Forward Deployed Product Manager

About this role

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.

We are proud of:

• The work we do and the innovation we drive

• Our values of share, care and dare

• A workplace culture that fosters creativity, diversity and autonomy

• Our borderless, global framework, which enables seamless collaboration

Join more than 6,000+ curious and diverse minds in connecting people, data, and technology to produce amazing experiences for some of the world's most influential companies. We explore the possibilities of sustainable digital technology by helping clients to rapidly innovate, modernize their systems, enable their teams, and optimize for continued growth.

The Opportunity in a Nutshell

As a Forward Deployed Product Manager at Valtech you embed inside a small, senior FDE pod and lead the redesign of how AI shows up in your client's business. You don't hand over strategy decks or shepherd long backlogs. You sit alongside your client, learn the real workflow, and build the experience that turns AI investment into outcomes that stick.

You're a T-shaped product leader: deep in product craft, dangerous in engineering and UX. You can read a system architecture and challenge a technical trade-off. You can sit with a designer and shape an interaction. You move fluidly between business outcomes, working code, and human experience. You're built for ambiguity, comfortable being wrong fast, and energized by the shortest possible path between a real problem and a working solution.

What You Can Expect

• Embed inside a Forward Deployed Experience Pod, working shoulder-to-shoulder with the client to learn the real workflow before you redesign it.

• Own the workflow, KPIs, and alignment for your pod. Define success metrics with the executive sponsor at week one, then build until you hit them. Measure outcomes against KPIs, not features shipped.

• Redesign the human experience around AI, not the other way around.

• Break a complex business problem into composable, shippable work the pod can ship in days, not quarters. Production progress every day.

• Work in your client's stack alongside the Forward Deployed Engineer and Forward Deployed Experience Designer in your pod.

• Pair with the Valtech leadership and your client's executive sponsor(s) to clear the path in real time. Legal, compliance, architecture, risk, governance, internal politics.

• Govern, secure, and measure outcomes from day one. AI in production demands real attention to evals, guardrails, and human-in-the-loop design. You own the framework that proves the solution works and keeps working after the pod rolls off.

• Transfer ownership cleanly. By the end of the engagement, the domain expert is set up to run the solution long-term without the pod. Documentation, conventions, and the team rituals that sustain the change are part of what you ship.

• Surface the next opportunity from inside the work. Embedded pods see what's broken next before anyone else does. You bring that signal back, so the pod earns its way into the next problem rather than waiting for procurement.

• Contribute to the evolution of Valtech's FDE practice. Every pod is a learning loop. Share what works, what didn't, and the patterns that should harden into how we deploy across clients.

Must-Have Qualifications

• Demonstrable experience as a senior 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, but you have enough hands-on experience in engineering and UX design to be a contributor in these spaces, not just conversant. You can read and reason about code, prototype an interaction in Figma, and hold your own in technical and design trade-off conversations.

• Proven experience taking AI or ML solutions from concept into production, not just pilot. You understand why most AI pilots never reach production, and you have direct experience navigating the people, process, and governance problems that cause it.

• Hands-on fluency with modern AI tooling across the SDLC: AI-assisted requirements and synthesis, prototyping with tools like Figma Make or Claude, AI-accelerated development pairing with engineers, agent evaluation frameworks, and the practical judgment to know what's production-ready and what isn't.

• Strong executive presence paired with hands-on credibility. Equally effective in a working session with two engineers and an executive sponsor review. You earn trust quickly inside client teams and operate 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. Comfort pressure to demonstrate value continuously, not at the end of a long cycle.

• Solid commercial awareness. Comfortable 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. Equally comfortable when there is no backlog, no rituals, and no playbook yet.

• A track record of leaving teams stronger than you found them. The FDE model is built on capability transfer, so the ability to coach a domain expert into ownership is part of the job, not a bonus.

The Type of Person We'd Love to Meet

• Built for ambiguity. You head into the unknown without waiting for a brief, a backlog, or permission. The first week of a new engagement, where nothing is defined yet, is the part of the job you're most excited about.

• T-shaped by instinct, not just resume. You actively pick up the skills around your specialty because being narrow slows the team down

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