DoorDash Canada
Engineering Manager, Notification Platform
Toronto, ON · Full-time
Sponsorship not specified$185k-$232kDetected 2 days ago
Distributed SystemsMachine LearningLLMsA/B TestingProduct StrategyLogisticsCommunicationCollaboration
About the role
- This is a highly cross-functional, systems-driven role at the intersection of marketplace communications, personalization, machine learning, and platform governance.
- Your mission will be to scale a reliable, intelligent notification ecosystem-delivering across push, email, SMS, and the Notification Hub, powered by the Pedregal platform and enriched with ML-driven ranking and Generative AI content.
- You're excited about this opportunity because you will…
Responsibilities
- Build and lead a high-performing engineering team focused on notification delivery, personalization, and platform governance
- Drive the go-forward Pedregal platform, including centralized capabilities such as deduplication and holistic ranking that coordinate across domains
- Deliver real-time, data-driven systems that balance transactional reliability, growth, and unit economics (e.g. SMS cost efficiency) across markets
- Scale the platform internationally with shared, configurable infrastructure to support entities such as Wolt and Deliveroo
- At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers.
- DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers.
Nice to have
- AI/ML experience in personalization, ranking, or Generative AI is nice to have
Skills
- Strong collaboration and communication skills, especially with cross-functional stakeholders
Compensation
- Actual compensation within the pay range listed below will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location.
- Base salary is localized according to employee work location.
- In addition to base salary, the compensation for this role includes opportunities for equity grants.
- The base pay for this position ranges from our lowest geographical market up to our highest geographical market within British Columbia.
- $185,000 - $231,500 CAD
Benefits
- Own the technical vision and roadmap for Notification Platform, aligning product strategy with Growth Engineering's broader mission
- In addition to base salary, the compensation for this role includes opportunities for equity grants.
- That's why we offer a comprehensive benefits package for all regular employees, that includes paid time off, paid parental leave, wellness benefit and several paid holidays.
- Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, disability and basic life insurance, an RRSP including an employer match, and a mental health program, among others.
- To learn more about our benefits, visit our careers page here.
Company info
- The Notification Platform team sits within Growth Engineering, powering DoorDash-wide notifications that connect consumers, dashers, merchants, and DoorDash across our Global markets.
- The platform delivers critical transactional notifications that directly affect the order experience, while driving growth through relevant, personalized marketing notifications.
- The team operates around four notification pillars-Reach, Frequency, Liquidity, and Contextualization-split across a Supply side (expanding reach and content liquidity) and a Demand side (decisioning and contextualization).
- From order updates and masked communication to promos, recommendations, and the cross-vertical Notification Hub, the team builds the product and platform systems that deliver the right message to the right audience, on the right channel, at the right time and frequency.
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This listing is sourced directly from DoorDash Canada's careers page and normalized into a canonical job model.