Product Manager - Enterprise AI Dublin​/Prague

United Kingdom
- Remote

At Productboard, we're building the first agentic product management system. We're rethinking how product management is done in a world full of AI agents, and how we help our customers build what matters for their audience.

For Spark, our AI agent for product teams, to do real work inside an enterprise organization, it has to earn the right to operate there: what it's allowed to do, on whose behalf, with which model, at what cost, how anyone can tell afterwards, and how far it can go on its own. We're looking for a Staff Product Manager to own the Enterprise AI stack that answers those questions: a hands-on senior IC from an AI-first product company who sets the direction for it, drives the initiatives that cut across teams, and personally carries the hardest product problems at the edge of enterprise AI.

You'll own the enterprise AI harness around Spark: the layer that lets an enterprise put agents to work at scale and trust them with more over time
. Permissioning, audit, and limits so agents act within the organization's policies. Bring-your-own-model and model routing so every task runs on the right model at the right cost. Agentic automation so agents run on triggers and schedules across a product organization, not only when asked. And the control plane that lets a customer see every agent running, what it costs, how well it performs, and how far it's allowed to go on its own.

You'll spend real time with enterprise customers, translate what they need into product, and make sure they get value at scale with the governance they require. The rules for how agents operate inside a company are being written right now, and you'll write them into the product. Our customers are product organizations inside large companies. They need support in how agents are deployed across their organization, and someone to remove the obstacles along the way.

Own the Enterprise AI stack. Set the strategy, roadmap, and outcomes for permissioning, audit, limits, BYOM, model routing, and agentic automation, the layer every agent runs on and every enterprise customer depends on, and give the teams around you a clear view of where it's going and why.

Turn enterprise needs into product. Spend real time with enterprise customers, from CPOs and product operations to IT, security, and procurement. Understand what it takes to roll agents out to thousands of users, and turn it into capabilities that serve every customer rather than a custom build for one.

Drive key initiatives across teams. Take on the problems bigger than any one squad: agents that respect a customer's permission model in every action, agents running unattended on schedules and triggers, agents delegating to other agents inside a customer's policies, and autonomy that expands as trust is earned. Frame them, align the org, ship, and measure whether it worked.

Shape how we measure success. Define the metrics that show governance is enabling value rather than blocking it: adoption depth across an organization, time from contract to agents doing real work, cost per outcome. Use them to close debates.

Prototype in code by default. When words aren't settling a debate, build the control or the routing policy with AI coding tools and put it in front of customers.

Raise the bar. Be the first user of Spark for your own work, give sales and customer success a crisp articulation of how Spark's agents are governed, and mentor other PMs through pairing and example.

8+ years in product management, all of it hands-on. A senior individual contributor on complex products, with meaningful time in enterprise B2B SaaS, and an AI product used inside large organizations that is visibly better because you owned it.

Expertise in the enterprise AI stack. You've shipped permissioning, audit, admin controls, usage and cost limits, model choice and routing, or agentic automation for an AI product in production. You understand how permissions flow from people to agents, what an auditable agent action looks like, and why rollouts stall at security review, and you have a view on how an enterprise should expand agent autonomy over time.

Enterprise customers are your home turf. You're highly skilled at user research, comfortable in the room with enterprise buyers and their security and IT teams, and you've taken a product through security reviews and multi-thousand-seat rollouts. You know how product…