Product Manager

As a Product Manager, you'll bring your product expertise into a new way of working. You won't just write specs and manage roadmaps; you'll define missions, validate outcomes with data, and use AI to accelerate discovery, analysis, and delivery. You'll work in a small, mission-driven cross-functional team called a pod with three functions (Product, Engineer, and Quality), with high agency, shared ownership, and no hand-offs. Reporting to the product leader, you'll join the product and technology team.

Responsibilities:

• Define and own the pod's mission, the business outcome, the target customer, and the success metrics.
• Validate ideas with data and customer insight before committing the pod to build.
• Use AI agents for discovery, competitive analysis, spec writing, and backlog health.
• Write specs that both humans and AI can parse with clear acceptance criteria and clear "why. "
• Operate in continuous flow (Kanban), prioritize ruthlessly, respect WIP limits, and ship daily.
• Map dependencies and integration points across teams. Unblock the pod before it gets blocked.
• Get your hands dirty: prototype, script, or contribute code with AI assistance when it moves the mission faster.
• Understand the engineering decisions behind the product architecture trade-offs, system constraints, and deployment impact.
• Track mission KPIs in production and use outcomes to steer what comes next.
• Collaborate across pods, stakeholders, and commercial partners spanning multiple geographies.

Requirements:

• AI Fluency: AI is the primary way we engineer. You prompt, evaluate, and iterate. Manual coding is a deliberate choice, not the default.
• Cross-Functional Versatility: "That's not my area" doesn't exist. You contribute beyond your discipline, share openly, and communicate clearly across formats.
• Customer and Value Awareness: Ask "why" and "for whom" before "how. " Zoom out to see the business, and zoom in to trace the bug. Map dependencies before you build.
• Craft pride in the quality of what you create, specs, prototypes, or code, with AI assistance. Clear structure, attention to detail, and a bar that applies to every artifact you ship.
• Technical Curiosity: Build a prototype and break it before reading the docs. Stay curious about how things work.
• Agency and Entrepreneurship: Don't wait for permission. Own outcomes end-to-end, make others successful, and challenge the status quo.

Must Have:

• Experienced product manager with a track record of delivering excellent digital experiences.
• Strong product strategy, discovery, and prioritization skills (RICE, impact mapping, or equivalent).
• Ability to write clear specs and acceptance criteria that engineering and AI agents can act on.
• Data-driven decision-making; comfortable with KPIs, A/B testing, analytics, and customer research.
• Proficiency with AI-assisted workflows using AI for discovery, competitive analysis, spec writing, and validation.
• Experience managing dependencies and stakeholders across international, cross-functional teams.
• Excellent communication skills, written, verbal, and in presentations, with the ability to adjust for the audience.
• Experience with Jira, Confluence, and product lifecycle tooling.
• Ability to mentor other product managers, onboard new PMs, and support the growth of peers through coaching and knowledge-sharing.

Nice to Have:

• Ability to write or modify code with AI assistance for prototyping, scripting, or contributing small changes directly.
• Engineering degree or technical background able to engage confidently in architecture and system design discussions.
• Experience with agent systems, AI evaluation, or building AI-augmented product workflows.
• Background in industries with strict regulatory requirements (gaming, financial services, healthcare).
• Experience creating wireframes, prototypes, or working directly with design systems.