Marketing Automation Specialist, Lifecycle

Job not on LinkedIn

22 hours ago

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Logo of Weekday (YC W21)

Weekday (YC W21)

Human Resources • SaaS • Recruitment

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

11 - 50 employees

Founded 2021

☁️ SaaS

🎯 Recruiter

📋 Description

• Design, build, and manage automated marketing workflows and customer journeys across digital touchpoints. • Develop and execute targeted communication programs using segmentation, personalization, and dynamic content logic. • Build responsive and well-structured email campaigns using HTML/CSS, ensuring cross-device compatibility. • Collaborate with cross-functional teams including marketing, product, and analytics to enhance campaign performance and audience strategy. • Monitor campaign performance metrics, conduct A/B tests, and implement optimization strategies for continuous improvement. • Work with marketing data models and advanced logic to improve targeting, audience insights, and lifecycle engagement. • Maintain campaign documentation, workflows, and quality assurance standards.

🎯 Requirements

• 5–8 years of experience in marketing automation and digital campaign operations. • Hands-on experience with enterprise automation and journey-building tools. • Strong proficiency with personalization techniques and scripting languages (e.g., AMPScript or similar). • Capability to build custom email layouts and components using HTML and CSS. • Solid understanding of segmentation, customer lifecycle management, and performance analytics. • Ability to collaborate effectively across teams and communicate data-backed recommendations confidently.

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