ОАЭDizzaract
Senior Product Manager, AI Inference Platform
1 мес. назад
ОАЭSeniorRemoteC1
apigpubenchmarkinginferencelatencymonitoringbillingdeployment
Senior Product Manager role for overseeing FAR AI, an AI inference platform at Dizzaract, a product-driven company in gaming, digital platforms, and AI. Role involves end-to-end product ownership, working with engineering, commercial teams, and customers on AI infrastructure and platform features.
About the company
- Dizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI.
- We build and scale multiple products, including FAR Labs and Gamed.
- We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin.
- AI is embedded across everything we build, from infrastructure to product decisions.
About the product
- FAR Labs is building FAR AI , an AI inference platform for developers, AI-native companies, and enterprises running production workloads.
- The product covers the full path from model access and deployment to inference performance, APIs, usage visibility, billing, monitoring, and infrastructure control.
- Customers care about latency, batched throughput, reliability, cost, security, privacy, and the ability to understand and control their AI workloads.
Responsibilities
- Own major parts of FAR AI from discovery through launch, adoption, measurement, and iteration.
- Work directly with AI-native companies and enterprise teams to understand their models, workloads, deployment requirements, security needs, performance expectations, and reasons for switching providers.
- Turn customer and business needs into clear PRDs, product boundaries, acceptance criteria, success metrics, and release decisions.
- Help define how FAR AI develops across model APIs, managed deployments, developer interfaces, routing, observability, usage, billing, and infrastructure control.
- Shape the API, documentation, onboarding, account experience, usage visibility, error handling, and operational tools customers need to reach production.
- Partner with Engineering and Product Analytics to define and interpret metrics such as TTFT, inter-token latency, batched throughput, goodput, utilization, reliability, cost per workload, breakeven point, and gross margin.
- Define fair benchmark methodology and compare FAR AI with market alternatives under equivalent conditions.
- Decide what must ship now, what requires customer validation, and what should remain out of scope.
- Work with Engineering to break approved requirements into releases, expose dependencies and risks, and keep product outcomes connected to execution.
- Keep Product, Engineering, Commercial, QA, Support, and leadership aligned on what is being built, why it matters, and what evidence will confirm success.
- Define and track activation, adoption, workload growth, retention, reliability, customer value, and business performance.
- Follow inference providers, AI infrastructure platforms, developer tools, model-serving technologies, and enterprise AI requirements to turn relevant changes into product decisions.
Requirements
- 6+ years of experience in product management or technical product leadership.
- 3+ years working on AI/ML infrastructure, inference platforms, GPU cloud, cloud infrastructure, developer platforms, APIs, or another technically complex B2B product.
- Direct experience shipping a product used for production AI workloads.
- Strong understanding of how model inference works from an API request through model serving and GPU execution.