About the job
The goal of a Product Manager is to bridge the gap between technical capabilities and business objectives, focusing on the technical aspects of product development. They work closely with engineering teams to define product roadmaps, prioritize features based on market research and customer needs, and ensure the successful delivery of technical products and services. They manage the product vision, identify and mitigate potential risks, and maintain alignment with overall business requirements.
About the challenge
In this role, you will lead the vision, strategy, and execution of a GPU‑accelerated cloud services platform designed to empower data scientists, developers, and enterprises to build, train, and deploy AI/ML models at scale while supporting the growth of the P2P AI ecosystem.
Qualifications
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
Optionally, experience or understanding of crypto mechanics is desirable
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.
What We’re Looking For
Strong product‑led growth mindset aiming to take career to the next level, moving from contributing to a product area to having full ownership over building, scaling, and succeeding with new product and service lines.
Experience beyond consumer‑level AI/ML, with deep understanding of how modern AI systems behave.
Deep knowledge of software and hardware intricacies to actively engage highly‑technical stakeholders.
A team leader comfortable with operations and able to work across all facets of a product.
A high‑agency individual capable of setting internal and external goals, shaping team culture, and liaising effectively with executive management and other departments.
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