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 existsWe'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 whetherit 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 ownTaste 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 "valuable" 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

📌 Delivery Lead (Vancouver)
🏢 Fastloop
📍 Vancouver