Jobs at Cambly

Lead Cambly’s global CRM strategy across email, in-app, push, and messaging channels. Own the CRM roadmap, platform and vendor relationships, audience segmentation, lifecycle journeys, deliverability, experimentation, analytics, and cross-market performance. Coordinate marketing, product, engineering, data, creative, and regional teams to improve acquisition, engagement, retention, and profitability. Drive messaging-platform expansion, AI and automation initiatives, technical instrumentation, reporting, and repeatable campaign processes.

Own Cambly’s global CRM strategy, roadmap, platforms, audience segmentation, lifecycle journeys, deliverability, experimentation, and performance reporting. Lead multi-market messaging across email, in-app, push, WhatsApp, WeChat, and KakaoTalk. Manage vendors, cross-functional initiatives, AI and automation adoption, and partnerships with product, data, engineering, creative, and regional teams to improve acquisition, engagement, retention, and profitability.

Own Cambly’s global CRM strategy across email, in-app, push, and messaging channels. Lead the CRM roadmap, platform and vendor relationships, audience segmentation, lifecycle journeys, deliverability, experimentation, analytics, and AI-driven automation. Coordinate cross-functional initiatives across marketing, product, engineering, data, creative, and regional teams while driving acquisition, engagement, retention, and profitability across international markets.

Generate qualified sales opportunities in the Turkish B2B market through outbound prospecting, account penetration, social selling, cold calls, email sequences, and event follow-up. Qualify and nurture leads, conduct persistent follow-up, research prospects, support marketing activities, and ensure qualified handoffs to Account Executives. The role also contributes market insights and helps improve the sales playbook and technology stack.

Lead backend system design and delivery for AI-forward language-learning products. Own APIs, data models, and production services; make architectural trade-offs; ship end-to-end features; mentor engineers; work across frontend, mobile, and data when needed; and establish engineering practices that scale and incorporate AI coding workflows.