Staff Product Manager

Mongodb · Dublin, Ireland

En corto

▸Liderar la transformación de observabilidad en MongoDB hacia diagnósticos y correcciones autónomas con IA.
▸Definir estrategia y roadmaps para herramientas de salud, rendimiento y alertas de bases de datos a escala global.
▸Destacado: liderar un salto hacia observabilidad agente (agentic) con inteligencia artificial para reducir el trabajo operativo.

Excellent written and verbal communication skills

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓10+ años como PM en productos técnicos de datos o observabilidad
✓Experiencia comprobada con audiencias técnicas (devs, DBAs, ops)
✓Capacidad para definir estrategia a largo plazo y traducirla en roadmaps claros
✓Habilidad para influir sin autoridad formal sobre equipos de ingeniería
✓Experiencia en lanzamientos que requieren cambio de comportamiento o adopción
✓Comodidad con experiencias impulsadas por IA y automatización

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

MongoDBobservabilityAI-powered diagnosticsroot cause analysisanomaly detectionproactive recommendationsalertinglog analysisdata visualizationproduct analytics

¿A quién escribirle en Mongodb?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

The observability market is shifting from surfacing data to delivering answers. MongoDB is looking for a Staff Product Manager to lead that shift for database users, owning the strategy that takes customers from raw telemetry to AI-powered diagnostics and autonomous remediation, so developers can focus on building great applications instead of managing infrastructure. You will define how MongoDB turns raw telemetry into actionable intelligence, set the vision for AI-powered root cause analysis and proactive recommendations, and shape what best-in-class database observability looks like at global scale. The ideal candidate has experience shipping products that deal with data at scale, can engage deeply with senior engineering on technical architecture, and knows how to balance long-term platform investment against near-term customer value. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you'll do • Define the vision, strategy, and multi-year roadmap for MongoDB observability, balancing the needs of developers, ops teams, enterprise customers, and internal engineering teams • Help shape the next generation of AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations that help customers resolve issues before they escalate • Own product strategy for experiences that span database health, performance diagnostics, alerting, log analysis, and data visualization, creating a coherent observability journey rather than a collection of disconnected tools • Identify high-impact opportunities across the observability stack, from how customers monitor and understand their deployments to how MongoDB can reduce the operational burden of managing a database fleet at scale • Lead customer discovery with developers, DBAs, and enterprise teams; turn qualitative and quantitative insights into clear product decisions that reduce time spent managing the database and increase time spent building applications • Partner deeply with engineering and design to frame problems, define requirements, make tradeoffs, and deliver high-quality products from discovery through launch and iteration • Establish clear success metrics for observability, using product analytics, customer feedback, research, and market signals to evaluate progress and adjust priorities • Communicate product direction and decisions clearly to senior leaders and cross-functional stakeholders, including the rationale behind what we will and will not build • Raise the bar for product management by mentoring other PMs, improving product practices, and modeling strong judgment, customer empathy, and execution What you'll bring • 10+ years of product management experience; including experience leading complex technical products in the data management or analytics space • A track record of defining strategy and delivering products used by technical audiences, ideally across database, data infrastructure, or observability • Experience translating ambiguous customer and business problems into focused strategies, product narratives, roadmaps, and prioritized execution plans • Demonstrated ability to lead through influence across multiple engineering and product teams without relying on formal authority • Excellent customer instincts and the ability to move comfortably between user research, product details, business strategy, and executive communication • Experience launching products that require behavior change, ecosystem coordination, or adoption across both self-serve and enterprise customers • Comfort working with AI-enabled product experiences and evaluating where automation, guidance, and human control create the most value • Exceptional written and verbal communication skills, with the abi

No apliques sin prepararte

Investigamos quién te entrevista, adaptamos tu CV y te ensayamos en vivo — gratis la primera.