Technical Account Manager - Shopping Ads

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Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Would you like to work in a dynamic and international company? Are you highly motivated and want to contribute to the success of our team? If so, you are the right person to join our CSS Partnerships team as a Technical Account Manager - Shopping Ads. You will play a key role in growing our hybrid Affiliate Marketing and Paid Search efforts.

• Support partner technical onboarding for shopping ads integrations by managing feed and API setup, authentication, schema alignment, data validation, and delivery SLAs.
• Document partner requirements and provide clear implementation mentorship; assist partners in configuring feeds/APIs according to published specifications.
• Build reliable technical runbooks and incident response protocols for managing tracking, API, or feed concerns; facilitate partner-wide triage and ongoing refinement of reliability and data quality.
• Develop and maintain technical documentation (guides, playbooks, onboarding materials) that accelerate partner readiness and ensure consistent execution.
• Collaborate with product and engineering collaborators to share partner use‑cases and constraints that inform roadmap decisions (e.g., feed formats, rate limits, filters, product info sharing).
• Track and report portfolio‑level technical benchmarks such as integration readiness, data latency, SLA adherence, error budgets, and signal coverage; surface risks and propose mitigation plans.

• 2+ years in Technical Account Management, Partner Engineering, Solutions Architecture, or similar roles supporting external partners in ads, retail media, or e‑commerce.
• Hands-on experience with REST APIs and data feeds (CSV/JSON; familiarity with batch and streaming concepts), authentication, and integration reliability at scale.
• Working knowledge of Shopping Ads ecosystems (e.g., CSS/Merchant Center workflows, feed policies, disapproval handling, attribution, and optimization levers).
• Ability to read and troubleshoot schemas, rate limits, and partner‑specific data needs; strong comfort with data validation and QA.
• Understanding of data governance, privacy, and partner diligence guidelines; capable of detailing risk assessments and value cases.
• Excellent communication skills and the ability to collaborate with external engineering teams and cross‑functional collaborators.
• Experience developing solutions related to shopping ads integration or feed architecture; proficiency in SQL/Python for validating data; background in incident management with SLOs/SLA monitoring and operational runbook writing.
• Technical depth with customer empathy to translate partner goals into robust, compliant implementations.
• Operational precision in monitoring, alerting, and incident response for APIs and feeds.
• Data‑driven decision‑making, quantifying performance impacts and evaluations.
• Influence without authority to align diverse collaborators and drive timely resolution.
• Documentation excellence to scale knowledge and accelerate onboarding across partners and regions.

Prague/Milan; collaborates across time zones with occasional travel for partner workshops and planning.

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