Revenue Operations Manager

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.

Please note, we are only accepting applicants from the provinces of Ontario and Québec for this role. For Québec-based candidates, fluency in English is necessary because the position entails collaboration with teams based in the rest of Americas and occasionally in Europe.

We are looking for a Revenue Operations Manager (AI & Automation) to own and optimize how inbound and outbound leads are captured, routed, and converted into pipeline.

This role is critical to scaling our go-to-market engine. You will design and operate an AI-driven follow-up system that ensures every high-quality lead is engaged quickly, consistently, and effectively—without relying on a traditional BDR team.

You will act as the connector between AI-powered systems and human sellers, ensuring that automation enhances—not replaces—sales effectiveness. This is not a traditional operations role. You will be building the engine that converts demand into pipeline, using AI and automation to augment sales teams and unlock scalable growth.

• Own end-to-end lead routing logic within the CRM
• Ensure all inbound leads are assigned rapidly and systematically track human follow-up
• Build and maintain routing rules (territory, round-robin, priority tiers)

• Design, implement, and optimize AI-assisted follow-up systems
• Ensure every qualified lead is enrolled in structured, multi-touch engagement (5–10 touches)
• Continuously refine how AI is used to:
• Generate messaging
• Adapt sequences based on lead behavior and signals
• Act as the bridge between AI tools and gr teams
• Ensure AI-generated outreach is:
• Relevant
• Timely
• Actionable for sellers
• Translate sales feedback into improvements in AI workflows and logic
• Ensure sellers can easily engage with, respond to, and convert AI-generated conversations

• Integrate and operationalize data from multiple sources (intent signals, contact data, inbound activity)
• Structure and enrich data to improve AI performance and segmentation
• Identify and resolve gaps in data flow, enrichment, and quality
• Integrate partner data (certifications, partner-sourced leads, co-sell signals) into CRM/marketing workflows to improve targeting and visibility

• Build visibility into partner certification requirements (Google, Adobe, Shopify, etc.) and track status across teams
• Set up automated workflows to identify certification gaps and trigger follow-ups to ensure readiness
• Capture and structure partner-driven wins, use cases, and proof points so Sales/Marketing can reuse them in-market
• Partner with the Partnerships team to align certification readiness with GTM priorities and co-sell opportunities

• Track and report on:
• Speed to lead
• Lead-to-meeting conversion rates
• Effectiveness of AI-driven outreach
• Continuously test and optimize:
• Messaging
• Process Improvement & Scalability
• Identify bottlenecks in lead handling and conversion
• Build scalable workflows that reduce manual effort
• Own the system that ensures no qualified lead goes untouched
• Track partner-influenced pipeline, certification coverage, and effectiveness of partner-enabled campaigns

• 3–6+ years in Revenue Operations, Marketing Operations, or Growth
• Strong experience working with CRM systems and lead lifecycle management
• Hands-on experience with automation and AI-powered tools in go-to-market workflows
• Proven ability to design and optimize workflows that combine automation with human sales execution
• Comfortable working with data, segmentation, and performance metrics
• AI-fluent operator: you understand how to apply AI tools to real business workflows—not just experiment with them
• Experience with partner ecosystems and certification/co-sell motions is a plus
• Systems thinker: you design scalable processes…