Top Tech Jobs & Startup Jobs in Vancouver

Qualify software trial leads through phone, text, and email; generate interest and build value for Account Executive conversations. Maintain accurate Salesforce records, collaborate with sales teammates, meet daily and monthly KPIs, and participate in ongoing sales development. The role requires high-volume outbound calling, resilience, adaptability, strong communication, active listening, and a customer-focused approach.

Leads Sales and Marketing Analytics by managing analysts, setting the analytics roadmap, and guiding measurement strategy across acquisition, demand generation, sales, partnerships, and revenue funnels. Owns frameworks for attribution, incrementality, forecasting, marketing mix modeling, CAC, LTV, and ROI. Partners with senior leaders and data teams to deliver trusted reporting, executive insights, self-serve analytics, automation, and responsible AI-powered decision support.

Partners with business leaders and managers on performance, development, compensation, organizational structure, change, employee relations, and the full employee lifecycle. Coaches new managers, manages performance and compensation cycles, handles leaves and accommodations, supports talent reviews and succession planning, and drives people initiatives. Uses workforce data and AI to improve decision-making, automate work, and build scalable guidance and processes.

Leads and coaches a software engineering team, supports career development, participates in hiring, removes delivery roadblocks, and shapes technical direction. The manager ensures reliable, high-performing systems while driving daily adoption of agentic AI tools and collaborating with Product and Business Technology stakeholders. The role requires a strong full-stack engineering background, architectural expertise, experience delivering quality software, and demonstrated success leading AI adoption.

Lead and develop a credit risk analyst team while owning underwriting, exposure decisions, portfolio monitoring, loss forecasting, reporting, and provisioning. Partner with Data Science, Risk Analytics, Finance, Product, and Support to build credit risk models, policies, controls, and automated workflows. Establish an AI-native credit risk practice for payments and future lending products, communicate portfolio trends to leadership, and support vendor evaluations and product launches.

Lead and mentor engineering teams to design, architect, and deliver scalable, maintainable software. Drive cross-team initiatives, partner with Product and Design, participate in code reviews, promote engineering best practices, and spend time on Staff Dev Projects to reduce technical debt and explore emerging technologies.

Leads revenue operations strategy, GTM systems, top-of-funnel experimentation, AI and automation deployment, data vendor relationships, forecasting, and pipeline optimization. Owns marketing and outbound automation, including API integrations, n8n workflows, scoring pipelines, reporting, monitoring, debugging, and enablement. Partners across Marketing, Sales, and Customer Success to scale revenue processes, validate growth hypotheses, and improve conversion systems.

Own and improve RevTech operational processes: user lifecycle management, tool support and triage, minor Salesforce and GTM tooling changes, AI-enabled automation, platform audits, data loads, and documentation. Act as first-line support, investigate intake requests, assist larger rollouts, and drive process improvements to scale revenue operations.

As a Senior Software Engineer, you'll collaborate with teams to build solutions, mentor junior members, ensure code quality, and drive best practices in a supportive environment.

Senior individual-contributor analytics role partnering with Sales and Partnerships to drive acquisition decisions. Lead funnel and channel analyses, experimentation, forecasting, impact evaluation, KPI governance, and scalable analytics. Translate ambiguous business questions into actionable recommendations, mentor analysts, build dashboards and decision tools, and collaborate with BI, Data Science, and cross-functional stakeholders to improve acquisition quality and efficiency.