Madhive

Operations

• Define and execute the overall sales operations strategy aligned with Madhive's business objectives and sales goals.
• Optimize sales processes, workflows, and tools to enhance efficiency and effectiveness.
• Own upselling initiatives from ideation to analysis.
• Act as a technical liaison between sales teams, product, and engineering for both platform and local space customers.
• Provide technical support and guidance to sales teams on Madhive's products and solutions.
• Collaborate with sales enablement to develop customer-facing materials and training for platform and local space utilization.
• Assist in complex deal structuring and technical problem-solving for customer solutions.
• Manage and mentor a small team of sales operations professionals; foster continuous improvement and professional growth.
• Delegate tasks effectively and ensure team objectives are met.
• Lead and manage sales operations projects from initiation to completion, ensuring on-time and on-budget delivery.
• Develop project plans, track progress, communicate status to stakeholders, and identify and mitigate project risks.
• Establish KPIs and metrics to measure effectiveness and ROI of sales operations initiatives; analyze sales data to identify trends and opportunities for growth.
• Collaborate closely with Sales, Marketing, Product, Finance, and other internal teams to ensure alignment and support overall business objectives.
• Work from Madhive's NYC office 3-4 days per week (hybrid).

VP, Sales Operations and Strategy

Data Engineer

• Design and implement scalable data pipelines for ingesting, processing, and transforming large volumes of universal pixel and event data
• Build and maintain real-time and batch workflows using tools like Kafka, Airflow, and BigQuery
• Collaborate with engineers and product teams to ensure event data is captured accurately through our JavaScript-based universal pixel
• Own and optimize ELT processes to support reporting, analytics, and machine learning use cases
• Develop and maintain data models to support internal stakeholders and platform features
• Monitor pipeline health, implement anomaly detection, and maintain high data quality standards
• Contribute to the evolution of our cloud data infrastructure (built on GCP)
• Document data pipelines, models, and operational workflows for transparency and team knowledge sharing
• Promote and enforce best practices in data engineering, observability, and data governance

VP, Sales Operations and Strategy

Senior Data Engineer