VP of Engineering in Toronto

Marble is the authorization layer for protected information. The world's most valuable data, from health records to insurance, identity, and legal information, can't be scraped, bought, or moved. It's regulated, it demands consent, and it stays locked behind portals, paper, and legacy systems. Marble is the infrastructure that lets businesses, institutions, and individuals securely access, permission, and use that data, turning trapped records into the compliant, structured information behind high-stakes decisions.

Today, our platform powers two products: Medchart, the medical record request and release platform built on patient consent, and Settlit, which gives US personal injury and mass-tort law firms fast, compliant access to the health and claims data their cases depend on. We started with health and legal, and we're building toward the same consent-driven network across every regulated industry. We're a Toronto-based team, growing fast and guided by three values: Hungry, Humble, and Care.

The Opportunity: This role exists to bring strategic, technical, and people leadership, and an AI-first operating model, to Marble's engineering organization, so the platform scales reliably and compliably across Medchart and SettLiT. We need a leader who owns technical strategy and architecture, instills the operating discipline that turns a growing team into a reliable delivery engine, invests in the engineers we already have, and, critically, leads the AI-first transformation that will define how we build for the next decade.

This is a player-coach executive role. You'll set direction and be in the room for the hard technical calls. You'll design the future of the engineering org, and spend real time coaching the engineers we already have. You'll report directly to the CEO and sit on the Senior Leadership Team, partnering closely with Product, Operations, Sales, and Data Partnerships.

What you'll own in your first year:

• Technical strategy & architecture: Set and socialize a clear technical strategy and architectural-ownership model spanning Medchart and SettLiT (~6 months).
• Delivery discipline: Install engineering operating rhythms: planning, estimation, code-review standards, release and incident management, so delivery becomes predictable (~6 months).
• AI-first operating model: Stand up the norms, guardrails, and playbooks that make AI a core part of how we build, ship, and operate, with measurable adoption and productivity impact (~9-12 months).
• Team design: Define the future engineering org structure and hiring plan; raise the technical bar and clarify career paths for senior and intermediate engineers (~9 months).
• Quality & compliance: Raise quality-assurance standards across development and data-source implementations, with disciplined release gates that reduce production surprises, and keep our regulated, consent-driven workflows audit-ready as customers, data volumes, and integrations grow.

What you bring:

• 10+ years of engineering experience, including significant time leading engineering teams, most likely as a VP, Director, or Head of Engineering.
• Deep technical and architectural ability. Comfortable leading architecture reviews, challenging technical assumptions, and coaching a team in a cloud-native, regulated environment.
• A track record of embedding AI into engineering, with a clear point of view on what 'AI-first engineering' actually means, beyond individual productivity tools.
• Structure without bureaucracy. Evidence you've brought discipline to a lean team without slowing it down.
• Executive-level cross-functional partnership and clear communication with technical, product, commercial, and executive audiences.

Bonus points:

• HealthTech, Health Data, LegalTech, InsurTech, FinTech, or another regulated-industry background.
• Familiarity with HIPAA, PHIPA, SOC 2, and consent/authorization frameworks; health data interoperability standards including FHIR, CCDA, claims, pharmacy, and EHR.
• Experience scaling engineering organizations through growth stages and leading distributed teams.
• Hands-on with Azure OpenAI, GitHub Copilot, and AI evaluation frameworks covering accuracy, reliability, explainability, and human review.
• API, data infrastructure, platform-product, or data-orchestration experience.

Where you'll work: Hybrid work, Greater Toronto Area preferred, with regular time at our downtown Toronto office.

How we work: Our three values shape how this role shows up: Hungry, Humble, Care.

Why Marble: Real mission, real impact. A mandate to set direction. AI-first, seriously. A seat at the table. A high-caliber team. Executive compensation, meaningful equity, comprehensive benefits, and the flexibility of a modern remote-friendly team.