V
Senior Solutions Architect, Performance Marketing
Не указаноПолная занятостьPerformance MarketingAdTechEnterprise Software
Lead post-sale implementation and optimization for enterprise customers using performance marketing, predictive signals, and advertising data to improve paid acquisition outcomes.
Обязанности
- Design and structure pilots across Google Ads and Meta, including campaign selection, budgets, bidding strategies, and success criteria
- Evaluate experiment results and iterate based on performance signals
- Explain performance drivers, attribution, and scaling opportunities to customers
- Monitor model and signal performance and intervene when issues arise
- Lead end-to-end implementation for a portfolio of enterprise customers
- Adapt solution design and data strategy to customer advertising and measurement stacks
- Ensure accurate, reliable data and strong match rates across conversion APIs and mobile measurement partners
- Troubleshoot integration and data issues with internal teams
- Own day-to-day execution and customer communication across multiple engagements
- Coordinate product, engineering, and go-to-market teams
Требования
- 6+ years of experience in a technical, customer-facing role
- 3+ years working directly with enterprise customers in a similar role
- Hands-on experience with Google Ads and Meta Ads, including campaign management, value-based bidding, and test analysis
- Strong knowledge of CPA, ROAS, lifetime value, and incrementality metrics
- Background in performance marketing, user acquisition, or growth
- Experience with conversion tracking and attribution infrastructure such as Meta Conversions API, GA4, or mobile measurement partners
- Strong SQL skills and the ability to analyze data independently using tools such as Snowflake or BigQuery
- Experience with SaaS, adtech, martech, or performance marketing
- Ability to translate performance data into actionable growth recommendations
- Strong communication skills with senior growth and marketing stakeholders
Будет плюсом
- Experience with server-side integrations and signal enrichment
- Familiarity with predictive lifetime value modeling or predictive bidding
- Experience in a startup or high-growth environment