

Key Responsibilities

• Own the observability product roadmap

  with a focus on enabling visibility for data pipelines, distributed compute frameworks (e.g., Spark, Flink), and cloud-native workloads.
• Define and deliver features for

  metrics ingestion

  ,

  distributed tracing

  ,

  log processing pipelines

  ,

  alerting

  ,

  dashboards

  , and

  SLO/SLA tooling

  .
• Drive integration with cloud platforms (AWS, GCP, Azure), container orchestration systems (Kubernetes), and data infrastructure components (Kafka, Airflow, Snowflake, etc.).
• Define APIs, data models, and storage strategies for telemetry data at scale.
• Collaborate with platform, SRE, and data engineering teams to understand pain points, gather requirements, and validate solutions.
• Contribute to the definition and tracking of

  service health indicators

  (SLIs/SLOs),

  incident response tooling

  , and

  automated root cause analysis

  .
• Stay current on emerging trends in observability (e.g., eBPF, AI/ML for anomaly detection, continuous profiling), cloud infrastructure, and big data ecosystems.
• Work with engineering to build scalable systems for telemetry collection, processing, retention, and visualization.
• Develop product specifications with clear technical detail for engineering execution.

Preferred Experience & Skills

• 8+ years in technical product management, ideally with products related to

  observability

  ,

  infrastructure

  , or

  data platforms

  .
• Hands-on experience with observability tools like

  OpenTelemetry

  ,

  Prometheus

  ,

  Grafana

  ,

  Jaeger

  ,

  ELK stack

  ,

  Datadog

  ,

  New Relic

  , or similar.
• Strong understanding of cloud-native architecture patterns, microservices, containers, and orchestration (especially

  Kubernetes

  ).
• Experience with

  distributed systems

  and

  data platforms

  — e.g.,

  Apache Kafka

  ,

  Apache Spark

  ,

  Flink

  ,

  Airflow

  ,

  Presto

  ,

  Snowflake

  , etc.
• Familiarity with infrastructure-as-code (e.g., Terraform, Helm) and CI/CD systems.
• Working knowledge of telemetry data storage and processing at scale (TSDBs, log indexing, event pipelines).
• Ability to read and communicate technical designs with engineers and stakeholders (e.g., API specs, sequence diagrams, data flows).
• Experience working with SREs, platform teams, or DevOps roles in production environments.
• Strong analytical skills; ability to define and monitor KPIs for performance, reliability, and user adoption.

Nice to Have

• Background in data engineering or site reliability engineering (SRE).
• Experience with cost optimization and resource utilization tracking in cloud environments.
• Exposure to AI/ML-based anomaly detection and predictive analytics in observability.
• Experience contributing to or working with open-source observability communities.

Roles & Responsibilities

Key Responsibilities

• Own the observability product roadmap

  with a focus on enabling visibility for data pipelines, distributed compute frameworks (e.g., Spark, Flink), and cloud-native workloads.
• Define and deliver features for

  metrics ingestion

  ,

  distributed tracing

  ,

  log processing pipelines

  ,

  alerting

  ,

  dashboards

  , and

  SLO/SLA tooling

  .
• Drive integration with cloud platforms (AWS, GCP, Azure), container orchestration systems (Kubernetes), and data infrastructure components (Kafka, Airflow, Snowflake, etc.).
• Define APIs, data models, and storage strategies for telemetry data at scale.
• Collaborate with platform, SRE, and data engineering teams to understand pain points, gather requirements, and validate solutions.
• Contribute to the definition and tracking of

  service health indicators

  (SLIs/SLOs),

  incident response tooling

  , and

  automated root cause analysis

  .
• Stay current on emerging trends in observability (e.g., eBPF, AI/ML for anomaly detection, continuous profiling), cloud infrastructure, and big data ecosystems.
• Work with engineering to build scalable systems for telemetry collection, processing, retention, and visualization.
• Develop product specifications with clear technical detail for engineering execution.

NOTE- We are hiring for Indore and Bangalore.