Technical Product Manager

Product Manager

Dubai

April 23, 2026

Application ends: July 22, 2026

Job Description

REQUIREMENTS

7+ years of product management experience, with at least 3 years as a technical product manager for AI infrastructure products that include:

Building or managing AI platform services involving model training, fine-tuning, inference optimization and quantization workflows
Direct experience with GPU resource management and ML framework infrastructure (beyond API consumption of foundation models)

Experience interacting with cloud platform services, such as AWS, Azure or GCP across their multiple offerings

Familiarity with AI-specific cloud platform services, such as TogetherAI, ScaleAI, Databricks or AWS SageMaker, at least from a consumer standpoint and strong understanding of underlying technologies

Demonstrated understanding of ML model architectures, training dynamics, and optimization techniques

Past experience in high-growth organizations

Proven track-record of successful product launches

Exceptional leadership, communication, prioritization and team-building skills

Ability to engage and evangelize a product vision to both highly-technical and non-technical stakeholders alike

Degree in engineering, physical sciences or closely related fields

Skilled in defining, tracking, and reporting on product KPIs to measure success

RESPONSIBILITIES

Product Vision & Strategy: Define and champion the long-term vision for a Cloud Services Platform (CSP) across IaaS, PaaS, and SaaS models. Align product direction with company objectives and industry trends to maintain a competitive edge and deliver sustained value.
Ownership and Leadership: Own and manage a comprehensive product roadmap, prioritizing features and enhancements that drive impact. Collaborate closely with engineering and cross-functional teams to ensure successful delivery of products and services. Build strong relationships with executives, partners, and industry influencers to foster strategic alliances and advocate for the platform s growth.
Customer-Centric Focus: Engage directly with engineers, data scientists, and researchers to identify niche market opportunities, maximize value delivery, and ensure seamless product experiences that resonate with technical users.
Ecosystem Expansion: Partner with other Tether teams to design and scale a centralized, privacy-preserving, and resilient infrastructure layer for P2P networks – strengthening the broader P2P ecosystem.
Go-To-Market Strategy: Independently develop and execute launch plans in coordination with marketing and expansion teams. Drive positioning, messaging, and market-entry strategies that establish the platform as a key player in select AI/ML CSP niches.
Performance Tracking: Define and monitor KPIs for product engagement, customer satisfaction, and platform performance to ensure continuous optimization and alignment with success metrics.
B2B Orientation: Collaborate with enterprise customers to distinguish between users and decision-makers, ensuring that both receive tailored value propositions and measurable business outcomes.