6 дней назад
Enterprise Feed Manager (Ecommerce)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Enterprise Feed Manager (Ecommerce): Managing and optimizing product data feeds for enterprise advertising-channel clients across Google, TikTok, and Meta with an accent on technical integrations, data quality, and client growth. Focus on configuring feed mappings, solving platform and synchronization issues, and building strategic partnerships that improve retention and revenue.
Location: Austin, Texas, United States
Company
is an AI-driven ecosystem that connects Big, Feedonomics, and Makeswift to help businesses manage data, operations, and personalized customer experiences.
What you will do
- Manage a portfolio of 20+ premier advertising-channel clients and serve as their primary point of contact and trusted advisor.
- Lead monthly client meetings, strategic business reviews, renewal discussions, and growth initiatives in partnership with Sales.
- Configure and map data from delimited files, XML, APIs, and custom scripts into the Feedonomics platform.
- Assess data quality, resolve discrepancies, and optimize product feeds for Google, Meta, TikTok, and other advertising platforms.
- Install, troubleshoot, and maintain platform integrations while coordinating with Product and Engineering on technical challenges.
- Document account processes, feed requirements, optimization strategies, project milestones, and client growth plans.
Requirements
- At least 3 years of experience in data-feed account management, product-data optimization, and channel integrations.
- At least 3 years in client-facing support or relationship management.
- At least 3 years of experience in digital marketing and/or e performance.
- At least 3 years of project management experience managing multiple workstreams and cross-functional collaboration.
- Excellent written and verbal communication, persuasion, presentation, and client relationship skills.
- Strong organization, attention to detail, prioritization, deadline management, and customer focus.
Culture & Benefits
- Work in an AI-driven ecosystem focused on responsible AI adoption and innovation.
- Variable compensation, equity, and benefits may be available according to local policies.
- promotes an inclusive and accessible hiring experience.
- Compensation is determined using experience, skills, qualifications, geographic location, and internal equity.
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