[Remote] Product Manager (Inference Platform)
Note: The job is a remote job and is open to candidates in USA. Asobbi is supporting a rapidly scaling Neocloud that is building a next-generation Token Factory and AI Inference Platform designed to power the future of enterprise AI. They are seeking a Senior Product Manager to define product strategy, shape the roadmap, and influence the future direction of their platform, working closely with various teams to build a category-defining AI infrastructure product.
Responsibilities
- Own the product vision, strategy and roadmap for the company’s Token Factory and AI Inference Platform
- Translate customer requirements, market trends and business objectives into clear product priorities
- Define platform capabilities including model deployment, scheduling, autoscaling, routing, observability, billing and multi-tenancy
- Work closely with engineering, architecture and infrastructure teams to deliver new platform features and capabilities
- Gather feedback from strategic customers and partners to shape future product development
- Build business cases, product requirements and success metrics for platform initiatives
- Drive prioritisation decisions across multiple stakeholder groups including engineering, sales, leadership and customers
- Monitor competitive developments across AI infrastructure, inference, GPU cloud and hyperscaler ecosystems
Skills
- 5+ years of Product Management experience within infrastructure, cloud, platform or enterprise software environments
- Experience owning product strategy and roadmap for technical platforms or infrastructure products
- Strong understanding of cloud-native technologies, distributed systems or infrastructure platforms
- Proven ability to work with highly technical engineering and architecture teams
- Experience gathering customer requirements and translating them into product outcomes
- Strong stakeholder management and communication skills
- Data-driven approach to product prioritisation and decision-making
- Experience within AI Infrastructure, MLOps, AI Platforms or GPU Cloud environments
- Knowledge of AI inference workloads, LLM deployment or model serving ecosystems
- Familiarity with Kubernetes, cloud infrastructure and platform technologies
- Experience with consumption-based or usage-based commercial models
- Background within a hyperscaler, NeoCloud, AI infrastructure provider or developer platform company
- Understanding of token-based economics and AI platform monetisation
Company Overview