Product Lead - Serverless & Compute
About The Position
As Product Lead for Serverless & Compute, you will own product direction and revenue outcomes for Runware’s Serverless and Compute offerings, a strategically important growth area with the potential to become a major revenue driver. You will identify deployment and production problems customers will pay Runware to solve, determine which should become products, and work with Engineering, Design, and GTM to launch and continuously improve them. This is a highly technical product role with significant ownership. You will work directly with customers and engineers, make decisions across complex infrastructure trade-offs, and bring clarity to evolving customer needs and technical constraints. Success means helping customers run workloads, keep them running reliably at scale, and expand their usage. There may be opportunities to expand the role’s scope and impact as the product area grows.
Requirements
- Proven ability to shape product strategy, identify significant market opportunities, make complex product investment decisions, and drive measurable adoption and revenue growth.
- Strong product management experience owning technically complex cloud, infrastructure, platform, compute, or developer infrastructure products from discovery through launch, adoption, and iteration.
- Strong understanding of software and infrastructure systems, including the ability to discuss customer architectures and trade-offs involving APIs, containers, distributed systems, networking, and storage.
- Experience working directly with technical customers, understanding their architectures and workloads, and translating needs into scalable product decisions.
- Experience building for developers and understanding the journey from a first API call or deployment to dependable production usage.
- Strong product judgement and ability to prioritise across customer needs, engineering constraints, platform investment, and revenue potential.
- Strong ownership and comfort working in a fast-moving, ambiguous environment, identifying problems, creating clarity, and driving work forward.
- Hands-on approach, including testing products, inspecting data, demonstrating products to prospects, and using prototypes and AI tools to accelerate discovery and decisions.
Nice To Haves
- Experience with GPU compute or AI infrastructure, including inference, fine-tuning, training, or batch workloads.
- Experience building serverless, cloud compute, Kubernetes, or container-based infrastructure products.
- Strong awareness of the AI infrastructure and cloud compute landscape, including emerging platforms, products, and market trends.
- Previous technical experience in software engineering, infrastructure, DevOps, platform engineering, or a related discipline.
- Experience with usage-based billing, metering, reserved capacity, or infrastructure pricing.
- Experience working with enterprise infrastructure requirements involving security, reliability, governance, or capacity.
Responsibilities
- Shape product vision, strategy, and roadmap for serverless GPU workloads, dedicated capacity, and related compute products; make investment and prioritisation decisions that support company growth.
- Work directly with developers, ML teams, and infrastructure buyers to identify deployment, scaling, reliability, and cost barriers to adoption and expansion; use market insights to identify opportunities.
- Make production trade-off decisions, balancing cold starts, performance, cost, capacity, availability, workload isolation, and governance.
- Work with Engineering and Design to turn recurring customer needs into requirements and prototypes, test product flows, and resolve decisions as technical constraints emerge.
- Shape APIs, SDKs, CLI workflows, documentation, and the platform so developers can deploy, debug, and operate production workloads independently.
- Partner with GTM and company leadership on positioning, pricing, packaging, and market opportunities; own product adoption, expansion, and revenue growth.
- Track activation, deployments, production usage, reliability, expansion, and revenue, and use outcomes to improve the product and roadmap.
Benefits
- Remote-first work arrangement with in-person company gatherings twice a year.
- Core collaboration hours with flexibility outside those hours.
- Downtime after intense release cycles to recharge.
- Generous paid time off, including vacation, sick days, and public holidays.
- Meaningful stock options.
- Flexible hours and schedule outside core collaboration blocks.
- Paid maternity, paternity, and caregiver leave.
- Twice-yearly company retreats.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
