Product Manager
Posted
Summary
Farcana is hiring a remote Product Manager (UAE) to own AI infrastructure product areas — model APIs, GPU inference, deployments, routing, observability, and billing — from discovery through launch, measurement, and iteration. Requires 6+ years in product management, including 3+ years on AI/ML or developer platforms.
You will own major product areas from discovery through launch, measurement, and iteration. You will turn customer needs into product requirements and release decisions, shape APIs and developer experiences, define performance and business metrics, prioritize roadmap work, run benchmarking, and align delivery across functions.
Responsibilities
- Own major product areas from discovery through launch, adoption, measurement, and iteration
- Work with customers to understand workloads, deployment requirements, security needs, and performance expectations
- Turn customer and business needs into PRDs, product boundaries, acceptance criteria, success metrics, and release decisions
- Help define platform strategy across model APIs, deployments, routing, observability, usage, billing, and infrastructure control
- Shape APIs, documentation, onboarding, account experiences, usage visibility, error handling, and operational tools
- Define and interpret performance and economic metrics
- Define benchmark methodology and compare market alternatives
- Prioritize product scope and protect the team from unnecessary complexity
- Break approved requirements into releases and expose dependencies and risks
- Align Product, Engineering, Commercial, QA, Support, and leadership
- Define and track activation, adoption, workload growth, retention, reliability, customer value, and business performance
- Follow relevant market and technology developments and turn them into product decisions
Requirements
- 6+ years of product management or technical product leadership experience
- 3+ years working on AI or ML infrastructure, inference platforms, GPU cloud, cloud infrastructure, developer platforms, APIs, or a technically complex B2B product
- Experience shipping products used for production AI workloads
- Understanding of model inference from API request through model serving and GPU execution
- Working knowledge of latency, throughput, batching, caching, quantization, concurrency, utilization, scaling, routing, monitoring, and failure handling
- Experience with technical customers including ML engineers, AI engineers, platform engineers, developers, and CTOs
- Experience translating workloads and technical constraints into product requirements
- Product ownership from discovery and definition through release and adoption
- Understanding of product metrics, infrastructure economics, pricing inputs, and cost-performance trade-offs
- Experience working with Engineering, Commercial, QA, Support, Finance, and leadership
- Strong written communication and product documentation
- Ability to operate in a fast-moving startup environment
- Advanced English
- Experience with vLLM, SGLang, TensorRT-LLM, Kubernetes, GPU infrastructure, OpenAI-compatible APIs, model gateways, or enterprise AI controls
Benefits
- Performance-based incentives
- 24 days annual leave plus public holidays
- Health insurance
