Top Tech Jobs & Startup Jobs in Toronto

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.

Own full-cycle, high-volume recruiting for sales and customer success roles, including sourcing, screening, interviewing, scheduling, stakeholder coaching, and closing. Build diverse talent pipelines, use funnel metrics and candidate feedback to improve hiring outcomes, experiment with AI-enabled recruiting workflows, promote inclusive hiring, deliver an exceptional candidate experience, and strengthen the employer brand. Partner closely with hiring managers in a fast-paced SaaS environment.

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.

Senior Customer Analytics Manager leads strategic analytics across the customer lifecycle—acquisition, onboarding, engagement, retention, monetization, and expansion. Partners with cross-functional teams to translate business questions into rigorous analyses, experimentation, forecasting, and predictive models; defines KPIs; builds dashboards and decision tools; mentors analysts; and drives scalable, AI-enabled analytics that inform executive decisions and improve customer value.

Lead full-cycle technical recruiting for engineering, design, product, data, and security roles. Partner with hiring managers to build diverse pipelines, use data and AI to optimize hiring, run competency-based interviews, coach stakeholders, and improve employer branding and candidate experience.

Lead design, implement, operate, and maintain AWS infrastructure using Infrastructure-as-Code (Terraform). Build local tooling and deployment/observability integrations (e.g., CircleCI), participate in on-call rotation, improve CI/CD performance, mentor engineers, manage incidents, and move platform toward Kubernetes while supporting Ruby/Python/Bash production workloads.

Lead end-to-end product design for web and mobile SaaS fintech experiences. Define UX strategy, collaborate with Product, Engineering, and Data, champion customer-centric solutions, drive high-impact projects, mentor designers, and deliver scalable, regulated-domain designs informed by LLM tools.

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.