Product Manager; Data & AI Platform

Cloudsmith Belfast, Northern Ireland, United Kingdom

Cloudsmith is transforming how organizations handle software artifacts and secure their supply chains. As a fully managed multi-tenant Software as a Service (SaaS) platform, we enable organizations to build software better, through best-in-class artifact management and software supply chain security. Our vision is to become the software supply chain itself, powering the future of software delivery. We are the world's most potent artifact management platform, built by developers for developers.

Our platform supports over 30 formats spanning languages, container formats, and operating systems, with enterprise-grade features, including vulnerability and security scanning, world-class policy management and enforcement, and web-scale to handle the Fortune 500. Organizations integrate Cloudsmith as critical infrastructure into their development, deployment, and distribution pipelines, trusting us to protect and accelerate, no matter the scale. Backed by top-tier investors and on a trajectory toward IPO and beyond, we're building mission-critical infrastructure that powers software delivery for organizations worldwide.

We operate at the cutting edge of cloud-native technology, tackling complex distributed systems challenges that directly impact millions of developers. Now is an exciting time to join us as we revolutionize how organizations deliver and secure software and help write the next chapter of our rocketship growth story.

Cloudsmith is building a new data platform that is critical to our product and business strategy. It will power the insights our customers need to secure and scale their software supply chains, and it will enable the next generation of AI-driven features that leverage our large volumes of static and event data.

As Product Manager, Data and AI Platform
, you’ll define and deliver the capabilities that make this possible. You’ll work closely with engineering to shape the infrastructure and pipelines that feed both internal systems and customer-facing features. Experience working directly with data, through analysis, prototyping or a prior technical role, will help you anticipate use cases and advocate for strong data foundations. You’ll collaborate with other product teams to ensure the platform supports features that rely on data, like usage insights, security analytics, and emerging AI capabilities.

• Own the data platform roadmap:
  Define and communicate a clear strategy for how Cloudsmith’s data becomes a product, with clear priorities and outcomes. Success means delivering a roadmap that is aligned with company strategy, has stakeholder buy-in, and leads to shipped capabilities on time.
• Translate company-wide data needs into priorities:
  Gather requirements from teams across engineering, product, GTM, and operations, and consolidate them into a single, prioritized roadmap and backlog that results in clear, actionable initiatives for engineering.
• Define the use cases and requirements for core data systems:
  Work with stakeholders to identify how data should be made available and usable at scale; example use cases include customer health insights, billing, support tooling, and product analytics, and platform features.
• Provide clear product direction and trade-off decisions:
  Ensure engineering has requirements and priorities for each initiative, and facilitate timely decisions that keep projects aligned with product goals and milestones.
• Lead the product development lifecycle:
  Lead discovery, validation, and prioritization of opportunities, and collaborate closely with engineering as solutions are designed, built, and released.
• Drive release, iteration, and enablement:
  Ensure new capabilities are successfully launched and adopted. Collect feedback, measure impact, and iterate on improvements. Work with product marketing, customer success, and other teams so that new capabilities are understood, adopted and delivering value.
• Enable customer-facing features:
  Work with other product managers and designers to understand the data their features require, and ensure the platform delivers it in the right…