GTM AI Engineer

Vena Solutions

11h • Hybrid

About The Position

This is a flexible position with options for full-time work in our Toronto office, hybrid throughout the week, or entirely remotely within Canada. Vena's GTM engine is growing in complexity, and this role will lead the transformation of how Vena goes to market. The GTM AI Engineer will be responsible for designing, building, and operationalizing AI-enabled workflows (agents + automation + data) that convert signals into action, while ensuring governance, measurement, and adoption across GTM teams. The successful candidate will change the way our GTM operates through more impactful use of AI, increased efficiency across the GTM, and enhanced scalability across the entire selling journey. This is a high-leverage builder role situated at the intersection of Systems (Salesforce, HubSpot, enrichment/intent, engagement tools), Data/Analytics (Snowflake + Power BI, attribution/measurement), and AI enablement (agent prototypes to production workflows with guardrails).

Requirements

• 5+ years in RevOps / GTM Engineering / Sales Ops Engineering with deep exposure to CRM + MAP + data warehouse environments, and a track record of making GTM teams faster through better systems and automation.
• Strong hands-on ability to build automations/integrations (APIs, webhooks, iPaaS/automation tooling, or lightweight services) with production discipline (testing, monitoring, documentation, and safe rollbacks).
• Advanced SQL and comfort with analytics engineering patterns; ability to define KPI semantics, establish baselines, and ship dashboards that quantify efficiency and pipeline impact.
• Practical experience with at least 2 of: Salesforce, HubSpot, Snowflake, Power BI in production GTM use cases (routing, lifecycle automation, attribution, forecasting/coverage, or pipeline inspection).
• Demonstrated ability to translate ambiguous GTM goals into clear build specs and deliver iteratively (MVP scale), balancing speed with reliability and stakeholder trust.
• Proven record of partnering cross-functionally (Sales, Marketing, Partners) to drive adoption and change behavior—not just ship tooling.
• Working understanding of GenAI/agent concepts with a bias for governance, QA, and measurability (avoid “demo-ware”), including human-in-the-loop design and prompt/agent iteration.
• Interest in AI and willingness to explore AI-driven solutions to enhance performance and drive efficiencies

Nice To Haves

• Experience implementing or operationalizing enrichment waterfalls / orchestration and CRM sync patterns.
• Familiarity with agent evaluation/testing methodology and production monitoring patterns for AI features.
• Experience in partner data motions (PRM, co-sell workflows, partner pipeline reporting).

Responsibilities

• Drive greater efficiency and scalability though the design and implementation of workflows that connect GTM signals (intent, engagement, enrichment, lifecycle events) to outcomes and replace manual, inconsistent processes with standardized, measurable operating patterns.
• Build and maintain reliable integrations, automations, and data sync patterns across the GTM stack, improving data quality, reducing tool sprawl, and ensuring actions are triggered from trusted signals.
• Establish an AI/automation operating cadence for GTM: intake prioritization build QA release measure iterate, with clear owners, SLAs, and documentation to reduce ad hoc requests and rework.
• Instrumentation and monitoring for automations/agents (throughput, failure modes, fallbacks, and human-in-the-loop paths) so GTM teams can trust and adopt what’s shipped.
• Define and track success metrics for each workflow (time saved, speed-to-lead, conversion lift, pipeline impact, data quality), and partner with Analytics to make results visible in Power BI.
• Drive adoption through enablement: stakeholder training, playbooks, change management, and feedback loops that turn prototypes into repeatable, scalable workflows used day-to-day.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 11-50 employees