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Director, Transformation Delivery & Excellence.
LinkedIn Recruiter Post
Leadership role to establish, lead, scale and mature Air Canada's internal delivery capability for major transformation programs.
About the role
- Technical Co-founder responsible for architecting and maintaining an AI staffing platform's reliability and performance. Overseeing technical unit economics and driving ownership mindset in a lean team environment.
Responsibilities
- Commitment as a Strategic Co-Founder: The successful candidate will operate as a dedicated partner focused on sustainable equity appreciation and long-term organizational value, rather than prioritizing immediate high-level compensation.
- Lead with Reliability over Novelty: Architect and maintain "Ava’s" voice and workflow systems with an obsessive focus on uptime and latency. You value a system that works every time over a "clever" demo that fails in the field.
- Architect the RaaS Delivery Layer: Design the internal infrastructure that enables our team to configure, monitor, and optimize AI performance behind the scenes, ensuring we scale the service without increasing engineering headcount.
- Own the Technical Unit Economics: Directly manage the trade-offs between AI quality and cost-per-call. You are responsible for ensuring the technical architecture remains highly profitable within our $499/month pricing model.
- Exercise High-Stakes Judgment: Navigate technical uncertainty with a steady hand. You are expected to say "this won't scale" or "this isn't ready" when necessary to protect the integrity of the product and the trust of our users.
- Drive a Deep Ownership Mindset: Take full accountability for the end-to-end technical lifecycle—from the first line of code to the final outcome of a live pilot—motivated by building a tool that lawyers depend on for their livelihood.
- Master Scope & Feasibility: Partner with the Founder to define the product roadmap, aggressively cutting features that threaten delivery or economics while doubling down on those that solve the lawyer’s "operational burden."
- Scale the Engineering Culture: Build and lead a lean, high-leverage technical team. You will set the standard for code quality, logging, and audit trails so that every AI outcome is explainable and reviewable.
- Strategic Technical Storytelling: Act as the technical face of LexStaffing during fundraising and due diligence, translating complex voice AI and telephony architecture into a compelling vision for investors and partners.
Requirements
- 6+ years of hands-on software engineering experience.
- Direct experience with voice systems, conversational AI, or real-time AI workflows.
- Experience deploying LLM-powered systems into production, not just prototypes.
- Capability to architect and implement the strategy for building and self-hosting custom models over time to meet legal/privacy needs.
- Strong understanding of:
- Reliability engineering
- Human-in-the-loop systems
- Edge-case management
- Experience building service-heavy or managed platforms, not just pure SaaS.
- Comfort working closely with business leadership and owning delivery outcomes.
- Good to have:
- Experience in legal tech, healthcare, or other trust-sensitive verticals.
- Experience running production systems with real-world users under time pressure.
- Prior founder or early-stage leadership experience.
Benefits
- A significant equity package: Participate in the upside of company growth as a co-founding member
- Opportunity to build, grow and develop a team as the company grows.
- Shape the culture and technical direction of a venture with your contributions.
- Collaborate with Talented Peers: Work with a passionate and experienced team of entrepreneurs dedicated to building something unique and transformative.
- Continuous Learning and Growth: Engage in professional development and constant learning opportunities, expanding your skills while tackling challenging, meaningful projects.
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