Senior Product Manager for Serverless & Compute
Job Description
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About the Role
As Senior Product Manager for Serverless & Compute, you’ll own the product direction and revenue outcomes for Runware’s Serverless and Compute offerings. You’ll identify the deployment and production problems customers will pay Runware to solve, decide which should become products, and work closely with Engineering, Design, and GTM to bring them to market and continuously improve them.
This is a highly technical product role with significant ownership. You’ll work directly with customers and engineers, make decisions across complex infrastructure trade-offs, and create clarity where customer needs and technical constraints are still evolving. Success means customers can get workloads running, keep them running reliably at scale, and expand their usage.
Key Responsibilities
- Set product direction and make trade-offs. Own the strategy and roadmap for serverless GPU workloads, dedicated capacity, and related compute products, deciding what gets prioritized and why.
- Understand customers and their workloads. Work directly with developers, ML teams, and infrastructure buyers to identify where deployment, scaling, reliability, or cost blocks adoption and expansion, and use market insights to identify where Runware can win.
- Own production trade-offs. Decide how Serverless balances cold starts, performance, and cost with capacity, availability, workload isolation, and governance.
- Drive delivery with Engineering and Design. Turn recurring customer needs into requirements and prototypes, test product flows yourself, and resolve decisions as technical constraints emerge.
- Make production use manageable. Shape APIs, SDKs, CLI workflows, documentation, and the platform so developers can deploy, debug, and operate workloads in production without needing help at each step.
- Drive commercial outcomes with GTM. Bring customer and workload insights into product positioning, pricing, packaging, and prospect conversations.
- Measure outcomes and adapt. Track activation, deployments, production usage, reliability, expansion, and revenue to continuously improve the product and roadmap.
Requirements
- 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, with the technical depth to discuss customer architectures and product trade-offs across APIs, containers, distributed systems, networking, and storage.
- Experience working directly with technical customers, understanding their architectures and workloads, and translating their 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 judgment, with the ability to prioritize across customer needs, engineering constraints, platform investment, and revenue potential.
- Strong ownership and comfort operating in a fast-moving, ambiguous environment where you’re expected to identify problems, create clarity, and drive work forward.
- A hands-on approach: you test products, inspect data, demo to prospects, and use prototypes and AI tools to accelerate discovery and decisions.
- Nice to have
- 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 around security, reliability, governance, or capacity.
Benefits
We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life.
Our release cycles are fast and intense, but they’re followed by real downtime. After big pushes, we expect the team to unplug, recharge, and come back ready and stronger than ever for the next leap.
- Generous paid time off – vacation, sick days, public holidays
- Meaningful stock options – share in the upside you create
- Flexible hours – own your schedule outside core collaboration blocks
- Family leave – paid maternity, paternity, and caregiver time
- Company retreats – twice-yearly gatherings in inspiring locations
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Runware
View Company ProfileRunware is a premier, enterprise-grade AI inference platform engineered to orchestrate massive-scale generative media ecosystems and intelligent serverless GPU workflows. Operating as a highly integrated artificial intelligence infrastructure hub, the company eliminates the operational friction of traditional cloud GPU deployments by seamlessly deploying its proprietary Sonic Inference Engine®, rigorous custom hardware architectures, and cohesive unified API frameworks. Moving beyond rigid legacy inference bottlenecks, Runware empowers global developers, elite generative AI applications, and digital media enterprises to dynamically synchronize their text, image, video, and audio generation pipelines with world-class sub-second execution. Under the hood, their sophisticated computational infrastructure natively handles complex multimodal model ingestion, instantaneous bulk request routing, and seamless open-source model optimization, ensuring frictionless generation readiness and uncompromising cost efficiency. What sets Runware apart is its uncompromising dedication to frictionless AI orchestration; by bridging the gap between bespoke hardware engineering and rigorous developer accessibility, the platform empowers organizations to radically accelerate their product velocity, optimize inference bandwidth, and build an unassailable foundation for continuous generative dominance in the modern artificial intelligence landscape.
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