Senior Product Manager - Serverless & Compute
This role owns the direction and revenue results for Runware's serverless GPU and dedicated compute products. It asks for a product manager who can talk comfortably about containers, networking, storage and distributed systems, and who spends real time with developers and ML teams to find the deployment problems they would pay to solve. A strong candidate balances customer needs, engineering limits and revenue, and is happy to test products, read data and demo to prospects directly.
How it fits the AI era
The product itself serves AI workloads, so the work is shaped by how fast models, hardware and customer demand change. AI tools can speed up prototyping, data review and early discovery, which the posting expects the person to use. Judgement on trade-offs such as cold starts versus cost, trust built with technical customers, and the choice of what becomes a product stay human.
How it builds AI experience
This role gives close exposure to how inference workloads are deployed, scaled and kept reliable on GPU infrastructure across many types of models. Someone building toward it could deploy a small model on a serverless GPU platform, measure cold starts and cost, and write up what they learned. Using AI tools to build prototypes and review usage data would also show the hands-on habit the team wants.
Worth showing
- Technical product ownership in infrastructure
- Serverless or GPU compute knowledge
- Customer discovery with technical teams
- Pricing and usage metrics thinking
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Runware
High-performance inference platform providing serverless and dedicated GPU infrastructure across thousands of machine learning models.
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Senior Product Manager - Serverless & Compute in London employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
