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MongoDB

Senior Staff Product Manager, Query

MongoDB is hiring a Senior Staff Product Manager, Query for a remote role open to applicants in Canada. It pays CAD 173k-CAD 240k a year and Level rates it ; you can apply on MongoDB.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include product management, distributed systems and database architecture.
  • Level classifies it as a senior role.
  • Level lists 382 other open roles at MongoDB.

AI in this role

Lead the multi-year strategy and product architecture for MongoDB's distributed query engine and flexible query system.

product-managementdistributed-systemsdatabase-architecturequery-enginesstrategy

The MongoDB Query Team is seeking a Senior Staff Product Manager to provide division-wide, product leadership for our fast, modular distributed query engine and flexible query system. As the most senior product management contributor, you will shape the multi-year strategy, product architecture, and market trajectory for the entire Query business unit.

You will be the primary product authority on the most complex trade-offs, anticipating systemic risks and cutting through structural friction that blocks multiple teams and initiatives. This role requires collaboration with distinguished engineers to rigorously debate strategy and pressure-test assumptions and advise executive leadership on options that balance long-term monetization, strategy, and business outcomes. And, where relevant, owns the pricing and monetization strategy for the product line.

This role can be in-office, flexible (hybrid), or remote anywhere in Canada.

Responsibilities

  • Product Vision and Roadmap: Spearhead strategic unity across multiple product areas over a multi-year horizon to drive a coherent product experience
  • Business Leadership: Originate and de-risk the division’s most consequential strategic bets, owning rigorous business cases and advising leadership on multi-year economic outcomes
  • Customer Advocacy: Engage with strategically significant customers at the senior level  (e.g., advisory boards and executive  briefings) to surface cross-portfolio opportunities and inform the roadmap
  • PM Excellence: Elevate the global standard of product management by mentoring Staff and Senior PMs and pioneering new data-driven playbooks across the organization. Create frameworks and standards for customer and market research that others use for conducting high-quality customer and market research
  • Cross-Functional Alignment and Execution: Partner with Directors and VPs to shape investment allocation and sequencing across the query, developer experiences, and core database portfolio
  • Market and Engagement: Act as a primary external face for the product line, representing MongoDB to the industry, developers, standards bodies and at major conferences

Requirements

  • Experience: 10+ years of professional experience, including significant leadership in product management for platform, infrastructure, or database domains
  • Communication: Exceptional ability to communicate complex technical issues simply and convincingly to a wide range of audiences, including executive leadership
  • Strategic Execution: Proven success in delivering complex cross-functional projects and the ability to write, defend, and execute on multi-year business cases
  • Education: B.Sc. in a technical discipline, with Computer Science preferred, or equivalent relevant experience
  • Domain Expertise: Deep technical fluency in database query engines, query languages (SQL, MQL, etc.), developer experiences, distributed systems, and potentially AI platform tooling or LLM orchestration

Nice to Have

  • MBA, M.Sc., or Ph.D. in relevant technical or business domains
  • Experience with MongoDB or other non-relational database technologies
  • Demonstrated success leading products targeting developer personas in fast-paced, growing environments
  • Familiarity with open-source and cloud-native technologies

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: 2273467505

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.

MongoDB’s base salary range for this role in Canada is:$173,000—$240,000 CAD

How we rate this

Senior Staff Product Manager, Query at MongoDB rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementDistributed SystemsDatabase ArchitectureQuery EnginesStrategy

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where database architecture was part of your work. What did you do?
  4. Tell me about a project where query engines was part of your work. What did you do?
  5. Tell me about a project where strategy was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Product Management, Distributed Systems, Database Architecture, Query Engines, and Strategy. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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