Product Director - Cloud Computing Platform

Trulyyy; Singapore; On-site; SGD 240,000 - 380,000; Full time

Job summary

Trulyyy in Singapore is seeking a Product Director to lead the overall product strategy for its AI cloud platform. You will own the portfolio, roadmap, pricing, and go-to-market motion across GPU compute, containers, networking, storage, and serverless offerings.

Partner with engineering, infrastructure, sales, and solutions teams to scale the product organization, drive revenue and gross margin, and translate enterprise needs into repeatable platform capabilities that developers rely on.

Qualifications

• 10+ years in cloud computing, infrastructure, or enterprise tech products.
• Experience leading products or product teams for a major cloud or AI infrastructure.
• Ownership of a cloud product line or leadership in scaling a cloud platform.
• Strong understanding of GPU computing, networking, storage, and metering.
• Proven ability to balance customer needs, technical complexity, and commercial value.

Responsibilities

• Define product strategy, architecture, and long-term roadmaps for AI cloud platform.
• Lead portfolio across GPU compute, bare metal, containers, networking, storage, and more.
• Define direction for AI training, inference, and serverless workloads.
• Own packaging, pricing, metering, and SLA design with revenue accountability.
• Translate customer needs into repeatable platform capabilities for developers and enterprises.
• Partner with engineering, operations, sales, and solutions to drive lifecycle from strategy to launch.
• Build and lead the AI cloud product organization with effective governance.

Skills

Cloud computing

Product leadership

Cross-functional leadership

Strategic thinking

Pricing & monetisation

Tools

GPU cloud platforms

Job description

Our client is a fast-growing global AI cloud infrastructure company building a large-scale GPU cloud platform across multiple regions.

They are looking for a Product Director to lead the overall product strategy, portfolio, commercialisation, and product organization for the next stage of growth.

Responsibilities

• Define the overall product strategy, product architecture, and long-term roadmap for the company’s AI cloud platform, including market positioning, core product offerings, and investment priorities
• Lead the product portfolio across GPU compute, bare metal, containers, networking, storage, resource management, and shared cloud platform capabilities
• Define the product direction for AI training, inference, model deployment, and serverless inference, continuously improving the experience for developers and enterprise customers
• Own product packaging, business models, pricing, metering, and SLA design, with accountability for product revenue, gross margin, resource utilisation, and customer adoption
• Develop a deep understanding of the needs of AI companies, developers, and large enterprises, and translate customer requirements into standardised and repeatable platform capabilities
• Partner closely with engineering, infrastructure, operations, sales, and solutions teams to drive the full product lifecycle from strategy and development through launch, adoption, and ongoing optimisation
• Build and lead the AI cloud product organization, establishing effective processes for product decision‑making, roadmap planning, requirements management, releases, and product operations

Qualifications

• 10+ years of experience in cloud computing, infrastructure, or enterprise technology products, including experience leading products or product teams
• Product experience with a major public cloud, GPU cloud, AI infrastructure platform
• Demonstrated ownership of a major cloud product line, or leadership experience in building, significantly expanding, or commercially scaling a cloud platform
• Strong understanding of GPU computing, cloud infrastructure, resource scheduling, networking, storage, containers, metering, and billing
• Familiarity with the major product and infrastructure requirements for large-model training, inference, model serving, and AI workloads
• Strong product strategy, market judgement, and prioritisation skills, with the ability to balance customer needs, technical complexity, investment requirements, and commercial value
• Experience with product pricing, cost management, infrastructure utilisation, and commercialisation, with accountability for measurable business outcomes
• Proven leadership and cross‑functional execution skills, including the ability to align product, engineering, infrastructure, sales, and operations teams

Regrettably, only shortlisted candidates will be notified.

Please note that Data provided is for recruitment purposes only.

Business Registration No. - 202004228R | License. No. - 20S0118 | EA Registration No. - R23112762