Top Tech Jobs & Startup Jobs in Vancouver

Owner of end-to-end production problems: design, build, experiment, ship, and measure outcomes across backend, frontend, data pipelines and AI. Act as a technical leader, reviewer, incident mitigator, and cross-functional partner to product and design while advancing AI-driven tooling and safeguards.

Own and set direction for a large domain, design cross-team architecture, build production systems (often AI-enabled), partner with product/design/data, coach senior engineers, and remain hands-on in code and delivery.

Lead and own the end-to-end Registry design experience, set vision and KPIs, hire and develop a small design team, use AI-native workflows to prototype and ship cross-platform consumer products, partner with PMs/engineers/analytics, and scale design systems and processes to drive measurable business impact.

Lead full-cycle recruiting for Babylist's most complex technical roles (senior to director-level engineers, principal PMs, AI/Builder profiles). Partner with engineering and product leaders, build hiring intelligence (trackers, dashboards, funnel analysis), drive offer strategy in hard negotiations, mentor recruiters, manage agency performance, and raise recruiting standards through calibration, coaching, and data-driven recommendations.

This is a general "talent pool" posting asking candidates to share their background and interest for future corporate roles across the company. No specific duties or requirements are listed.

Own and evolve Babylist's AWS infrastructure, Terraform IaC, Kubernetes/EKS clusters, CI/CD, and observability for a platform serving millions. Lead incident response, improve developer tooling, and set reliability standards across engineering teams.

Own end-to-end product experiences across web and native mobile: set design vision, run user research, rapidly prototype (AI-enabled), write production frontend code, evolve design systems, mentor designers, and drive measurable product outcomes.

Lead end-to-end ownership of a major consumer product surface, set one-year strategy and quality standards, use AI-native tools to prototype and ship, mentor PMs, define KPIs, and drive measurable business impact while raising the team's AI-product craft.

Design, build, and scale Snowflake ingestion pipelines and ML/LLM systems. Create agentic tooling to generate, test, and maintain pipelines. Collaborate with analysts, data scientists, and product teams to deliver reliable, high-performance data infrastructure and operationalize models for an AI-first e-commerce platform.

Lead product for personalization and discovery across Babylist: own strategy, KPIs, and quality for recommendations and feed surfaces. Partner with ML engineering on retrieval, ranking, candidate generation, and evaluation. Drive one-year roadmap, commercial impact, AI-native prototyping, and mentor PMs while raising company-wide judgment on ML investment and implementation.