Top Tech Jobs & Startup Jobs in Vancouver

Designs, builds, and operates shared machine learning infrastructure, including feature stores, model hosting, inference, training, evaluation, and rules engines. Leads large-scale distributed systems, reliability improvements, incident response, and safe deployments. Partners with applied ML teams to develop reusable platform capabilities, supports internal users, mentors engineers, and contributes to technical roadmaps and design reviews.

Own Treasury’s data architecture and technical roadmap, personally building and operating a Snowflake liquidity datamart with source integrations, data models, reconciliation, controls, and data contracts. Partner with machine learning engineers on forecasting datasets and lead the Treasury Management System build-versus-buy recommendation. The role requires production reliability, automation, incident response, stakeholder management, and translating ambiguous financial business problems into adopted systems.

Design, build, and operate shared backend platforms and frameworks for data acquisition, processing, and access. Lead projects from architecture through production, develop event-driven and batch or streaming systems, and improve reliability, observability, scalability, and data quality. Collaborate with software engineers, data engineers, and data scientists, make architectural trade-offs, mentor engineers, and contribute to technical standards. The role may also involve external data integrations and analytics and machine-learning data systems.

Lead global tax information reporting and withholding across Block’s businesses, including 1099, 1042-S, FATCA, CRS, DAC7, digital asset reporting, and related filings. Oversee compliance strategy, controls, notices, examinations, penalty defense, product requirements, automation, platforms, providers, and a specialized team. Partner with Product, Engineering, Data, Tax Technology, Legal, Compliance, and Internal Audit to improve reporting accuracy, controls, timeliness, and customer experience.

Leads Block’s global income tax provision, ASC 740 reporting, effective tax rate forecasting, U.S. federal and state compliance, tax disclosures, SOX controls, audits, examinations, and cash tax forecasting. Manages internal teams, Big Four providers, advisors, budgets, and filing priorities while driving automation and AI adoption. Prepares technical tax memos, supports transaction structuring, mentors tax professionals, and partners with Finance, Legal, Accounting, Treasury, and international tax teams.

Own and scale enterprise compensation programs, including pay structures, equity, promotions, geo-pay, and incentive frameworks. Partner with compensation operations and data teams to automate workflows, build self-service tools, establish policy governance, and improve reporting. Advise senior leadership on talent market positioning, pay equity, and organizational design while driving strategic, data-informed total rewards initiatives.

Owns credit policy development and governance for Square Financial Services, including underwriting strategy, policy experimentation, portfolio monitoring, regulatory documentation, and risk reporting. Designs rigorous champion-challenger tests, randomized holdouts, and staged rollouts while balancing growth, losses, profitability, fair lending, and bank oversight requirements. Partners with Risk, Compliance, Internal Audit, and senior leadership to scale credit products responsibly.

Leads global ecosystem partnership strategy across Afterpay, Cash App, and Square. Identifies and evaluates new partnership opportunities, develops business cases and commercial models, negotiates complex agreements, and guides initiatives from concept through launch and scale. Owns portfolio performance, commercialization, executive relationships, and cross-functional alignment across Product, Engineering, Sales, Marketing, Finance, Compliance, and Legal. Builds repeatable partnership practices and mentors senior colleagues.

Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.

Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.