Senior Manager, Demand Generation Automation and Marketing Operations

Scandit is a company that empowers individuals through innovative technology to enhance operational efficiency across various industries. They are seeking a Senior Manager for Demand Generation Automation and Marketing Operations to lead the integration of AI and automation into their marketing processes, optimizing systems to improve demand generation and operational efficiency.

Responsibilities:

• Design and lead the transition toward an AI-augmented outbound engine and automating the end-to-end inbound nurture cycle
• Build a scalable, autonomous machine that surfaces high-intent accounts to sales development reps and automates routine outreach tasks
• Design and govern the 'logic' behind AI-driven personalization, including prompt engineering and agentic workflows
• Lead the QA of AI-generated outputs to ensure they maintain Scandit’s brand voice, while managing the lifecycle of automated agents used for account research, lead enrichment, and meeting preparation
• Ensure reliability, deliverability, and compliance with GDPR, brand standards, and email best practices
• Consistently monitor domain reputation management
• Architect the tech stack required to power an autonomous demand engine
• Lead the business case for new tools and ensure the underlying 'signal-to-action' infrastructure (connecting CRM, MAP, and AI) is clean, scalable, and highly integrated
• Run controlled tests to continuously improve workflows
• Systematically measure the business impact, monitoring metrics like conversion rates, pipe-to-spend and ROI of the strategies you build
• Socialize and scale new processes across the Demand Gen and Sales teams
• Create clear handoff and ownership to the sales development function for priority leads and accounts
• Influence stakeholders to adopt modern outreach methodologies and drive the cultural shift toward automation-first operations

Requirements:

• 10+ years of Marketing Operations experience and experience leading direct reports
• Hands-on experience with tools like Salesforce, Marketo/HubSpot, Gong, Enrichment Providers, and modern 'modern growth stack' tools (e.g., Clay, Zapier/Make, Relevance AI, Hockeystack/Dreamdata, or Lavender)
• Experience with LLM orchestration or agentic workflows
• Comfortable with LLM orchestration, token management, and the 'Human-in-the-Loop' QA processes required to keep AI outputs high-quality and on-brand
• Rigorous about data privacy (GDPR), email deliverability standards, and maintaining a high bar for 'human-sounding' personalization that doesn't feel like spam
• Strong testing/experimentation orientation, you focus on measurable outcomes
• Ability to act as the 'bridge' between technical operations and Marketing