Forward Deployed Product Manager

Overview

Embed inside a small, senior Forward Deployed Experience pod alongside a client to learn their real workflow and redesign how AI shows up in their business, leading product work from concept to production.

What you'll do

• Embed inside a Forward Deployed Experience Pod, working shoulder-to-shoulder with the client to learn the real workflow before redesigning it.
• Own the workflow, KPIs, and alignment for your pod; define success metrics with the executive sponsor at week one and measure outcomes against KPIs, not features shipped.
• Redesign the human experience around AI.
• Break a complex business problem into composable, shippable work the pod can ship in days, not quarters.
• Work in the client's stack alongside the Forward Deployed Engineer and Forward Deployed Experience Designer in your pod.
• Pair with Valtech leadership and the client's executive sponsor(s) to clear the path in real time, including legal, compliance, architecture, risk, governance, and internal politics.
• Govern, secure, and measure outcomes from day one, including evals, guardrails, and human-in-the-loop design, and own the framework that proves the solution works after the pod rolls off.
• Transfer ownership cleanly so the domain expert can run the solution long-term, including documentation, conventions, and team rituals.
• Surface the next opportunity from inside the work and bring that signal back to the pod.
• Contribute to the evolution of Valtech's FDE practice by sharing what works, what didn't, and patterns to harden across clients.

What you'll need

• Demonstrable experience as a Forward Deployed Product Manager in a digital consultancy, product organization, or embedded-team environment, with a track record of shipping production software, not just running discovery.
• T-shaped skill profile: product is your deep specialty, with enough hands-on experience in engineering and UX design to be a contributor in these spaces, not just conversant; can read and reason about code, prototype an interaction in Figma, and hold technical and design trade-off conversations.
• Proven experience taking AI or ML solutions from concept into production, not just pilot, including navigating the people, process, and governance problems that cause pilots to stall.
• Hands-on fluency with modern AI tooling across the SDLC, including AI-assisted requirements and synthesis, prototyping with tools like Figma Make or Claude, AI-accelerated development pairing with engineers, agent evaluation frameworks, and judgment on what is production-ready.
• Strong executive presence paired with hands-on credibility, effective in a working session with two engineers and in an executive sponsor review; earns trust quickly inside client teams and operates as a partner, not a vendor.
• Proven ability to break ambiguous business problems into composable, shippable units of work and sequence them for daily progress, with comfort under pressure to demonstrate value continuously.
• Solid commercial awareness and comfort with milestone-based engagements where the pod is accountable to deliverables, not hours.
• Experience in modern delivery environments, with the ability to adapt the operating model to the engagement rather than apply a framework rigidly, including when there is no backlog, no rituals, and no playbook yet.
• A track record of leaving teams stronger than you found them, including coaching a domain expert into ownership.

Nice to have

• Built for ambiguity, heading into the unknown without waiting for a brief, backlog, or permission.
• T-shaped by instinct: actively picks up skills around your specialty, such as building a working prototype, writing a SQL query, and running a usability test in the same week.
• A polyglot communicator who can hold architecture, interaction, workflow, and outcome conversations, often in the same morning.
• Deeply curious about AI as a craft, with informed opinions on where AI is genuinely useful and where it is not.
• Outcome-obsessed, measuring work by what changed for the user and the business rather than by what shipped.
• Boundless initiative and a bias toward action, balanced with the judgment to stop, learn, and align before building more.

Details

• Full-time position based in Montreal/Toronto.
• Salary range of 100,000 - 135,000 CAD annually, depending on experience and location.
• Flexible scheduling throughout the year, provided weekly hours are completed; company closes during winter holidays.
• Benefits are effective after three months of continuous service and include a comprehensive insurance plan, virtual healthcare, a $500 personal spending account, a retirement plan with RRSP matching, flexible vacation, and a $30/month personal technology reimbursement.