Principal Product Manager (London / Dublin / Prague)

Overview

In this Principal Product Manager role, you own the end-to-end opportunity behind Spark, an AI-first agentic product for product teams. You shape the roadmap for AI insights, define data and retrieval flows, and drive deployment of reliable, actionable outputs that help product leaders make decisions. You collaborate closely with the founders to tackle hard problems, translate signals into decisions, and elevate the overall user experience with interactive, artifact-like results. This role targets ambitious, enterprise-focused PMs who want to lead a category-defining AI product at scale.

Pay / Benefits

• Stock options
• MacBook + 34″ monitor
• Work from home stipend
• 5 weeks vacation + 9 sick days
• Flexible working hours
• Budget for courses, books, conferences

Responsibilities

• Understand customer needs and prioritize questions modern product organizations require
• Own the AI Insights roadmap: strategy, metrics, and prioritization of the questions Spark answers first
• Define data, context, and data flow for Spark to answer reliably, including data model, retrieval, and agent harness
• Design agent behavior and answer presentation (conversational, structured, visual, interactive) and drive the shift from simple text to rich artifacts
• Own quality and evals: define evaluation criteria for answers, insights, and artifacts; monitor releases for improvement
• Anticipate AI frontier developments and articulate capabilities/limits to GTM teams
• Prototype in code using AI tools to validate concepts with customers
• Mentor other PMs on AI product craft and drive end-to-end ownership of outcomes
• Collaborate with founders and cross-functional partners to align on product vision and execution

Key requirements

• 8+ years in product management, hands-on, enterprise B2B SaaS
• Extensive experience shipping AI/LLM-powered products in production
• Deep expertise in designing agentic AI products with planning, tool use, and multi-step actions
• Experience owning data and retrieval pipelines behind an AI product
• Experience building evaluation frameworks (offline/online) and using prompts and evals to drive decisions
• Strong design sensibility for output types (text, tables, charts, interactive artifacts)
• AI-first work style with familiarity with Claude Code, Cursor, and cutting-edge models
• Founder mentality with accountability and ability to make clear decisions in ambiguity

• customer-centric mindset
• strong design taste
• collaboration with cross-functional teams
• data modeling and retrieval pipelines
• LLM behavior, prompts, tool-use, latency, cost, non-determinism
• eval frameworks and telemetry

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