Top Tech Jobs & Startup Jobs in Vancouver

Own business operations for Payward Services, including partner launch readiness, operating cadence, planning, goal-setting, business reviews, reporting, and leadership updates. Automate manual workflows using AI and integrations, improve repeatable partner launch processes, onboard new products and acquired businesses, and lead strategic cross-functional initiatives. The role partners with Sales, Finance, Product, Engineering, Legal, and Compliance to build scalable operating systems.

Own RFP and DDQ responses, coordinate cross-functional contributions, prepare diligence meetings, qualify inbound leads, maintain CRM integrity, build pipeline reporting, manage deal handoffs, deliver customer insights, and improve sales workflows through automation.

Own end-to-end product design for new B2C and internal AI products, from discovery and prototyping through launch and iteration. Lead zero-to-one design in ambiguous environments, shape non-deterministic user experiences, conduct research, influence product strategy, and partner closely with product, engineering, and leadership. Create visually rich, scalable experiences with strong UX, visual design, systems thinking, and craft.

Owns end-to-end paid video creative for Kraken Consumer, from concept through production, editing, approval, localization, and delivery across multiple platforms and markets. Uses generative AI as a core production method, develops platform-native concepts, interprets creative testing data, and creates iterative performance assets. Collaborates with marketing, compliance, product, and regional teams while maintaining high craft, speed, and regulatory standards.

Lead a cross-functional team of frontend and backend engineers building scalable consumer experiences across mobile and client platforms. Own end-to-end UX delivery, partner with Product and Design, uphold engineering standards, improve usability and performance, mentor engineers, and strengthen agile delivery using metrics such as DORA and cycle time.

Conduct market surveillance across regulated crypto and financial markets by reviewing alerts, analyzing trade and order data, investigating potential market abuse, assessing referrals, drafting suspicious activity and transaction reports, producing regulatory reporting, and supporting surveillance platform enhancements. The role also uses AI and automation for evidence gathering while applying human judgment and maintaining compliance standards.

Lead complex market abuse investigations, review analysts’ work, and present findings to senior stakeholders. Support surveillance threshold and model calibration, platform tooling, suspicious activity reporting, risk assessments, and surveillance coverage development. The role requires market conduct investigation experience, knowledge of abuse typologies across asset classes, surveillance platform expertise, SQL proficiency, strong written judgment, and the ability to escalate issues appropriately.

Leads AML transaction-monitoring optimization, rule testing, threshold tuning, scenario design, and false-positive reduction. Drives FIU automation and workflow improvements, evaluates AI and LLM tools, supports alert triage and investigations, and partners with Product, Engineering, Operations, and vendors on compliance technology integrations. Helps scale monitoring frameworks across products, jurisdictions, and transaction volumes while maintaining regulatory alignment.

Build and operate production AI infrastructure powering intelligent agents at scale. Develop high-performance Rust services for model inference, orchestration, and execution; design scalable distributed systems; establish MLOps, observability, guardrails, and failure recovery; and optimize latency, throughput, reliability, and cost. Partner with agent systems and infrastructure teams to turn prototypes into hardened services serving millions of users.

Own daily operations and quality assurance for an internal AI-powered growth platform. Test releases, rule changes, edge cases, and regressions; document and verify bug fixes; monitor platform and agent activity; manage approval queues; evaluate agent output; escalate risks; and maintain test plans, QA checklists, runbooks, and release notes.