Staff Product Manager
Leads product strategy and execution for MongoDB’s observability portfolio, including AI-powered diagnostics, anomaly detection, and proactive recommendations. Requires 10+ years of product management experience with complex technical products in data management, analytics, databases, infrastructure, or observability.
About the job
Responsibilities
- Define the vision, strategy, and multi-year roadmap for MongoDB observability across developers, operations teams, enterprise customers, and internal engineering teams.
- Shape AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations.
- Own product strategy for database health, performance diagnostics, alerting, log analysis, and data visualization.
- Identify opportunities to reduce the operational burden of managing database fleets at scale.
- Lead customer discovery with developers, DBAs, and enterprise teams, using qualitative and quantitative insights to guide product decisions.
- Partner with engineering and design from discovery through launch and iteration.
- Establish observability success metrics using product analytics, customer feedback, research, and market signals.
- Communicate product direction and decisions to senior leaders and cross-functional stakeholders.
- Mentor other product managers and improve product management practices.
Requirements
- 10+ years of product management experience, including leading complex technical products in data management or analytics.
- Experience defining strategy and delivering products for technical audiences, ideally in databases, data infrastructure, or observability.
- Ability to translate ambiguous customer and business problems into focused strategies, product narratives, roadmaps, and prioritized execution plans.
- Experience leading through influence across multiple engineering and product teams.
- Strong customer instincts and the ability to move between user research, product details, business strategy, and executive communication.
- Experience launching products requiring behavior change, ecosystem coordination, or adoption across self-serve and enterprise customers.
- Comfort working with AI-enabled product experiences and evaluating automation, guidance, and human control.
- Exceptional written and verbal communication skills.
- Bias toward action, disciplined prioritization, and sound judgment with incomplete information.
Nice to Have
- Familiarity with observability tools and platforms such as CloudWatch, Datadog, Grafana, Splunk, and OpenTelemetry.
- Experience building or scaling telemetry infrastructure, data pipelines, or platform products used by engineering teams.
- Familiarity with MongoDB, Atlas, or comparable database products and the operational challenges of managing them at scale.
- Experience leading product strategy for AI-assisted workflows, anomaly detection, or intelligent diagnostics.
Compensation and Benefits
- Supportive and enriching culture.
- Employee affinity groups.
- Fertility assistance.
- Generous parental leave policy.
Skills
Product Strategy, Product Roadmapping, Observability, Artificial Intelligence, Anomaly Detection, Root Cause Analysis, Telemetry, Data Pipelines, Database Management, Data Analytics, CloudWatch, Datadog, Grafana, Splunk, OpenTelemetry
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