About the role
Join our team to spearhead the evolution of our marketing infrastructure, ensuring seamless integration of tools and high-quality data insights. In this role, you will t shape our operational workflows and empower our marketing teams with the technical excellence.
Our expectations
- Hands-on experience with a CRM (e.g., Salesforce, HubSpot, Microsoft Dynamics)
- Experience with marketing automation platforms (e.g., HubSpot, Marketo, Pardot, Eloqua)
- Proven experience building and maintaining lead scoring models
- Strong understanding of lead lifecycle stages, MQL definitions, and sales handoff processes
- Advanced data skills:
- List building and segmentation
- Data cleaning and validation
- Understanding of relational data models
- Advanced reporting and dashboarding skills
- Native CRM/marketing reports and/or BI tools (e.g., Looker, Tableau, Power BI)
- Proficiency in Excel or Google Sheets (pivot tables, formulas, data analysis)
- Understanding of campaign tracking, UTM parameters, and attribution models
- Experience managing data integrations between systems
Nice to have
- SQL or basic database querying skills
- Experience with CDPs or data warehouses
- Experience optimizing MQL thresholds based on conversion data and pipeline impact
- Familiarity with revenue operations or alignment across Marketing, Sales, and Customer Success
- Experience with A/B testing frameworks and experimentation tools
- Knowledge of API integrations or automation tools (e.g., Zapier, Workato)
- Experience supporting B2B marketing teams or complex sales cycles
- Familiarity with consent management and privacy tooling
Main responsibilities
- Own and maintain marketing data across systems (CRM, marketing automation, analytics tools)
- Build, segment, and manage marketing lists for campaigns, lifecycle programs, and sales enablement
- Design, implement, and own lead scoring models (behavioral and demographic/firmographic)
- Define, manage, and optimize the Lead → MQL process in partnership with Sales and Revenue teams
- Ensure clear MQL criteria, SLAs, and handoff processes between Marketing and Sales
- Monitor lead quality, conversion rates, and funnel performance from Lead through MQL
- Ensure data quality through regular audits, deduplication, normalization, and enrichment
- Design and maintain marketing reports and dashboards (campaign performance, funnel metrics, attribution, ROI)
- Support campaign execution by setting up tracking, automation, and QA processes
- Manage integrations and data syncs between marketing platforms and CRM systems
- Document processes, scoring logic, lifecycle stages, and data definitions
- Identify and implement improvements to marketing tools, workflows, and reporting
- Ensure compliance with data privacy regulations
