Delivery Lead in Vancouver

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.

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: 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.
• Workflow redesign: You map how work actually flows across people and systems and redesign it.
• Documentation and breakdown: You own how work is specified.
• Planning and visibility: You plan for AI-speed delivery.
• Team transformation: You change how client teams document, break down, plan, and report work.
• Quality and governance: You define ready and done, what 'good' means for AI outputs in business terms.
• Outcomes and value: You agree the business outcome up front, measure it, and report against it.
• Engagement and account: You own scope, risk, dependencies, resourcing, margin, and delivery health.
• Delivery library: You grow the team's shared library of delivery skills, agents, templates, and playbooks.

How you work:

• Start from golden paths: Begin every engagement from the team's existing skills and playbooks.
• Contribute back continuously: A better story format, a sharper estimation heuristic, etc.
• Instrument delivery itself: Treat delivery as a system you can measure.
• Protect machine-maintenance time: A meaningful slice of every cycle goes to hardening skills.
• Commit to the AI-native way: AI is the default operating model for delivery here.

What you bring:

• Significant experience leading software, data/AI engagements from ambiguity into production.
• Real experience building and running agent workflows for your own delivery work.
• Strong, opinionated craft in requirements, story writing, and backlog design.
• Business analysis, process mapping, and workflow redesign.
• Working fluency with modern software delivery: Git, code review, Jira or Linear, CI/CD.
• A track record of changing how teams work, with adoption that stuck.
• Client leadership from delivery teams to executives.
• Depth in a relevant domain, such as data and analytics or AI-native software delivery, is a strong plus.

How you operate:

• Ownership: You own the engagement outcome end to end.
• Comfort with ambiguity: You take a vague brief and produce a clear path.
• Bias to ship: You get a first vertical slice into the real environment early.
• Product sense: You care whether the system actually solves the problem.
• Judgment over dogma: You apply the right amount of structure.
• One team: You work with the TL as one team.
• Grow the people around you: Client teams and Fastloop colleagues develop stronger judgment.
• Compounding instinct: You naturally turn repeated delivery work into better skills.

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.
• Specs, plans, and status come from the machine.
• Stakeholders trust your judgment.

What this is not:

• A project administration seat where you chase updates.
• A role where success ends with a roadmap or a signed SOW.
• A traditional delivery manager role.

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.