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Added 3 mins ago
AI Operations Analyst
LifeSavvy Media
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
Valnet is looking for an AI Operations Analyst to join our team and help build the next generation of our lead generation operation.
Added 3 mins ago
Project Engineering Director
Worley
Markham, ON
Full-time
Lead Engineering for One of Canada's Most Significant Nuclear Projects
Added 3 mins ago
Sr Principal Field Advisor - AI & WF Transformation
UKG
Remote, Canada
Full-time · Remote
Lead executive discovery, AI strategy discussions, and value-based customer engagements.
Added 18 mins ago
Manager - Health and Safety Risk and Assurance
Kinross Gold Corporation
Toronto, ON
Full-time
…opportunity and critical risks are mitigated through sound engineering…
Added 18 mins ago
Co-Founder & CEO - AI Content Intelligence for Professional Services
FutureSight
Canada
Full-time
FutureSight is seeking a Co-Founder & CEO to lead an AI-native content intelligence and publishing venture. This is a co-founder partnership with meaningful founder equity, not a salaried…
Added 18 mins ago
Co-Founder & CEO - AI E-commerce Operations System
FutureSight
Canada
Full-time
FutureSight is seeking a Co-Founder & CEO to lead Omnex, an AI-native operating system for multi-channel ecommerce sellers, currently in build at our studio. This is a co-founder…
Added 18 mins ago
Co-Founder & CEO - AI Accounting Agents for CPA Firms
FutureSight
Canada
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FutureSight is seeking a Co-Founder & CEO to lead Crossfoot, an AI-native accounting agent platform. This is a co-founder partnership with meaningful founder equity, not a salaried…
Added 18 mins ago
Co-Founder & CEO - AI Communication Agents for Freight & Logistics
FutureSight
Canada
Full-time
FutureSight is seeking a Co-Founder & CEO to lead HawkAI, an enterprise AI venture for US logistics brokerages, carriers, and warehouse operators. This is a co-founder partnership with…
Added 18 mins ago
Principal Front-Office Trading Integration Engineer - Vice President - Java, Talend, Kafka, ETL - Charles River Development -
State Street
Toronto, ON
Full-time
 Oversee the day-today operations of client engagements and lead projects to completion within scope and SOW.
Added 18 mins ago
Global Account Manager
Sandvik
Sudbury, ON · Mississauga, ON
Full-time
The purpose of the Global Account Manager (GAM) role is to lead and coordinate Sandvik’s overall strategic relationship with our customer, one of the company’s Key global customers. The…
Added 32 mins ago
Project Quality Lead
SYSTRA Canada
Montreal, QC
Full-time
SYSTRA Canada is part of the SYSTRA group, an international consulting and engineering group, a world leader in the design of transport infrastructures. SYSTRA Canada is an engineering and…
Added 32 mins ago
Director, Mechanical Engineering
Photonic Inc.
Coquitlam, BC
$193,300 to $265,800 CAD / year
Full-time
Build and lead the mechanical engineering organization, setting technical direction, the hiring bar, levelling, and delivery objectives as the team grows.
Added 33 mins ago
Lead Software Developer (Fortify Cloud development)
Open Text Corporation
Ottawa, ON · Mississauga, ON · Richmond Hill, ON · Waterloo, ON
Other
Added 48 mins ago
Senior Manager, Maintenance
Coca-Cola Canada Bottling Limited
Brampton, ON
Full-time
This position provides strategic leadership for maintenance operations, reliability engineering, utilities management, maintenance planning, capital execution support, and continuous…
Added 48 mins ago
Senior Engineer Supervisor, Projects
Glencore
Elkford, BC
$140,000 to $165,000 CAD / year
Full-time
Reporting to the Manager, Commercial, the Senior Engineering Supervisor, Projects is accountable for safely delivering a portfolio of capital projects for Greenhills Operations on time and…
Added 48 mins ago
Technical Manager - Electrical Development
Nokia
Canada
Full-time
…evaluation boards, and ensuring signal and power integrity. You'll lead initiatives in finite element analysis (FEA) and thermal design, driving development of cutting-edge technologies.…
Added 1 hour ago
Senior Mining Engineer
Worley
Oakville, ON · Markham, ON
Full-time
Lead and/or deliver technical and engineering work on PEA, PFS, and FS technical studies.
Added 1 hour ago
Delivery Lead
Fastloop
Vancouver, BC
Full-time
You are a senior, AI-native delivery lead who owns engagement outcomes end to end: shaping the solution, defining and planning the work, leading the client, and making sure what we build is…
Added 1 hour ago
Lead, QA
Kinross Gold Corporation
Red Lake, ON
Full-time
The QA/QC Lead is responsible for the overall coordination of quality assurance and quality control activities for the Great Bear Project through detailed engineering, procurement,…
Added 1 hour ago
Advisor, Health & Safety
Kinross Gold Corporation
Red Lake, ON
Full-time
College Diploma or equivalent technical training in Occupational Health, Safety, Mining, Engineering Technology, or a related discipline. A combination of education, professional…
Added 1 hour ago
Product Designer
GamblingCareers.com
Toronto, ON
Full-time
…development process, partnering with Product Management and Engineering to solve customer problems in an agile…
Added 1 hour ago
Services Delivery Manager, ISG - Canada
Lenovo
Markham, ON
Full-time
…You will have the opportunity to influence customer strategy, lead executive-level engagements, and drive continuous service improvement across complex enterprise…
Added 1 hour ago
Automation Business Consultant (RPA+AI Projects)
Greenlight Consulting
Toronto, ON · Greater Toronto Area, Canada
$100,000 to $130,000 CAD / year
Full-time
…business value. We combine deep consulting expertise with hands-on engineering to bridge the gap between strategy and…
Added 1 hour ago
Manager, Design Engineering
Sentry
Toronto, ON · Greater Toronto Area, Canada
Full-time
Sentry is looking for a Manager, Design Engineering to lead the team behind Scraps, our design system. This role would manage a team of designers and front-end engineers that is building…
Added 2 hours ago
Senior Data Engineer
Quandri
Vancouver, BC
At least 4 to 6 years of professional data engineering experience.

Fastloop

Delivery Lead

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 1, 2026

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Original job description

The role in one sentence

You are a senior, AI-native delivery lead who owns engagement outcomes end to end: shaping the solution, defining and planning the work, leading the client, and making sure what we build is adopted and delivers measurable value.

Why this role exists

We're building a small, senior delivery team that delivers what much larger teams traditionally would, by using AI across the full surface of the work.

AI has made building faster. It hasn't made it any easier to know what to build, get the right decisions made, or get people to adopt what's been built. That's where engagements succeed or fail, and it's what this role owns: making sure the right thing gets built, it lands, and the client's team comes out the other side working differently.

You partner with a Technical Lead / AI-Forward Engineer, working as one team: you bring the problem, the outcome, the sequencing, and the adoption; the TL brings the architecture and the build; both of you own whether it works.

This is a senior individual contributor role: you lead engagement teams, not a reporting line. Teams are small (typically 2-4 people), you run one or two engagements at a time, and clients range across mid-market industries. Engagements run from weeks-long plan-and-define and POC work to multi-year managed services. Fastloop's own delivery is the first proving ground: we are becoming AI-native at the same time as the clients we serve.

What you'll own

Taste and judgment. Plausible plans, backlogs, and status reports are now cheap to produce. Knowing whether a story is ready, a plan is real, "on track" is true, and the work solves the problem is not. Your judgment on what's ready, done, and at risk is the bar.
Solution shaping. You lead discovery with the TL and shape the solution together: the problem worth solving, the outcome worth paying for, what comes first, and what the client can absorb. You challenge the ask when there's a better way, including when that way isn't AI.
Workflow redesign. You map how work actually flows across people and systems and redesign it: where agents act, where deterministic automation fits, and where a human decides.
Documentation and breakdown. You own how work is specified: requirements, stories, and acceptance criteria clear enough for an agent or engineer to execute without a meeting, sliced vertically, with testable definitions of done.
Planning and visibility. You plan for AI-speed delivery, where the constraints are review, validation, decision latency, and adoption rather than build time. Status comes from the source of truth, not a hand-built deck, and you re-plan from evidence.
Team transformation. You change how client teams document, break down, plan, and report work, connecting AI into their tracker, source control, and CI/CD, and growing adoption beyond the pilot team.
Quality and governance. You define ready and done, what "good" means for AI outputs in business terms, where humans must approve, and how sensitive data is handled.
Outcomes and value. You agree the business outcome up front (cost, cycle time, quality, throughput, adoption), measure it, and report against it.
Engagement and account. You own scope, risk, dependencies, resourcing, margin, and delivery health. You lead client conversations from working sessions to steering committees, grow accounts through the quality of delivery and a roadmap clients want to fund, and support pre-sales with discovery, estimates, and SOWs.
Delivery library. You grow the team's shared library of delivery skills, agents, templates, and playbooks, and with the engagement sponsor turn proven patterns into Fastloop offerings.

How you work: the compounding loop

This is how we expect the work above to get done. You don't do it by hand: you build and run the machine that does it, own the judgment on what comes out, and contribute back so it gets better. That's the difference between an orchestrator and an operator who uses AI.

Specs, breakdowns, plans, forecasts, and status are produced by skills and agents you build and run. Your time goes to the judgment calls, the client, and making the machine better. The engagement you land matters; so does what Fastloop and the client can do next time that they couldn't before.

Start from golden paths. Begin every engagement from the team's existing skills and playbooks (story development, scoping, status, discovery) and improve them. Rebuilding a template the team already has creates drag for everyone who comes after you.
Contribute back continuously. A better story format, a sharper estimation heuristic, a status agent that finally reads CI correctly: it goes back into the shared system quickly rather than staying trapped in one client's workspace.
Instrument delivery itself. Treat delivery as a system you can measure. Cycle time, decision latency, rework, forecast accuracy, and adoption are tracked, not guessed, so you can tell whether a change to how we work actually helped.
Protect machine-maintenance time. A meaningful slice of every cycle goes to hardening skills, refining playbooks, documenting decisions, and improving the delivery harness. That investment is what makes the next engagement start further ahead.
Commit to the AI-native way. AI is the default operating model for delivery here, not a side experiment running next to the old way. The toolset has a short half-life, so staying current with new model, agent, and harness capabilities is expected. So is the judgment to know when an agent, a deterministic automation, or a human conversation is the right tool.

If your instinct is to land the engagement in front of you and improve the system that lands the next one, you'll fit.

What you bring

Delivery: (required)

Significant experience leading software, data/ AI engagements from ambiguity into production, owning the outcome rather than a workstream.
Real experience building and running agent workflows for your own delivery work (Claude, Claude Code, Cursor, or equivalents), not just a chat window you paste into.
Hands-on enough to prototype a workflow, draft a skill, or inspect agent outputs and traces, and to know when a plan, story, or output is wrong.
Strong, opinionated craft in requirements, story writing, and backlog design.
Business analysis, process mapping, and workflow redesign, with working knowledge of enterprise systems (ERP, CRM, asset management, finance, etc) and modern data and analytics.
Working fluency with modern software delivery: Git, code review, Jira or Linear, CI/CD.
Enough understanding of agentic systems to plan and govern them: context engineering, MCP and tool integration, evals, human-in-the-loop design, permissions, and failure modes.
A track record of changing how teams work, with adoption that stuck.
Client leadership from delivery teams to executives, and commercial judgment across scope, estimates, SOWs, and engagement economics.
Depth in a relevant domain, such as data and analytics or AI-native software delivery, is a strong plus.

Google Cloud and Anthropic ecosystems

You can hold a credible solution conversation across both:

Google Cloud: BigQuery, Looker, Vertex AI and Gemini, Cloud Run, Pub/Sub, Cloud Composer.
Anthropic: Claude models, the Claude Developer Platform, and Claude Code, including enterprise deployment: permissions, security, governance, and evaluation.

Experience with Databricks, Snowflake, Azure, or AWS is valuable. A Google Cloud Professional certification or Claude Certified Architect credential is a plus.

How you operate

Ownership. You own the engagement outcome end to end, including dependencies, decisions, and constraints outside your immediate remit.
Comfort with ambiguity. You take a vague brief, find the underlying problem and the measurable outcome, and produce a clear path: priorities, owners, next steps.
Bias to ship. You get a first vertical slice into the real environment early and plan from reality rather than polishing a roadmap in isolation.
Product sense. You care whether the system actually solves the problem. You understand the people and workflows around it, and you build adoption in from the start.
Judgment over dogma. Scrum, SAFe, and Prosci are tools, not religions. You apply the right amount of structure, and you know the difference between automation that compounds and process that just adds ceremony.
One team. You work with the TL as one team, create clarity without becoming the bottleneck, and challenge the plan, the client, or your partners when the evidence says to.
Grow the people around you. Client teams and Fastloop colleagues develop stronger judgment and delivery craft from working with you.
Compounding instinct. You naturally turn repeated delivery work into better skills, sharper templates, clearer interfaces, and playbooks the rest of the team can build on.

You'll know you're succeeding when

Clients understand the outcome and why it matters, teams know what good looks like, decisions happen on time, and risks surface early.
Solutions reach production, are adopted, and hold a measurable improvement after we step back.
Specs, plans, and status come from the machine, and your time goes to judgment, the client, and improving it.
Client teams work differently, and the machine you installed keeps running without us.
Each engagement starts further ahead than the last because you contributed back to the library.
Stakeholders trust your judgment, including when you challenge the plan, and accounts grow because of the work.

What this is not

A project administration seat where you chase updates and assemble statuses by hand.
A role where success ends with a roadmap, a requirements document, or a signed SOW.
A role that operates at arm's length from the technology. You don't need to be the primary engineer, but you need to read the work.
A traditional delivery manager role. Your value isn't measured by how many ceremonies you run or reports you write. It's measured by whether the work lands, whether teams work better afterwards, and whether the next engagement starts further ahead.

We're looking for delivery leaders who can go broad without becoming shallow, use AI without outsourcing judgment, and leave every team they touch working better than they found it.

If that already sounds like how you work, you'll probably feel at home here.

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More about this job

Responsibilities

Lead client engagements end to end, from discovery and solution shaping through planning, delivery, adoption, and measurement of business outcomes. Manage client relationships, scope, risks, dependencies, and commercial health while improving AI-enabled delivery workflows, tools, and shared playbooks.

Requirements

Requires significant experience leading software, data, or AI engagements from ambiguity into production, along with hands-on experience building and running agent workflows and strong requirements, backlog, and workflow-design skills. Candidates should be fluent in modern software delivery and agentic systems, have a record of lasting team adoption, and demonstrate client leadership and commercial judgment; Google Cloud and Anthropic expertise is valued.

Skills

AI-Native Delivery
Engagement Leadership
Solution Shaping
Requirements and Story Writing
Backlog Design
Workflow Redesign
Business Analysis
Agent Workflow Development
Project Planning
Client Leadership
Scope and Risk Management
Change Management and Adoption
Quality and Governance
Commercial Judgment
Git and CI/CD
Google Cloud and Anthropic

Visa sponsorship

Not detected in the job text

Keywords

AI-Native Delivery
Agent Workflows
Claude
Claude Code
Cursor
Google Cloud
BigQuery
Looker
Vertex AI
Gemini
Cloud Run
Pub/Sub
Cloud Composer
Anthropic
Claude Developer Platform
MCP
Context Engineering
Human-in-the-Loop Design
Evals
Git
Code Review
Jira
Linear
CI/CD
ERP
CRM
Data and Analytics
Workflow Redesign
SOWs

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