• You’re one of two PMs reporting to the VP, Product Management. You own the platform behind the product — the AI services, Desktop Intercept, and Integrations that power every surface an agent or supervisor sees. • Your counterpart, PM – Workspace, owns the Agent UI, Control UI, and Active Listening UX on top of what you build. You partner constantly; you own different halves of the same product.

• Own one or more product areas end to end, from discovery through delivery and impact measurement • Drive deep customer discovery in procurement and sourcing workflows • Define and prioritize your roadmap • Partner with design and engineering from problem framing to release

• 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.

• Define and execute product strategy, roadmap, and delivery plans for the Canary platform. • Partner with Engineering and Design teams to bring intuitive, scalable, and reliable features to life. • Collaborate with stakeholders across Sales, Customer Success, and Marketing to ensure successful product launches and strong customer adoption. • Conduct in-depth customer research and product analysis to inform prioritization and uncover new opportunities. • Translate complex customer and business needs into clear product requirements and user stories. • Set clear goals and success metrics, and use data to drive continuous improvement and iteration. • Help mentor product managers and contribute to the broader product culture and processes.