Job Description for Manager II, Engineering at Pinterest (Toronto): About Pinterest:

• Platform for creative ideas and inspiration.
• Mission: Bring everyone inspiration to create a life they love.
• Emphasis on innovation, growth opportunities, unique experiences, and flexibility.
• AI is a powerful partner augmenting creativity and impact.
• Interview process explores foundational skills and collaboration with AI.

Role Overview:

• Engineering Manager to lead Verticalized Shopping team (mobile and backend).
• Make every Pin actionable from inspiration to purchase.
• Own technical vision and execution for shopping experiences across Ads, Content, Growth.
• Pioneer use of generative AI to convert human inspiration into clear next steps for users.
• Work closely with Product, Design, Data Science, commerce partnerships.
• Hire and grow engineers, set high standards for craft and speed.
• Build systems/processes enabling best work while shaping commerce future on Pinterest.

Responsibilities:

• Lead end-to-end mobile and backend team making Pins shoppable/actionable.
• Own technical roadmap for verticalized shopping across Ads, Content, Growth.
• Pioneer generative AI use to turn inspiration into actionable steps for Pinners.
• Drive experiment-led culture focusing on utility, retention, revenue.
• Hire and inspire high caliber engineers.
• Integrate AI-driven personalization/recommendation systems improving conversion/user satisfaction across Ads, Content, Growth surfaces.
• Lead rapid design/prototyping/scaling of AI-powered experiments.
• Build technical harness, context retrieval, prompt orchestration, evaluation, guardrails for LLM systems ensuring predictability, quality, production readiness.

Qualifications:

• 9+ years software engineering experience; 3+ years engineering management leading end-to-end product teams.
• Thought leader and cross-functional partner driving innovation and high performance.
• Experience building large scale distributed systems and mobile experiences in consumer/ads/commerce domains.
• Comfortable with experiments, metrics, ambiguity; data-driven fast iteration for product-market fit.
• Excitement about applied generative AI turning content into action for users/merchants/advertisers.
• Proven success leveraging generative AI or machine learning to build scalable consumer products focusing on experiment velocity and recommendation quality.
• Ability to build technology/processes/playbooks harnessing LLMs effectively with proper context/controls for reliable outputs.
• Enthusiasm for creating frameworks/team culture using AI as force multiplier accelerating learning/efficiency/innovation in shopper engagement and commerce tech.

Additional Information:

• Position not eligible for relocation assistance.
• Hybrid work model: in-office collaboration 1–2 times per quarter; must be commutable to Toronto office (85 Richmond St. W).
• Equal opportunity employer committed to inclusion.

Note: The company uses artificial intelligence to screen applicants.