C$191K – C$265K/yr
Engineering Manager, Forward Deployed Engineering
Market pay estimate
CA$180,000–CA$221,950 / year for comparable Engineering Manager roles in Canada. Estimated from 31 similar postings (medium confidence) — not stated by the employer.
Role overview
Job description
Build, coach, and manage a high-performing FDE team, including hiring, performance, and embedding engineers in specific lines of business while keeping them aligned to core tech standards.
Define, scale, and maintain the FDE technical operating playbook — intake standards, routing rules, reusable delivery models, and engagement lifecycle — so work enters, ships, and leaves FDE by clear criteria.
Turn ambiguous organizational processes (intake routing, priority rubrics, and graduation gateways) into clear, repeatable frameworks that business sponsors actually use.
Align engineers, product owners, business sponsors, and executive partners around shared technical standards, priority, and delivery roadmaps — and resolve boundary conflicts so there is one intake path, not shadow requests.
Champion reusable assets, developer tooling (including ADK/SDK patterns and an internal assets marketplace), and best practices so teams stop reinventing the wheel and production work has a named owner and a maintenance path.
Set the technical bar for bottom-up AI optimization: agents and automation on validated enterprise frameworks (including Databricks, Gemini Enterprise, Claude, and Airtable).
Own end-to-end operational governance for FDE deliveries — security and compliance, Cost of AI telemetry, and lifecycle management from prototype through production graduation or retire.
Partner with divisional leaders and budget owners to translate operational pain points into technical requirements, educate business units on how to work with tech, and give leadership a clear view of FDE capacity, outcomes, and aggregate AI cost.
Define success metrics for the FDE engagement model and run the operating rhythm (intake SLA, reuse, outcomes) that keeps the team efficient as demand scales.
You have 7+ years of experience in software engineering, solution architecture, data engineering, or AI/ML delivery, including 2+ years managing engineers.
You have led teams in a Forward Deployed Engineering, technical consulting, or heavily matrixed environment where talent is embedded in the business and still held to a central technical bar.
You have defined, scaled, and maintained operational playbooks — intake standards, routing, and reusable delivery models — not just written a process doc.
You can transform ambiguous processes (intake routing, priority rubrics, graduation gateways) into clear, repeatable frameworks that stick across teams.
You have championed reusable assets, developer tooling (e.g. ADK/SDK patterns), and best practices that improve team-wide efficiency and long-term asset maintenance.
You have owned operational governance across the delivery lifecycle, including compliance, cost telemetry (Cost of AI), and the path from prototype to production graduation.
You have deep familiarity with modern LLM ecosystems, agentic workflows, and cloud data platforms (e.g. Databricks, Gemini, Claude, Cursor).
You can evaluate business requests with discernment — distinguishing agile, low-effort optimization wins (days/weeks) from intensive initiatives that belong on a product roadmap (months/years).
You have exceptional written and verbal communication skills, with the ability to simplify complex AI paradigms into tangible operational value for non-technical stakeholders.
You have experience measuring engineering ROI and managing vendor/licensing or infrastructure cost in a production environment.
Experience rolling out an intake + routing model in a matrixed enterprise (what the team takes vs. routes to product, platform, or decline), with a visible backlog and an SLA on triage.
Hands-on delivery of agents, automation, or internal platforms on Databricks, Gemini Enterprise, Claude, Airtable, and/or Cursor.
Experience standing up a reuse path (starter kits, ADK/SDK, asset marketplace) and a written production-ownership / graduate-or-retire standard.
Music, media, or entertainment industry experience, or prior work supporting functions such as Finance, HR, or creative/label operations.
Comfort operating as a player-coach: close enough to the technical work to set standards, without needing to be the strongest coder on the team.
About this listing
- Source: Warner Music Inc.'s official careers site (via Lever) · last confirmed on the source 27 Oct 2026
- Posted 21 Sept 2026
Jobiba does not charge job seekers. Never pay to apply or share OTPs, card or bank details.
Role market pulse
How Engineering Manager demand looks in Canada
Live jobs
70
Posted 30d
19
30d movement
-29.6%
Remote share
27.1%
Salary listed
62.9%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
About you: You have 7+ years of experience in software engineering, solution architecture, data engineering, or AI/ML delivery, including 2+ years managing engineers; You have deep familiarity with modern LLM ecosystems, agentic workflows, and cloud data platforms (e.g; Experience standing up a reuse path (starter kits, ADK/SDK, asset marketplace) and a written production-ownership / graduate-or-retire standard
Department · Engineering
Hiring company
Warner Music Inc.
WMG is a global music entertainment company across recorded music, music publishing, and artist services.
Related opportunities
Similar active roles
Relevant, currently active roles for this market.
C$100K – C$125K/yr
C$116K – C$145K/yr
C$97.8K – C$115K/yr
C$137K – C$205K/yr
🔔 Get job alerts
New Engineering Manager jobs in Ontario, British Columbia, Canada, straight to your inbox.
No spam · Unsubscribe anytime