Salary
💰 $148,000 - $206,800 per year
About the role
- Define and own the strategic roadmap for the entire marketing-to-sales funnel, identifying architectural improvements, process innovation, and technological advancement
- Act as the lead strategic partner to Marketing, Sales Development, and Sales Operations leadership to drive alignment and scale operations
- Pioneer exploration and application of new technologies, including AI-driven solutions for lead qualification, data enrichment, and funnel efficiency
- Present strategy, key insights, performance metrics, and recommendations to executive leadership
- Architect and own the systems and logic governing the end-to-end prospect journey across go-to-market systems
- Lead cross-functional initiatives to analyze and re-imagine funnel performance and implement strategic programs
- Establish and preside over a center of excellence for lead management, defining best practices and ensuring adoption
- Design and enforce a comprehensive data governance strategy to ensure data quality, privacy, and accessibility within Snowflake Data Cloud
- Lead strategy for data enrichment and hygiene programs; evaluate and deploy tools and processes
- Partner with Data Engineering and Business Intelligence leaders to ensure marketing data infrastructure is reliable and strategic
Requirements
- 10+ years of progressive experience in Marketing Operations or a related field
- Proven experience architecting and owning the go-to-market technology stack, particularly Salesforce, Marketo (or equivalent), and lead management platforms like LeanData
- Strategic mindset with the ability to translate executive-level business goals into a concrete operational roadmap and technical requirements
- Demonstrated success in leading large-scale, cross-functional projects that delivered measurable improvements in funnel performance and data quality
- Strong leadership and influencing skills; ability to build consensus among senior leaders and drive organizational change without direct authority
- Deep expertise in data governance, data modeling, and privacy regulations (GDPR, CCPA)
- Proficiency in SQL and strong understanding of data warehousing concepts
- Interest and understanding of how AI and emerging technologies can be applied to marketing operations
- Must follow company confidentiality and security standards for handling sensitive data