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Salary
≈ $76k – $191k per year (Estimated)
Location
In office (Toronto)
Seniority
Staff · 10+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Sep 28, 2026. Pinterest scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Pinterest is a visual discovery and social platform where users save and share images and ideas, headquartered in San Francisco, California.

Join Pinterest as an Engineering Manager for the Android Modernization team in Toronto. You will lead a specialized team of Android engineers, set the technical vision and roadmap, drive platform modernization, and improve client stability and performance. You will also be responsible for hiring, onboarding, and developing engineers, and using AI to accelerate engineering workflows. Candidates should have a Bachelor's degree in Computer Science or a related field, 10+ years of engineering experience, and strong communication and collaboration skills.

Missions

  • Lead and manage a specialized team of Android engineers, setting the technical vision and roadmap in partnership with cross-functional teams.
  • Drive platform modernization efforts to help product teams adopt modern client architectures and build high-quality experiences.
  • Establish clear operating rhythms for planning, risk management, and stakeholder updates, while hiring, onboarding, and developing engineers.

Profil recherché

- Bachelor’s degree in Computer Science, a related field or equivalent experience

- Strong technical judgment grounded in mobile Android engineering, e.g. Kotlin, Compose, and modern architectures like MVVM

- 10+ years of experience in engineering, including 2+ years of experience in engineering management

- Experience partnering with Senior/Staff engineers to build high impact roadmaps

- Strong communication and collaboration skills, and experience aligning priorities across teams and driving delivery through ambiguity and competing stakeholder needs

- Demonstrated ability to use AI to improve speed and quality in day-to-day workflows, with a strong practice of validating AI-assisted work and maintaining ownership of final outcomes

- Experience building platform capabilities that improve the productivity and effectiveness of product engineering teams

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