Senior Technical Product Manager
Role in brief
Tether is seeking a Senior Technical Product Manager to define and execute the vision for a GPU-accelerated cloud services platform. This role involves leading the product roadmap for AI/ML model deployment infrastructure. Candidates with a strong background in AI infrastructure and cloud platform services, capable of working with engineers and data scientists to identify market opportunities, should consider applying.
About the role
This role focuses on leading the development of a cloud services platform designed to support AI/ML model deployment. The platform will span IaaS, PaaS, and SaaS models, requiring the Senior Technical Product Manager to define its long-term vision and manage its comprehensive product roadmap. This involves prioritizing features and enhancements to ensure the platform effectively serves its purpose.
A key aspect of this position is close collaboration with technical teams, including engineers, data scientists, and researchers. The goal is to identify specific market opportunities and to design a centralized, privacy-preserving, and resilient infrastructure layer for peer-to-peer networks. Success in this role means delivering a robust platform that meets the needs of various internal and external stakeholders.
The Senior Technical Product Manager will also be responsible for developing and executing launch plans in coordination with marketing and expansion teams. This includes defining and monitoring key performance indicators related to product engagement, customer satisfaction, and overall platform performance. The role requires engaging with enterprise customers to understand their distinct needs as users and decision-makers.
The listed salary range for this senior role is between $90,000 and $209,000 USD.
Skills that matter here
- AI/ML: This role involves leading a platform specifically for AI/ML model deployment and infrastructure.
- cloud infrastructure: The position requires defining the vision for a cloud services platform across IaaS, PaaS, and SaaS models.
- GPU resource management: Experience with GPU resource management is a requirement for this GPU-accelerated cloud services platform.
- AWS: Familiarity with cloud platform services like AWS is beneficial for managing the platform's infrastructure.
- Databricks: Experience with AI-specific cloud platform services such as Databricks is a stated requirement.
- DevOps: Understanding DevOps practices is relevant for developing and scaling resilient infrastructure.
Who this role suits
- A person who has spent at least three years in a technical product management role focused on AI infrastructure products.
- Someone with a strong understanding of ML model architectures, training dynamics, and optimization techniques.
- An individual with a proven history of successfully launching products and managing comprehensive roadmaps.
- A leader who excels at communication and collaboration, capable of working effectively with engineers, data scientists, and marketing teams.
From the employer
- Define and champion the long-term vision for a Cloud Services Platform (CSP) across IaaS, PaaS, and SaaS models.
- Own and manage a comprehensive product roadmap, prioritizing features and enhancements that drive impact.
- Engage directly with engineers, data scientists, and researchers to identify niche market opportunities.
- Partner with other Tether teams to design and scale a centralized, privacy-preserving, and resilient infrastructure layer for P2P networks.
- Develop and execute launch plans in coordination with marketing and expansion teams.
- Define and monitor KPIs for product engagement, customer satisfaction, and platform performance.
- Collaborate with enterprise customers to distinguish between users and decision-makers.
- 7+ years of product management experience, with at least 3 years as a technical product manager for AI infrastructure products.
- Experience with GPU resource management and ML framework infrastructure.
- Familiarity with AI-specific cloud platform services, such as TogetherAI, ScaleAI, Databricks, or AWS SageMaker.
- Demonstrated understanding of ML model architectures, training dynamics, and optimization techniques.
- Proven track-record of successful product launches.
- Exceptional leadership, communication, prioritization, and team-building skills.
- Degree in engineering, physical sciences, or closely related fields.
- Work remotely from every corner of the world.
- Collaborate with some of the brightest minds in the fintech space.
- Opportunity to contribute to the most innovative platform on the planet.
Questions about this role
What is the remote work policy for this position?
This is a fully remote position, allowing candidates to work from any location globally.
What is the seniority level of this role?
This is a senior-level position, requiring significant prior experience in product management, specifically within AI infrastructure.
What is the salary range for this role?
The salary for this position ranges from $90,000 to $209,000 USD annually.