Revenue Operations AI Program Lead

This is a fully remote position, open to applicants in Canada.

📋 Description

• Enhance efficiency and scalability by designing and implementing workflows that connect GTM signals (intent, engagement, enrichment, lifecycle events) to outcomes, transitioning from manual, inconsistent processes to standardized, measurable operating patterns. Examples include:

• Lead/account qualification and routing driven by signals (e.g., intent + ICP fit → owner/sequence/next best action), with defined SLAs and exception handling.

• Automation of research and personalization that utilizes existing systems and pre-built agent concepts (research agents, prospecting agents, sales↔marketing feedback agents, cross-sell agents) to minimize rep/admin time and enhance message quality and consistency.

• Automation of partner motion linked to partner objects, sourcing taxonomy, and reporting readiness (partner data → dashboards → actions), aimed at improving pipeline attribution and partner execution.

• Develop and maintain dependable integrations, automations, and data synchronization patterns across the GTM stack, enhancing data quality, minimizing tool sprawl, and ensuring actions are initiated from reliable signals.

• Create an AI/automation operational cadence for GTM: intake → prioritization → build → QA → release → measure → iterate, with clearly defined owners, SLAs, and documentation to lessen ad hoc requests and rework.

• Implement instrumentation and monitoring for automations/agents (throughput, failure modes, fallbacks, and human-in-the-loop paths) so GTM teams can have confidence in and adopt what has been delivered.

• Establish and monitor success metrics for each workflow (time saved, speed-to-lead, conversion lift, pipeline impact, data quality), partnering with Analytics to make results visible in Power BI.

• Promote adoption through enablement efforts: stakeholder training, playbooks, change management, and feedback loops that transform prototypes into repeatable, scalable workflows for everyday use.

⛳️ Requirements

• 5+ years of experience in RevOps / GTM Engineering / Sales Ops Engineering, with substantial exposure to CRM + MAP + data warehouse environments, and a proven track record of enhancing GTM teams’ efficiency through improved systems and automation.

• Strong practical skills in building automations/integrations (APIs, webhooks, iPaaS/automation tools, or lightweight services) with a focus on production discipline (testing, monitoring, documentation, and safe rollbacks).

• Advanced SQL skills and familiarity with analytics engineering patterns; ability to define KPI semantics, establish baselines, and deliver dashboards that quantify efficiency and pipeline impact.

• Practical experience with at least two of the following: Salesforce, HubSpot, Snowflake, Power BI in production GTM use cases (routing, lifecycle automation, attribution, forecasting/coverage, or pipeline inspection).

• Proven ability to translate ambiguous GTM objectives into clear build specifications and deliver iteratively (MVP → scale), balancing speed with reliability and stakeholder trust.

• Demonstrated success in collaborating cross-functionally (Sales, Marketing, Partners) to promote adoption and influence behavioral change—not just deliver tools.

• Working knowledge of GenAI/agent concepts with a focus on governance, QA, and measurability (avoiding “demo-ware”), including human-in-the-loop design and prompt/agent iteration.

• Keen interest in AI and a willingness to investigate AI-driven solutions to improve performance and drive efficiencies.

• Experience in implementing or operationalizing enrichment waterfalls / orchestration and CRM synchronization patterns.

• Familiarity with agent evaluation/testing methodologies and production monitoring patterns for AI features.

• Experience in partner data motions (PRM, co-sell workflows, partner pipeline reporting).

🏝️ Benefits

• Comprehensive health and wellness programs.

• Flexible working arrangements and remote work options.

• Opportunities for professional development and career growth.

• Engaging company culture with team-building activities.

• Competitive compensation and performance-based incentives.