About the Role
Maverix is building its Data & AI capability as a core part of how we create value, both internally and across our portfolio. This is a new role, reporting to the Managing Partners designed for someone who can operate at the intersection of PE and applied AI: part internal builder, part external advisor, full thought partner to founders and leadership teams navigating an AI-first world.
Think of this as the AI/Data equivalent of what our Growth function does today, embedded enough to understand the business, credible enough to challenge and guide, and practical enough to actually build things.
What You'll Do
- Build internal playbooks and frameworks for evaluating AI readiness and AI risk in target companies
- Serve as a trusted advisor to our Portfolio Company founders and leadership teams on their data and AI strategy, in a value creation advisory function
- Help portfolio companies identify where AI and data create the highest-leverage opportunities: operations, customer, product, or GTM
- Connect Portfolio Companies to the right tools, talent, and frameworks, not prescribing solutions but helping leadership ask better questions and build better capabilities
- Spot patterns across the portfolio and bring relevant insights, tools, or introductions from one company to another
- Build and own our AI-assisted deal workflow, from earlier company tracking through to diligence and portfolio monitoring, using and extending our existing stack
- Develop tools and processes that help the investment team move faster: smarter data room review, faster market mapping, better signal detection on companies earlier in their trajectory
- Act as an analytical resource for the deal team, filling gaps and raising the floor on what the team can do with data in our diligence and sourcing activities.
Who You Are
You've built and shipped real AI products in production environments. You're not a theorists or strategy deck authors. You've made decisions under uncertainty, scaled teams, and lived with the consequences.
More specifically:
- You have direct experience building or deploying AI/data solutions at a company, not just advising on them
- You can talk to a CEO about business outcomes and to an engineering team about architecture, without losing credibility in either room
- You're comfortable in ambiguity and early-stage organizational contexts, you build the map while navigating
- You have genuine intellectual curiosity about where AI is going and a point of view worth hearing
- Toronto-based
What We're Not Looking For
This is not a "AI strategy" consulting role. We're not hiring someone to produce frameworks and decks. We're hiring someone who has built things, understands the craft, and can help others do the same.
