Product Manager - Platform

About the role

As a Product Manager - Platform, you'll be reporting into our product team and working as a key member of our Technology Foundations team, you'll shape the platforms that power everything we build from internal tools to production infrastructure. The team spans our cloud infrastructure and operational tooling, along with key cross‑cutting capabilities such as access management, data warehouse & pipelines and early AI foundations. You will own the platform product roadmap and prioritise and define our platform capabilities ensuring they evolve from individual systems into cohesive, scalable internal products.

What you'll do

• Define and communicate the platform strategy - unifying cloud, security, workplace, and data foundations into a coherent product roadmap that enables our teams
• Drive the discovery and definition process, partnering with engineering, data, and product teams to identify developer pain points, internal process bottlenecks, and automation opportunities
• Enhance CI/CD, observability, incident management, and infrastructure as code to drive scalability, resilience, and speed across all engineering teams
• Explore and implement AI-powered improvements in developer productivity, monitoring, and automation (e.g., AWS or Datadog integrations)
• Reduce cognitive load through high-quality abstractions, self-serve tools, and documentation that will improve developers experience
• Enable Cross-functional teams by creating shared services and reusable tooling that benefit multiple teams and domains across lemon.markets
• Define KPIs to measure platform reliability & adoption, developer satisfaction, delivery speed, data quality and system efficiency

What you'll need

• Extensive experience as a product manager, with a strong track record building technical platforms or infrastructure products
• Experience working closely with engineering and DevOps teams on platform tooling, automation, or internal systems
• Understanding of backend systems, distributed architectures, observability stacks, and CI/CD frameworks
• Comfort operating across complex technical domains like cloud, data, internal tooling, and AI productivity systems
• Technical literacy, capable of bridging the gap between the needs of non technical stakeholders and the platforms they use for self-service
• Systems thinking and leverage knowing when to build for today and when to design for scale
• Curiosity for AI's role in platformization, and comfort experimenting with new technologies
• Strong ownership mindset with intrinsic motivation to create impact by delivering high quality outcomes
• Collaborative mindset with natural inclination for sharing knowledge and cross-functional work
• Great communication skills