Delivery Manager — Saas Cloud Application (r&d), Canada

Delivery Manager — Saa S Cloud Application (R&D)

Reports to: VP, Research & Development

Location: Remote-friendly (North America time zones)

Type: Full-time

Role Summary

We’re seeking a hands-on Technical Delivery Manager to drive the end-to-end delivery of a modern Saa S 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 Unity3 D builds, Heygen, Type Script/modern web stacks, and AWS architectures—and you champion pragmatic use of AI-assisted development to accelerate delivery while maintaining quality.

What You’ll Own (Key Outcomes) 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.

Responsibilities 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 (Type Script/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.
Risk & Stakeholder Management 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.

Qualifications 5+ years in Technical Project/Program Management delivering Saa S products in production. Working knowledge of modern Saa S pipelines/builds and Type Script -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. Excellent written and verbal communication; crisp executive updates; calm, decisive work practices.

Not Mandatory, But We Would be Strongly Influenced By…
Background in immersive/3 D applications or real-time systems.
AI assisted-coding success stories that can scale the team

Tools & Stack (examples)

Jira or Linear • Confluence/Notion • Git Hub/Git Lab • Feature flags • AWS (as above) • Unity3 D • Type Script/React/Node • Postgres/Dynamo DB • Signoz

Reporting & Rhythm Daily: Standup + concise written update to VP of R&D (progress, plan, risks, asks). Weekly: Sprint review/demo, metrics snapshot, risk register update. Release Management: Go/No-Go, runbook, rollout plan, incident/rollback procedures.

Success Metrics (first 90–180 days)
≥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.

Work Model & Benefits

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