Product Manager - Spark

Jobgether; Ireland; À distance; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Jobgether is seeking an experienced Product Manager to lead the Spark projects, shaping the product strategy for AI-powered software development infrastructure. You will enable instant provisioning of backend resources for AI agents and their platforms, from initial experiments through scalable production workloads.

You will collaborate across Product, Engineering, Growth and Finance to drive pricing, packaging and long-term scalability.

Qualifications

• At least 5 years of Product Management experience in developer tools or infrastructure.
• Strong product judgment and execution ability.
• Familiarity with AI-driven development and infrastructure needs.

Responsabilités

• Define the product strategy and roadmap for Spark projects.
• Lead cross-functional collaboration to shape pricing, packaging, and scalability.
• Guide development from MVP to general availability for AI-enabled backend infra.
• Establish success metrics and instrument product decisions with data.

Description du poste

We're looking for an experienced Product Manager to lead the development and growth of an innovative project type designed for the next generation of AI-powered software development. As AI agents create more applications, prototypes, and experiments, developers need backend infrastructure that is instantly available, cost-effective, and able to scale with their needs. In this role, you'll define the product strategy for Spark projects, making it easy for agents and the platforms they operate on to provision and use backend resources from the very beginning. You'll also shape the journey from early experimentation to production, helping projects evolve into larger, more capable workloads. Working across Product, Engineering, Growth, and Finance, you'll influence product experience, pricing, and long-term scalability. This is an opportunity to build a new product offering within a globally distributed, remote-first, open-source-oriented environment. Own the product strategy and roadmap for Spark projects, guiding development from the initial MVP through general availability. Make Spark seamless for AI agents and the platforms they run on, ensuring backend infrastructure is available as soon as an idea or application is created. Define the user journey from experimentation to production, including how projects are claimed, upgraded, and expanded across the broader platform. Collaborate with Engineering, Growth, and Finance to develop packaging and pricing strategies that remain sustainable and economical at significant scale. Work closely with platform customers to understand their requirements, validate opportunities, and introduce Spark to relevant use cases. Establish clear success metrics, implement end-to-end product instrumentation, and use data and insights to guide prioritization and future development. Continuously evaluate product performance and user feedback to identify opportunities for improvement and growth.

At least 5 years of Product Management experience in developer tools or infrastructure, or previous founder experience demonstrating strong product judgment and execution. A clear understanding of agent-driven development and how AI agents are changing the infrastructure and backend needs of developers and software platforms. Familiarity with AI evaluations, controlled experimentation, and data analysis, with the ability to use evidence to inform product decisions. A strong bias toward action, with a preference for shipping, learning, and iterating quickly rather than over-investing in detailed specifications. A hands-on approach to product development, including actively using the tools and products you manage to build informed opinions. Experience using AI tools to accelerate research, drafting, and feedback synthesis, while maintaining strong independent judgment. Excellent written communication and decision-making skills, with the ability to work asynchronously and document decisions clearly in a fully remote environment. Comfort operating in a fast-moving, evolving product environment that requires autonomy, adaptability, and close cross-functional collaboration.