Teragonia is the AI Operating System for Private Equity, helping sponsors and their portfolio companies turn fragmented operational data into decisions that move EBITDA. We operate in the highest-pressure segment of enterprise performance, where outcomes are time-bound by a 3 to 5 year hold period and execution velocity defines returns. Through Astradis, our AI platform, we unify structured and unstructured data, generate prescriptive insights in near real time, and embed them directly into operating workflows with clear ownership and measurable impact. We partner with PE firms managing more than US$400B in assets and are rapidly expanding globally. Across PE portfolio companies, we drive 3% to 5% EBITDA uplift, accelerate roll-ups through standardized data and KPI frameworks, and maintain continuous exit readiness with high-fidelity performance instrumentation. We are replacing episodic consulting with a compounding AI platform that scales expertise across companies, industries, and ownership cycles. Teragonia is built for high-agency builders who want early responsibility, direct exposure to the world's leading private equity firms and their portfolio CXOs, and the opportunity to help define the operating layer for value creation in the AI era. Teragonia offers a comprehensive career development platform through cross-learning within our multidisciplinary structure. Our competitive compensation package aligns with the technology industry leaders, encompassing 401k contribution matching, medical insurance, and additional benefits. Read more about our mission, vision, and values on our website: Value Orchestration Engineering (VOE) Department Overview Teragonia's Value Orchestration Engineering (VOE) division bridges finance, consulting, and technology to support portfolio companies.



We combine consulting rigor and AI to address complex challenges and enhance enterprise value through platform solutions and advisory. The Astradis platform provides real-time intelligence through a function-specific command center, combining structured and unstructured data via our Fibron AI layer. You will lead delivery teams consisting of a combination of engagement managers, associates, analysts, and AI Operating System (AIOS) engineering team members, serve as the primary point of ownership for getting work done across the firm and with the client, and co-create recent opportunities alongside the client executives you serve. Working closely with the Managing Director, who leads the most senior external commercial relationship, you will translate client priorities into outcomes, mobilize the internal team to deliver, and build the trust that expands each account over time. We are looking for candidates who think about the health of the overall client business, not only the engagement in front of them: someone who can prioritize across competing demands, communicate a clear point of view to senior clients, develop the people around them, and understand how delivery, client satisfaction, and commercial growth connect. Technical fluency matters, but for this role we weight client leadership, people leadership, and business judgment above hands‑on technical execution.



We are particularly interested in candidates who operate with integrity, intellectual humility, and a long-term career commitment. Own client relationships, serving as the trusted point of ownership clients rely on for delivery and outcomes Partner with the Managing Director on account strategy, taking the lead on execution, internal mobilization, and identifying new growth opportunities within existing accounts, while the MD owns the most senior external commercial relationship. Lead executive-level presentations, read-outs, and strategic conversations with C-suite clients, communicating a clear and credible point of view Master Service Agreement, Sales Order, and Change Order documentation, with the ability to draft comprehensive scopes of work and management engagement risk Lead and develop teams of Engagement Managers, Associates, and Analysts, delegating effectively and coaching team members. Think and act like a future business unit leader, understanding how delivery, client outcomes, and commercial growth connect across the business Work with senior leadership to shape account targets and growth strategies Develop case studies with the business development group and represent the firm at relevant networking and industry events Cross‑Functional Collaboration and Technical Fluency Guide teams on approach and quality, drawing on enough technical fluency to make sound decisions and ask the right questions, while relying on specialists for hands‑on execution Collaborate with data engineers, software engineers, data scientists, and AI engineers to deliver integrated solutions Master's degree in Business Analytics, Business Administration, Accounting, Finance, or a related field, or equivalent professional experience ~Demonstrated

📌 Analytics Engineering (Canada)
🏢 Teragonia
📍 Canada