VP of Engineering

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 compliantly 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 you'll be in the room for the hard technical calls. You'll design the future of the engineering org, and you'll 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. We care more about demonstrated capability leading through scale than raw tenure.
Deep technical and architectural ability. You're comfortable leading architecture reviews, challenging technical assumptions, and coaching a team in a cloud-native, regulated environment. We're an Azure shop, so comfort operating in and around the Azure ecosystem matters; you don't need to be the deepest expert in every service.
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. You know the difference between the process that makes a startup faster and the process that makes it slower.
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. Startup urgency. You proactively drive the AI-first change rather than waiting for permission, and you ship despite ambiguity.

Humble. Player-coach. You coach and unblock without taking over, credit the team, invite dissent, and are comfortable saying “I don't know yet.”

Care. You invest in the engineers you lead, and you protect security, privacy, and customer trust in every decision.

Why Marble

Real mission, real impact. The systems you build move sensitive records that matter to patients, lawyers, insurers, and providers every day.
A mandate to set direction. You'll define how engineering operates here, not inherit an org chart someone else built.
AI-first, seriously. We are committing to AI as an operating model, not a productivity gimmick. You'll help shape that commitment.
A seat at the table. You'll report to the CEO and sit on the Senior Leadership Team, with direct influence on business strategy.
A high-caliber team. Small enough that your decisions matter, strong enough that you'll be working with great people from day one.
Executive compensation, meaningful equity, comprehensive benefits, and the flexibility of a modern remote-friendly team.