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Who Are We? Moovit is on a mission to improve everyday life for people around the world by making urban mobility smarter, easier, and more sustainable. Every day, millions of people rely on Moovit to get where they…
About TailorCare TailorCare is transforming the experience of specialty care. Our comprehensive care program takes a deeply personal, evidence-based approach to improving patient outcomes for joint, back, and muscle…
JarvisHeart - міжнародна ІТ компанія, яка працює в сфері iGaming. Ми шукаємо Bonus Manager, який(-а) відповідатиме за повний цикл роботи з бонусними механіками: їх розробку, налаштування, економіку та захист від…
The Role LettrLabs is disrupting a $30B industry by uniting AI with tangible marketing. When a storm hits, our platform geo-locates to zip code, activates direct mail campaigns in minutes, and tracks every conversion…
TITLE: Manager, Marketing Automation & Operations DEPARTMENT: Marketing REPORTS TO: Senior Director, Lifecycle Marketing LEVEL: Manager TYPE: Full-Time Regular FLSA : Exempt ROLE TYPE: Individual Contributor OUR…
Build and scale distributed Go systems that power real-time messaging at massive scale, using AI agents and cloud-native tools to deliver reliable, high-performance communication infrastructure.
About Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. powers automated communication that people…
About Over 8,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. powers automated communication that people…
Parallels has an immediate vacancy for this role. We are looking for an experienced Lifecycle Marketing Lead to build and scale lifecycle marketing across Parallels. This role owns the strategy and execution of…
Senior Data Scientist (Americas remote) at Customer.io partnering with Product, Marketing, and CX to analyze customer behavior, design and evaluate experiments, and build models/datasets that guide product and business decisions. Core tools are SQL, Python, and cloud data platforms like Snowflake/BigQuery.
Build and own the distributed backend infrastructure that processes millions of marketing automation events per second in Go, ensuring reliability and scalability for thousands of global customers.
Customer.io is hiring a remote Product Manager to own the experience of its AI agent for self-serve customers, improving the first weeks of the customer journey. Day to day they run experiments, define activation/retention/monetization metrics, and partner with Engineering, Marketing, CX, and Design on an AI-first SaaS messaging platform.
Principal Product Designer at Customer.io shaping the design vision for a messaging automation SaaS platform, leading the design system (Pluma), and designing AI/agentic and developer-focused interfaces.
People Partner Hello, I’m Danielle, Senior Director, People Experience at ! We're expanding our people team in the United States and seeking a People Partner to support our global team in a fast-paced, innovative…
Staff product engineer at Customer.io, a customer-messaging platform (email, push, in-app, SMS) built on Go, React, and AI. You own ambiguous cross-team problems end to end — framing, architecture, launch — mentor engineers, use AI across the SDLC, and join an on-call rotation. Remote across the Americas; $200k–$280k plus 10% bonus.
Staff backend engineer setting technical direction for Customer.io's Go-based distributed messaging systems that deliver billions of emails, push, in-app and SMS messages daily. Focus is on architecture decisions, mentoring, and cross-team alignment; stack includes Go, AWS/GCP, MySQL, React/Ember, and AI tooling.
Hello, I’m Steve, Director of Sales at ! We're expanding our sales team in the United States and seeking motivated and successful Account Executives at the Mid-Market level to join us! This role offers a unique…
Customer.io is hiring a remote (Americas) GTM AI Engineer to take its internal AI agents from scrappy prototypes to production-grade systems: hardening prompts and tool definitions, writing evals, adding observability, owning GCP deployment pipelines, and administering databases so 11 in-production GTM agents scale reliably. Core stack: LLM/agent tooling, GCP, Kubernetes, databases, GitHub workflo
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