Knotch

55 Total Employees
Year Founded: 2013

Jobs at Knotch

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Recently posted jobs

2 Days AgoSaved
Remote
Canada
Big Data • Enterprise Web • Marketing Tech • Software
Lead QA strategy and automation across Knotch’s products, building scalable testing frameworks, API validation, CI/CD integrations, coverage metrics, and AI feature evaluation. Manage offshore QA staff, hire a US-based team, perform manual and performance testing, investigate root causes, and collaborate with engineering and product teams to improve quality and release confidence.
10 Days AgoSaved
In-Office or Remote
3 Locations
Big Data • Enterprise Web • Marketing Tech • Software
Own commercial strategy and senior stakeholder relationships across enterprise accounts. Drive renewals, pricing, expansions, product adoption, forecasting, and multi-quarter pipeline growth. Build account plans tied to measurable business outcomes, lead executive conversations, and position Knotch as a strategic marketing technology partner. Collaborate with Customer Success, Consulting, Finance, Product, and leadership to align commercial strategy with delivery, roadmap considerations, and customer priorities.
24 Days AgoSaved
Remote
Canada
Big Data • Enterprise Web • Marketing Tech • Software
Build and maintain features across a real-time AI-generated React application and a mature React analytics platform. Responsibilities include component systems, streaming UI contracts, multi-tenant theming, customer embeds, accessibility, testing, performance, data visualization, and API collaboration. The role requires independent ownership, clear technical writing, mentoring, and effective work across established and greenfield codebases.
One Month AgoSaved
Remote
2 Locations
Big Data • Enterprise Web • Marketing Tech • Software
Analyze web, journey, survey, and marketing data to uncover actionable insights for enterprise clients. Translate technical findings into business recommendations, test-and-learn plans, dashboards, reports, and presentations. Collaborate with account teams, ensure data quality and statistical rigor, investigate anomalies, and support client questions. The role requires expertise in analytics platforms, data visualization, spreadsheets, SEO, and client-facing data storytelling in a fast-paced SaaS environment.