← Back to results

Staff Product Manager

Lead the shift in database observability at MongoDB, focusing on AI-powered diagnostics and autonomous remediation.

Location
Dublin, Ireland
Compensation
Not disclosed
Level
staff
Type
full time · Remote OK

AI in the day-to-day

Help shape the next generation of AI-powered observability, including intelligent anomaly detection and automated root cause analysis.

Requirements

Experience
10+ years

Benefits

Parental Leave Employee Affinity Groups Fertility Assistance

Joblaze summary

The Staff Product Manager at MongoDB is responsible for shaping the future of database observability by transforming raw telemetry into actionable insights and AI-driven diagnostics. This role requires expertise in product management, particularly in data management and analytics, along with a strong technical background to collaborate effectively with engineering teams. Ideal candidates will have over a decade of experience in leading complex technical products and a proven ability to translate customer needs into strategic roadmaps. MongoDB's focus on innovation and AI integration makes this position pivotal in enhancing user experience and operational efficiency.

Joblaze insights

Quick facts

Is the Staff Product Manager role remote?
It's hybrid — MongoDB expects some on-site time in Dublin, Ireland.
How much experience is required?
At least 10 years of relevant experience for this Staff Product Manager role.
Where is the role based?
MongoDB is hiring for this position in Dublin, Ireland.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Data Infrastructure, Data Management, Observability, database.
What seniority level is this role?
MongoDB targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Product Manager role at MongoDB.

From the original posting

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 ability to make complex technical concepts clear and compelling
  • A bias toward action, disciplined prioritization, and the judgment to make decisions with incomplete information

Nice to have

  • Familiarity with observability tools and platforms such as CloudWatch, Datadog, Grafana, Splunk, OpenTelemetry
  • Experience building or scaling telemetry infrastructure, data pipelines, or platform products used by other engineering teams
  • Familiarity with MongoDB, Atlas, or comparable database products and the operational challenges customers face managing them at scale
  • Experience leading product strategy for AI-assisted workflows, anomaly detection, or intelligent diagnostics

How success will be measured

  • Customers move from reactive troubleshooting to proactive optimization, with Atlas surfacing insights and recommendations before issues escalate
  • AI-powered diagnostic experiences deliver meaningful reductions in time-to-resolution while remaining transparent and easy to act on
  • Adoption, engagement, and customer satisfaction improve across observability workflows including alerting, performance diagnostics, and proactive database optimization
  • The observability roadmap is clear, well-sequenced, and trusted by engineering, design, and go-to-market partners
  • Enterprise customers successfully adopt new observability capabilities while the platform remains accessible to developers who are not database or infrastructure experts

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 3273513808

Similar positions

MongoDB
Staff Technical Program Manager
MongoDB · Dublin, Ireland
MongoDB
Staff Engineer, Observability
MongoDB · Dublin, Ireland
MongoDB
Staff Engineer
MongoDB · Dublin, Ireland
MongoDB
Staff Technical Program Manager
MongoDB · Cork, Ireland; Dublin, Ireland