Senior Product Manager

Ampliwork•Montreal, QC

About The Position

The Mission: You will be the single point of accountability for two to four client engagements at a time. A typical engagement involves scoping the problem with the client, diagnosing their actual needs, writing and pitching proposals, closing the next phase, and building the first working prototype yourself, often within the first week. You will run the project, owning the plan, timeline, milestones, risks, and status, ensuring clients and internal stakeholders are kept informed. You will bring in engineers when the project graduates from prototype to production, lead them, and stay accountable for delivery. You will run workshops, demos, and iteration sessions with the client, keeping the loop tight. The role involves design work, project management, and a meaningful amount of coding, prototyping enough for engineers to know exactly what to build. What you'll do: Be AI-native, thinking in AI rather than just using it. Utilize tools like Claude, Cursor, and modern agent frameworks for reasoning, building, writing, and problem-solving. Be the go-to person for AI expertise, sharing prompts, workflows, and shortcuts to raise the floor for colleagues. Be extremely organized, capable of managing multiple engagements simultaneously without anything slipping. Possess a strong bias for action, starting tasks without being told and prioritizing shipping rough versions quickly. Have high social energy and sharp judgment, getting energy from people, reading rooms quickly, and knowing when to push, listen, lighten the mood, or hold the line. Be an excellent communicator, both in writing and speaking, creating presentations that persuade. Be a creative problem solver, seeing multiple solutions to ambiguous problems and preferring to start from a blank page. Be able to sell by listening for real needs, framing solutions, and asking for the close, running scoping calls, workshops, and pitches. Be able to prototype working solutions within a week using modern AI tools, even if not yet a production-grade engineer. Be energized by the breadth of the role, wanting the whole arc of work, not just a slice.

Requirements

Former founder or startup builder
AI consultant
Solutions architect
Product leader
Technical enough to prototype
Comfortable speaking with CEOs and executives
Strong business intuition
Exceptional written and verbal communication
Obsessed with AI Agents
Thinks in systems instead of features

Nice To Haves

Direct experience shipping LLM-powered features in production
Design fluency (Figma, prototyping in code, taste for interfaces)
A side project, a GitHub presence, or a blog where you've thought out loud about something

Responsibilities

Be the single point of accountability for two to four client engagements at a time.
Scope the problem with the client in a working session and diagnose their actual needs.
Write proposals, pitch them, and close the next phase.
Build the first working prototype yourself, often within the first week.
Run the project, owning the plan, timeline, milestones, risks, and status.
Keep clients and internal stakeholders in the loop without anyone having to ask.
Bring in engineers when the project graduates from prototype to production and lead them.
Stay accountable for delivery.
Run workshops, demos, and iteration sessions with the client.
Hand off or maintain engagements depending on the shape.
Do design work, project management, and a meaningful amount of coding.
Prototype enough that engineers know exactly what to build.
Think in AI, using tools like Claude, Cursor, and modern agent frameworks.
Share prompts, workflows, and shortcuts to raise the floor for everyone around you.
Hold multiple engagements in your head at once and ensure nothing slips.
See what needs doing and start without being told.
Ship something rough today and refine it tomorrow.
Get fuel, not fatigue, from people.
Read a room quickly and know when to push, listen, lighten things up, or hold the line.
Build decks that move people from 'interesting' to 'yes'.
Take the craft of presentation seriously.
See two ways to solve a problem when most people see one.
Start from a blank page rather than a finished spec.
Make well-designed, not just functional, solutions.
Listen for the real need, frame a solution that fits, and ask for the close.
Run a scoping call, lead a workshop, and pitch a proposal that gets a yes.
Build working things inside a week using modern AI tools.
Want the whole arc of work, not a slice of it.