The Strategy & Execution Manager is responsible for operationalizing Services and Enablement strategy using AI. You will lead the optimization of programs, financial planning, and cross-functional initiatives to scale the business for continued hyper growth. This role is unique: you will bridge the gap between high-level executive strategy and technical execution, specifically by leveraging AI automation to streamline Services and Enablement delivery, improve margins, and automate complex internal workflows. The ideal candidate has not just worked with AI tools — they have built end-to-end AI-powered solutions using the modern AI and data stack and brings firsthand experience shipping production-grade systems.

Impact You Will Have

Drive Executive Decisions: Lead business case analysis to determine investments across countries, verticals, and cloud service providers for the Services and Enablement organization
Architect AI-Driven Operations: Own the end-to-end lifecycle of AI deployments (ideation to QA) designed to automate Services and Enablement workflows
Translate Strategy to Scale: Convert long-range planning into measurable KPIs, building automated dashboards that provide real-time visibility into organizational health
Optimize GTM & Delivery: Develop actionable frameworks to align GTM teams, ensuring Services and Enablement offerings are positioned effectively against competitors and integrated into the broader product roadmap
Build, Not Just Advise: Design and personally ship AI agents, pipelines, and internal tools — you will be expected to own the full solution lifecycle, not just define requirements

Key Responsibilities

Strategic Planning & Execution — Support Long Range Planning, OKRs, and identifying risks in planning assumptions for the Services and Enablement organization




AI & Process Automation — Identify inefficiencies within the Services and Enablement lifecycle and build AI agents to address them. You will be hands-on in the build — from prompt engineering and RAG pipelines to agent orchestration and evaluation frameworks
Modern Data Stack Ownership — Architect and maintain the data infrastructure underlying operational dashboards and AI systems, using tools Databricks native stack
Cross-Functional Leadership & Enablement — Act as the connective tissue between Senior Sales, Services, and Enablement Leadership and technical teams

What We Look For

Experience: 7+ years in Strategy, Operations, or Product Leadership, with at least 3 years of hands-on experience building AI-powered solutions or data products in production environments
AI Builder (Required): Demonstrated track record of designing and shipping end-to-end AI solutions. Experience with Foundation Model APIs is strongly preferred
Contemporary Data Stack Proficiency (Required): Fluency across the modern data stack — including Databricks, Spark, Delta Lake, and cloud data warehouses. Ability to write production-quality SQL and Python
Strategic Mindset: Proven ability to interpret complex data sets (e.g., cloud infrastructure costs, market sizing) to derive actionable investment insights
Technical Depth Meets Business Acumen: Comfortable owning a Jupyter notebook and a board-level presentation in the same week
Communication: Ability to present complex AI and data concepts to executive stakeholders in a clear, concise fashion
Proactive Problem-Solving: You don't wait for a tool to exist — you build it
Adaptability & Curiosity: Genuine enthusiasm for staying current with the rapidly evolving AI landscape

Pay: $71,603.35-$151,159.48 per year

Work Location: Remote

📌 Strategy & Execution Manager (Canada)
🏢 Tudip Technologies
📍 Canada