Senior Product Manager, Search Platform Careers at MongoDB - Toronto, Ontario | Apply Now!
MongoDB
Senior Product Manager, Search Platform Careers at MongoDB - Toronto, Ontario | Apply Now!
Job Description
Role Overview
Join MongoDB's Search Systems Engineering team as a Senior Product Manager, Search Platform and architect the future of search infrastructure powering next-generation AI applications. This role sits at the intersection of distributed systems innovation and enterprise customer impact, building the foundational platform capabilities that will define scalable search and AI at global scale.
Working alongside world-class engineers, you'll drive the technical vision for MongoDB Atlas Search, vector databases, and hybrid retrieval systems. This isn't just product management—it's strategic infrastructure leadership where you'll debate consensus protocols one moment and craft executive narratives connecting system reliability to business outcomes the next.
Based in Toronto, Calgary, or Vancouver with hybrid or remote North America options, this role offers immediate impact on MongoDB's most strategic platform investments.
Key Responsibilities at MongoDB
- Future-Proof Search Infrastructure: Drive 12-18 month technical vision for MongoDB Search, anticipating vector search, hybrid retrieval, and AI-native application patterns
- Customer Advocacy: Conduct deep technical discovery with customers building mission-critical AI applications to uncover scalability, consistency, and multi-tenancy needs
- Engineering Partnership: Collaborate with engineering leadership to translate complex distributed systems tradeoffs into prioritized business investments
- Observability Leadership: Partner with SRE and Solutions Architects to implement advanced instrumentation turning production signals into proactive improvements
- Architectural Influence: Guide platform evolution through technical credibility, earning trust of Staff Engineers without formal authority
- Reliability Champion: Deliver architectural audits identifying operational toil and observability gaps within first 90 days
- Strategic Storytelling: Connect low-level system metrics to executive narratives demonstrating infrastructure's business impact
- Production Excellence: Ship immediate reliability improvements demonstrating value to engineering teams
- Market Leadership: Position MongoDB Search as industry-leading platform for enterprise AI applications
Qualifications & Requirements
To succeed as Senior Product Manager, Search Platform at MongoDB, you need:
- 5+ years PM experience with distributed systems or infrastructure products
- Technical mastery: CAP theorem, consistency models, sharding, consensus algorithms with real-world debugging experience
- Proven ability to partner with senior engineers through technical depth rather than authority
- Customer obsession for platform customers building abstractions atop your abstractions
- Track record of data-driven operational excellence and executive narrative skills
- Experience with search technologies (Elasticsearch, Solr, Lucene) or vector databases preferred
Month 3 Success Measures:
- Complete full architectural audit of MongoDB Search stack
- Debate replication flows and consistency guarantees with Staff Engineers
- Deliver reliability report identifying top operational toil sources
- Ship one immediate reliability improvement
Salary & Benefits
MongoDB offers competitive compensation for Senior Product Managers ranging from $165,000 - $225,000 USD base salary plus equity, based on experience and location. Total compensation includes:
- Competitive Equity in MongoDB stock options
- Wellness Programs with mental health and fitness benefits
- MongoDB University unlimited training access
- Global Family Leave generous parental policies
- Comprehensive health, dental, vision insurance
- 401(k) matching and financial planning
- Flexible PTO and volunteer time off
- Learning & development stipend
Why Join MongoDB?
MongoDB is the Modern Developer Data Platform powering the world's most innovative applications. As Senior Product Manager, Search Platform, you'll:
- Work on next-generation search infrastructure for AI applications at global scale
- Partner with deeply technical engineering teams building distributed systems
- Drive strategic platform investments 18-24 months ahead of market
- Join a high-impact team at the forefront of database innovation
- Shape the future of vector search and hybrid retrieval systems
With offices in Toronto, Calgary, Vancouver and remote North America options, MongoDB offers the perfect blend of collaboration and flexibility.
How to Apply
Ready to architect the future of search infrastructure at MongoDB? Apply now for the Senior Product Manager, Search Platform role and join the team defining enterprise AI platforms. Submit your resume and let's discuss how you can drive MongoDB's search innovation forward.
Locations: Toronto, Calgary, Vancouver | Hybrid/Remote NA | Apply Today!
Locations
- Calgary, Alberta, Canada
- Toronto, Ontario, Canada
- Vancouver, British Columbia, Canada
- Remote, Canada (Remote)
Salary
173,250 - 247,500 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- MongoDB Atlas Searchintermediate
- Vector Searchintermediate
- Distributed Systemsintermediate
- NoSQL Databasesintermediate
- AI/ML Infrastructureintermediate
- Search Engines Elasticsearchintermediate
- Lucene Indexingintermediate
- CAP Theoremintermediate
- Consensus Algorithmsintermediate
- Sharding Strategiesintermediate
- Observability Engineeringintermediate
- Hybrid Search Systemsintermediate
- Production Reliabilityintermediate
- Technical Product Managementintermediate
- Customer Discoveryintermediate
Required Qualifications
- 5+ years of Product Management experience focused on infrastructure or distributed systems (experience)
- Mastery of CAP theorem, consistency models, and sharding strategies with real-world engineering empathy (experience)
- Proven ability to debate technical concepts like consensus protocols with senior engineers (experience)
- Track record of translating complex technical tradeoffs into business value and executive narratives (experience)
- Deep understanding of customer needs for mission-critical AI applications and platform scalability (experience)
- Experience building observability strategies and feedback loops for production systems (experience)
Responsibilities
- Drive long-term technical vision for MongoDB Search anticipating AI-native application needs 12-18 months ahead
- Act as customer voice for mission-critical AI applications uncovering scalability and consistency requirements
- Partner with engineering leadership to balance innovation velocity with production stability
- Collaborate with SRE teams to build advanced instrumentation and observability strategies
- Conduct technical discovery to identify latent customer needs in vector and hybrid search
- Translate production incident learnings into proactive system improvements
- Guide architectural decisions through technical influence without formal authority
- Deliver architectural audits and reliability reports within first 90 days
- Champion operational excellence through data-driven storytelling and metrics analysis
Benefits
- general: Competitive Equity in MongoDB stock options
- general: Comprehensive Wellness Programs including mental health support
- general: MongoDB University with unlimited access to certification training
- general: Global Family Leave policy with generous parental benefits
- general: Flexible Hybrid Work Model (New York, San Francisco preferred)
- general: North America Remote Optional for qualified candidates
- general: 401(k) matching and comprehensive health insurance
- general: Annual Learning & Development stipend
- general: Volunteer Time Off and community impact programs
- general: Modern developer data platform cutting-edge projects
Tags & Categories
Answer 10 quick questions to check your fit for Senior Product Manager, Search Platform Careers at MongoDB - Toronto, Ontario | Apply Now! @ MongoDB.
Related Books and Jobs
Senior Product Manager, Search Platform Careers at MongoDB - Toronto, Ontario | Apply Now!
MongoDB
Senior Product Manager, Search Platform Careers at MongoDB - Toronto, Ontario | Apply Now!
Job Description
Role Overview
Join MongoDB's Search Systems Engineering team as a Senior Product Manager, Search Platform and architect the future of search infrastructure powering next-generation AI applications. This role sits at the intersection of distributed systems innovation and enterprise customer impact, building the foundational platform capabilities that will define scalable search and AI at global scale.
Working alongside world-class engineers, you'll drive the technical vision for MongoDB Atlas Search, vector databases, and hybrid retrieval systems. This isn't just product management—it's strategic infrastructure leadership where you'll debate consensus protocols one moment and craft executive narratives connecting system reliability to business outcomes the next.
Based in Toronto, Calgary, or Vancouver with hybrid or remote North America options, this role offers immediate impact on MongoDB's most strategic platform investments.
Key Responsibilities at MongoDB
- Future-Proof Search Infrastructure: Drive 12-18 month technical vision for MongoDB Search, anticipating vector search, hybrid retrieval, and AI-native application patterns
- Customer Advocacy: Conduct deep technical discovery with customers building mission-critical AI applications to uncover scalability, consistency, and multi-tenancy needs
- Engineering Partnership: Collaborate with engineering leadership to translate complex distributed systems tradeoffs into prioritized business investments
- Observability Leadership: Partner with SRE and Solutions Architects to implement advanced instrumentation turning production signals into proactive improvements
- Architectural Influence: Guide platform evolution through technical credibility, earning trust of Staff Engineers without formal authority
- Reliability Champion: Deliver architectural audits identifying operational toil and observability gaps within first 90 days
- Strategic Storytelling: Connect low-level system metrics to executive narratives demonstrating infrastructure's business impact
- Production Excellence: Ship immediate reliability improvements demonstrating value to engineering teams
- Market Leadership: Position MongoDB Search as industry-leading platform for enterprise AI applications
Qualifications & Requirements
To succeed as Senior Product Manager, Search Platform at MongoDB, you need:
- 5+ years PM experience with distributed systems or infrastructure products
- Technical mastery: CAP theorem, consistency models, sharding, consensus algorithms with real-world debugging experience
- Proven ability to partner with senior engineers through technical depth rather than authority
- Customer obsession for platform customers building abstractions atop your abstractions
- Track record of data-driven operational excellence and executive narrative skills
- Experience with search technologies (Elasticsearch, Solr, Lucene) or vector databases preferred
Month 3 Success Measures:
- Complete full architectural audit of MongoDB Search stack
- Debate replication flows and consistency guarantees with Staff Engineers
- Deliver reliability report identifying top operational toil sources
- Ship one immediate reliability improvement
Salary & Benefits
MongoDB offers competitive compensation for Senior Product Managers ranging from $165,000 - $225,000 USD base salary plus equity, based on experience and location. Total compensation includes:
- Competitive Equity in MongoDB stock options
- Wellness Programs with mental health and fitness benefits
- MongoDB University unlimited training access
- Global Family Leave generous parental policies
- Comprehensive health, dental, vision insurance
- 401(k) matching and financial planning
- Flexible PTO and volunteer time off
- Learning & development stipend
Why Join MongoDB?
MongoDB is the Modern Developer Data Platform powering the world's most innovative applications. As Senior Product Manager, Search Platform, you'll:
- Work on next-generation search infrastructure for AI applications at global scale
- Partner with deeply technical engineering teams building distributed systems
- Drive strategic platform investments 18-24 months ahead of market
- Join a high-impact team at the forefront of database innovation
- Shape the future of vector search and hybrid retrieval systems
With offices in Toronto, Calgary, Vancouver and remote North America options, MongoDB offers the perfect blend of collaboration and flexibility.
How to Apply
Ready to architect the future of search infrastructure at MongoDB? Apply now for the Senior Product Manager, Search Platform role and join the team defining enterprise AI platforms. Submit your resume and let's discuss how you can drive MongoDB's search innovation forward.
Locations: Toronto, Calgary, Vancouver | Hybrid/Remote NA | Apply Today!
Locations
- Calgary, Alberta, Canada
- Toronto, Ontario, Canada
- Vancouver, British Columbia, Canada
- Remote, Canada (Remote)
Salary
173,250 - 247,500 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- MongoDB Atlas Searchintermediate
- Vector Searchintermediate
- Distributed Systemsintermediate
- NoSQL Databasesintermediate
- AI/ML Infrastructureintermediate
- Search Engines Elasticsearchintermediate
- Lucene Indexingintermediate
- CAP Theoremintermediate
- Consensus Algorithmsintermediate
- Sharding Strategiesintermediate
- Observability Engineeringintermediate
- Hybrid Search Systemsintermediate
- Production Reliabilityintermediate
- Technical Product Managementintermediate
- Customer Discoveryintermediate
Required Qualifications
- 5+ years of Product Management experience focused on infrastructure or distributed systems (experience)
- Mastery of CAP theorem, consistency models, and sharding strategies with real-world engineering empathy (experience)
- Proven ability to debate technical concepts like consensus protocols with senior engineers (experience)
- Track record of translating complex technical tradeoffs into business value and executive narratives (experience)
- Deep understanding of customer needs for mission-critical AI applications and platform scalability (experience)
- Experience building observability strategies and feedback loops for production systems (experience)
Responsibilities
- Drive long-term technical vision for MongoDB Search anticipating AI-native application needs 12-18 months ahead
- Act as customer voice for mission-critical AI applications uncovering scalability and consistency requirements
- Partner with engineering leadership to balance innovation velocity with production stability
- Collaborate with SRE teams to build advanced instrumentation and observability strategies
- Conduct technical discovery to identify latent customer needs in vector and hybrid search
- Translate production incident learnings into proactive system improvements
- Guide architectural decisions through technical influence without formal authority
- Deliver architectural audits and reliability reports within first 90 days
- Champion operational excellence through data-driven storytelling and metrics analysis
Benefits
- general: Competitive Equity in MongoDB stock options
- general: Comprehensive Wellness Programs including mental health support
- general: MongoDB University with unlimited access to certification training
- general: Global Family Leave policy with generous parental benefits
- general: Flexible Hybrid Work Model (New York, San Francisco preferred)
- general: North America Remote Optional for qualified candidates
- general: 401(k) matching and comprehensive health insurance
- general: Annual Learning & Development stipend
- general: Volunteer Time Off and community impact programs
- general: Modern developer data platform cutting-edge projects
Tags & Categories
Answer 10 quick questions to check your fit for Senior Product Manager, Search Platform Careers at MongoDB - Toronto, Ontario | Apply Now! @ MongoDB.
Related Books and Jobs