Job descriptionPosition Summary League is seeking an AVP, Engineering to join the Apps & Solutions engineering organization—a leader who brings deep technical credibility, strong delivery instincts, and people leadership skills to build and sustain high‑performing teams. Reporting directly to the VP, Engineering (Apps & Solutions), this role connects technical execution and enterprise delivery: you own the architecture and quality of member‑facing applications, drive implementation excellence across squads, and serve as a trusted engineering partner to League’s most strategic clients.
This is not a platform role. You will build and lead teams that deliver directly to end members—consumer health experiences that are fast, reliable, personalized, and clinically meaningful. You bring hands‑on architectural judgment, a genuine bias for delivery, and the ability to represent engineering with conviction in executive and client‑facing settings.
AI fluency is a core expectation of this role, not a bonus. You lead by example; integrating AI into your own engineering workflow, driving adoption across teams, and building the culture and practices that make AI‑native delivery a daily operational reality.
In This Role You Will Team Scope
Direct reports: 3‑5 Engineering Managers.
Indirect reports: 25‑35 engineers across web, mobile, and integration squads.
Technical & Architectural Leadership
Own the technical direction for member‑facing applications—define and enforce architectural standards, patterns, and guardrails across squads; make trade‑off calls with speed, quality, and scalability in mind.
Drive architectural reviews and decisions—lead design reviews for major features and platform integrations; ensure technical choices align with League’s roadmap, client commitments, and long‑term platform health.
Maintain hands‑on technical credibility—engage directly with engineers on architecture, code quality, and system design; you don’t need to be in the code daily, but you must be credible when you are.
Implementation & Project Delivery
Own end‑to‑end delivery accountability for squads—from project scoping and estimation through to production release and post‑launch stability.
Drive delivery predictability—implement the planning, tracking, and escalation practices that give the VP and CDO clear, real‑time visibility into delivery health across your portfolio.
Build and maintain delivery metrics—track PR throughput, defect rates, test automation coverage, and incident resolution SLAs; use data to drive continuous improvement, not just reporting.
Client‑Facing Engineering Leadership
Serve as a senior engineering point of contact for strategic enterprise clients—represent engineering in client escalations, technical reviews, and delivery status conversations with credibility and presence that build lasting trust.
Translate complex technical realities into clear client communication—own the narrative on delivery timelines, architectural decisions, and quality trade‑offs in language that resonates with non‑technical executive stakeholders.
Member‑Facing Application Ownership
Lead engineering delivery for consumer health experiences—own the quality, performance, and reliability of member‑facing applications across web and mobile; understand what ‘good’ looks like from a member’s perspective.
Cross‑Functional Collaboration
Partner closely with Product Management and Design to translate roadmap commitments into realistic engineering plans; own the technical scoping and estimation that makes delivery promises credible.
Serve as the engineering point of contact within League’s CDO delivery governance model; surface risks early and resolve cross‑functional blockers before they become customer issues.
People Leadership & Team Development
Own performance management with rigor—set clear expectations for each EM, deliver candid feedback on a consistent cadence, and hold yourself accountable for developing the next tier of engineering leadership at League.
Lead the hiring process for your squads—partner with Talent on sourcing strategy, conduct calibrated interviews, and make hiring decisions that raise the bar.
Run structured calibration and career pathing—quarterly calibrations across your EM cohort; every engineer has a clear growth path and knows where they stand.
Build inclusive, high‑trust team culture—track engagement signals and act before attrition becomes a problem.
AI‑Native Engineering Leadership
Build practices that make AI‑native delivery real—micro‑sprint methodologies, AI‑informed delivery decisions, and AI‑assisted defect classification are things your teams actually do.
Maintain strong ownership and judgment over AI‑generated outputs—teams use AI confidently and responsibly; you set the standard for what that looks like in a regulated healthcare environment.
Stay ahead of AI tooling evolution—continuously evaluate new capabilities and bring the right ones to your teams with a clear point of view on adoption.
About You
12+ years of progressive software engineering experience, including 5+ years in leadership roles managing teams and engineering managers.
Proven track record owning end‑to‑end delivery of complex, enterprise‑grade SaaS products in a B2B or B2B2C environment.
Deep experience building and shipping member‑facing or consumer‑facing applications—understand this domain and have strong instincts for what quality looks like at scale.
Health tech or enterprise healthcare SaaS experience strongly preferred; experience in HIPAA, PIPEDA, or equivalent regulated data environments is an asset.
Strong architectural fluency in cloud‑native systems (GCP preferred), microservices, and full‑stack development (Go, React, mobile — Android and/or iOS).
Actively uses AI tools in engineering and leadership workflows.
Strong executive presence; communicate with confidence and clarity in client escalations, executive reviews, and cross‑functional forums.
Clear communicator who translates technical complexity into business language for non‑technical stakeholders.
Experience managing delivery partners, offshore QA or development teams, or hybrid internal/external engineering models.
Familiarity with HIPAA, PIPEDA, or equivalent regulated data environments; understanding of compliant engineering practices in a healthcare SaaS context.
Desired Outcomes
Delivery predictability: sprint commitments met at 85%+ with real‑time visibility into delivery health.
PR throughput per developer at or above industry p75; trajectory toward p90 within 12 months.
Defect rate below p75 benchmark; high/critical incident rate below 10/month; incident SLA attainment at 100%.
Test automation coverage at 80%+ within 6 months of hire.
AI‑assisted delivery decisions at 30%+ within 12 months.
Every EM has a current development plan; no unmanaged performance gaps older than 60 days.
Security‑Related Responsibilities
Compliance with Information Security Policies.
Compliance with League’s secure coding practice.
Ensure access management performed in compliance with employee role and responsibilities.
Responsibility and accountability for executing League’s policies and procedures within the department/team.
Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations.
AI Fluency & Ways of Working
Use AI tools as part of your daily workflow to enhance productivity, problem‑solving, and decision‑making (e.g., drafting, analysis, coding, research, or process automation).
Apply judgment and accountability when using AI by reviewing outputs for accuracy, bias, and quality before use.
Continuously learn and adapt as new AI tools and capabilities emerge, incorporating them into your ways of working.
Identify opportunities to improve how work gets done from personal productivity to team‑level workflows by leveraging AI effectively.
Operate with strong data responsibility and security awareness, especially when working with sensitive or regulated information.
How This Scales By Level
Individual Contributors: Use AI to improve personal productivity and quality of output.
Senior ICs / Managers: Integrate AI into team workflows and improve processes.
Leaders: Drive AI adoption at the organizational level and shape how work is done across teams.
What We Look For
Demonstrated experience using AI tools in a practical, responsible way.
Curiosity and openness to experimenting with new technologies.
Ability to balance efficiency with quality and sound judgment.
Compensation (Canada only) $210,200—$262,000 CAD.
Location We have a mix of office‑centric roles based in our vibrant Toronto office and remote‑eligible roles based anywhere in Canada or the US. Each job posting will indicate where the role will be based. Regardless of location, all Toronto‑area employees collaborate in‑office Monday through Thursday. Depending on distance to the office, you’ll enjoy 10 or 20 flexible remote days each quarter for focus and deep‑work time. We are committed to fostering a meaningful work environment and connections for all employees regardless of location.
Equal Employment Opportunity Statement We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.
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