Jobs in Saint John, Canada

Delivery Manager — SaaS Cloud Application (R&D). Reports to: VP, Research & Development. Type: Full-time.

We’re seeking a hands-on Technical Delivery Manager to drive the end-to-end delivery of a modern SaaS cloud application. You will translate the product roadmap into actionable plans for engineering, run the day-to-day execution (Scrum / Kanban), remove blockers quickly, and ship high-quality releases on schedule. You’re comfortable discussing technologies like Unity3D builds, Heygen, TypeScript / modern web stacks, and AWS architectures—and you champion pragmatic use of AI-assisted development to accelerate delivery while maintaining quality.

• On-time, high-quality releases: Hit committed release dates with clear exit / entry criteria and a controlled rollout plan.
• Roadmap → reality: Decompose roadmap items into epics, user stories, tasks, and acceptance criteria with crisp definitions of done.
• Flow efficiency: Identify and eliminate waste (handoffs, queues, rework) to improve lead time and predictability.
• Signal-rich reporting: Provide the VP of R&D with concise daily status (plan, progress, risks, decisions needed) and weekly rollups.
• AI-enabled productivity: Increase team velocity by responsibly adopting AI tools while safeguarding security and code quality.

• Delivery Leadership
• Own the delivery plan: scope, milestones, dependencies, and critical path across backend, web, and overall delivery.
• Run daily Scrum, sprint planning, reviews, and retros. Keep teams unblocked and laser-focused on priorities.
• Maintain a healthy, prioritized backlog; ensure stories have clear acceptance criteria and testability.
• Track and drive against KPIs (lead time, cycle time, throughput, sprint predictability, escape rate, deployment frequency).
• Technical Program Execution
• Collaborate with Tech Leads to break work into epics / stories / tasks aligned to architecture and performance goals.
• Coordinate build and release schedule and web app deployments (TypeScript / React / Node or similar) across environments.
• Quality & Release Management
• Manage external QA resources; define test strategy, coverage goals, and entry / exit criteria per release.
• Work with contract and / or AI-based quality measures.
• Orchestrate regression, performance, and security testing; ensure defects are triaged with clear SLAs.
• Own release notes, change approval, and production readiness checklists.
• AI-Assisted Development Enablement
• Promote responsible use of AI coding tools (e.g., cursor.ai) to speed delivery.
• Track impact on velocity and quality; iterate practices based on evidence.
• Proactively surface risks, blockers, and decisions; drive mitigations with owners and dates.
• Liaise with the VP of R&D via daily concise reports and structured weekly updates; escalate early and with options.
• Align engineering, product, design, and QA around scope, tradeoffs, and timelines.
• Process Improvement
• Apply Lean principles to remove waste and reduce WIP; keep teams focused on the smallest shippable value.
• Evolve team health rituals; ensure clarity of roles, ownership, and working agreements.

• 5+ years in Technical Project / Program Management delivering SaaS products in production.
• Working knowledge of modern SaaS pipelines / builds and TypeScript -based modern web development (e.g., React / Next.js, Node).
• Practical experience with AWS and microservices.
• Strong Agile execution (Scrum / Kanban), backlog management, story slicing, and acceptance criteria writing.
• Proven ability to translate roadmaps into epics / stories / tasks and drive cross-functional execution to deadlines.
• Comfortable reading code, discussing architectures, and facilitating technical trade-offs.
• Experience coordinating external QA vendors and managing multi-environment release schedules.
• Demonstrated adoption of AI-assisted development with measurable impact on velocity / quality.

• Background in immersive / 3D applications or real-time systems.
• AI assisted-coding success stories that can scale the team

• 90% sprint goal attainment with ≤10% scope churn mid-sprint.
• 20–30% improvement in lead time / cycle time via waste removal and AI enablement.
• Reduction in escaped defects and MTTR; stable deployment frequency.
• Predictable release cadence with zero critical-release surprises.

Remote-first with core hours overlapping North America. Occasional travel for planning / on-sites (≤10%). Competitive compensation and benefits commensurate with experience.