AI Lead

Description

Our client is seeking an AI lead to join their growing team in Sweden!

About the Organisation

Our clientis a Swedish technology company and leader in integrated payment and transaction solutions built to simplify and modernize how organisations handle payments, orders, and transactional workflows. With roots dating back to 1979 and headquartered in Gothenburg, our client develops secure, scalable systems that support a wide range of businesses — from hospitality and retail venues to public sector institutions such as municipalities, hospitals and educational campuses — helping them streamline operations, enhance customer experience, and improve operational efficiency. Its platform includes advanced POS systems, digital order and payment tools, self-service kiosks, QR-based ordering, loyalty features and rich data insights, all designed to integrate smoothly with existing infrastructure and adapt to evolving business needs. Our client’s solutions process millions of transactions annually across diverse environments, reinforcing its reputation for reliability, innovation and customer focus in mission-critical payment ecosystems.

Role Overview

The AI Lead is responsible for identifying, building, validating, and scaling AI-powered product solutions that drive real customer and business outcomes. This role is hands-on and AI-first. An AI Lead does not operate through documents, tickets, or handoffs. They build working solutions using AI, engage directly with customers, and iterate rapidly based on real-world feedback.

The AI Lead does everything an AI Product Engineer does - plus owns customer discovery, validation, prioritization, and measurable impact.

Core Responsibilities

AI-First Product Building

·       Build working product solutions using AI as the primary execution medium

·       Rapidly prototype, iterate, and refine solutions to validate ideas early

·       Use AI agents for requirements analysis, design exploration, implementation, and testing

·       Move from problem understanding to working solution without reliance on legacy SDLC rituals

Customer Discovery & Engagement

·       Engage directly with customers to understand workflows, pain points, and unmet needs

·       Use live demos and working prototypes to drive customer conversations

·       Validate solutions through real usage, not assumptions or opinions

·       Build trust by clearly explaining AI behavior, limitations, and tradeoffs

Problem Framing & Opportunity Identification

·       Frame problems clearly and precisely before execution

·       Identify new AI-powered solution opportunities and revenue potential

·       Evaluate ideas based on impact, feasibility, and learning velocity

·       Use experimentation to discard weak ideas quickly

Outcome Ownership

·       Define success in terms of adoption, retention, efficiency, and revenue impact

·       Prioritize initiatives based on outcomes, not feature volume

·       Continuously assess whether solutions are creating real value

·       Own the full lifecycle from idea to impact

Cross-Functional Leadership

·       Work closely with AI Product Engineers and AI Developers within AI Pods

·       Align engineering, design, and data efforts around outcomes

·       Communicate clearly with internal stakeholders

·       Represent the product externally with credibility and clarity

What This Role Is Not

·       Not a backlog or roadmap-only role

·       Not a handoff-based product manager

·       Not a requirements writer detached from execution

Required Skills & Experience

Core Capabilities

·       Strong ability to build working software using AI tools

·       Proven experience rapidly prototyping and iterating on product ideas

·       Deep understanding of probabilistic AI systems and guardrails

·       Ability to reason about systems end-to-end

Product & Business Acumen

·       Experience engaging directly with customers

·       Ability to identify business and revenue opportunities

·       Strong product judgment and taste

·       Comfort prioritizing under uncertainty

Communication & Leadership

·       Ability to explain complex AI behavior clearly and honestly

·       Strong storytelling grounded in real system behavior

·       Comfortable leading through influence rather than authority