Top Tech Jobs & Startup Jobs in Vancouver

Own and deliver complex technical, business, and organizational programs from problem definition through handoff. Partner with engineering, product, design, finance, and GTM teams to align priorities, resolve dependencies, improve execution, and provide leadership with progress, risk, and resource visibility. Help establish TPM practices, processes, hiring, and onboarding while applying data-driven program management and AI-enabled operational improvements.

Leads complex government AI deployments from pre-sale discovery through production adoption, overseeing client relationships, delivery planning, cross-functional execution, change management, and executive communication. Translates agency workflows into technical requirements, manages risks and dependencies, drives measurable outcomes, and converts deployment feedback into product improvements. Builds deployment playbooks, operating cadences, and future delivery teams while supporting renewals and expansions. Requires strong AI/ML and enterprise systems fluency, senior stakeholder leadership, and 30–50% travel.

Own Brain Co.'s sales operations systems, CRM data, forecasting, pipeline reviews, pricing approvals, deal handoffs, dashboards, sales planning, and compensation administration. Partner with sales leadership, finance, and general managers to connect bookings with financial plans, improve sales processes, and support enterprise growth. The role requires Salesforce or HubSpot administration, analytical modeling, deal desk experience, and strong cross-functional communication.

Build Brain Co.'s financial-services sales business by creating demand, sourcing and qualifying opportunities, developing value cases, leading complex technology engagements through multimillion-dollar close, and coordinating security, legal, procurement, and delivery handoffs. The role also informs product strategy, develops repeatable sales practices, and manages enterprise relationships across banking, lending, wealth management, and real estate investing.

Own new business and account growth across a portfolio of U.S. states. Build executive relationships, identify agency needs, develop value cases, secure funding, lead complex technology deals through close, and expand customer engagements. The role requires navigating state procurement, budgets, contracts, security approvals, and delivery alignment while building a repeatable public-sector sales motion for AI solutions.

Own the company’s operating cadence, including leadership meetings, business reviews, planning, and goal tracking. Prepare board and investor materials, analyze business performance, and lead strategic projects for the CEO and CFO. Design scalable internal processes, support market and partnership evaluations, and drive cross-functional initiatives to completion. The role requires strong analytical, communication, ownership, discretion, and ambiguity-management skills.

Own end-to-end delivery of applied AI deployments for financial-services clients, from discovery through production and sustained adoption. Lead cross-functional teams, manage priorities and risks, define product requirements, drive organizational change, measure customer value, maintain senior client relationships, and identify account expansion opportunities. Build prototypes, evaluate AI outputs, advise on technical trade-offs, and help develop reusable deployment practices.

Manage IT and workplace operations for the San Francisco office, including AV systems, corporate networks, equipment, vendors, and employee support. Provide hands-on hardware and software troubleshooting, administer Okta access, and manage onboarding and offboarding. Lead office installs, equipment purchasing, and conference-room setup while partnering with infrastructure and security teams. Support compliance activities, new-office launches, and potential growth of an IT support team.

Own Brain Co.’s developer platform, including development environments, monorepo tooling, build systems, CI/CD, code-review automation, and engineering workflows. Measure and reduce developer friction through instrumentation and user feedback. Improve reliability, onboarding, adoption, and delivery speed across cloud, regulated, and air-gapped environments. Integrate AI-assisted development tools, support migrations, and operate the platform through its full lifecycle.

Build and deploy production machine learning systems, including LLMs, agents, and RAG applications, for healthcare, government, energy, and other regulated industries. Responsibilities include developing scalable data pipelines, optimizing model performance, monitoring deployed models, translating research into practical solutions, collaborating with leaders and cross-functional teams, and contributing to software engineering practices. The role is designed for a 2027 bachelor's graduate with hands-on generative AI and machine learning framework experience.