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Senior Technical Product Manager Token Factory - Inference (AI/ML)
204 000 - 255 000$
Описание вакансии
Текст:
TL;DR
Senior Technical Product Manager (AI/ML): Leads the definition, development, and delivery of highly scalable, production-grade machine learning inference systems with an accent on balancing performance, reliability, and customer needs. Focus on designing and optimizing real-time and batch inference workflows, translating technical challenges into product requirements, and guiding product adoption for complex inference problems.
Location: Remote from the United States
Salary: $204,000–$255,000 OTE + equity
Company
is leading a new era in cloud computing to serve the global AI economy, creating tools and resources for customers to solve real-world challenges.
What you will do
- Own the product roadmap for Token Factory inference capabilities in high-load ML scenarios.
- Be involved in customer PoCs for distributed ML model deployment and optimization.
- Collaborate with engineering and research teams to shape scalable infrastructure for inference.
- Act as a technical voice in customer conversations, translating ML workflows into product requirements.
- Drive product adoption by delivering tools and features that solve real-world inference problems at scale.
Requirements
- 3–5 years of product management experience, ideally in cloud infrastructure, ML platforms, or developer tools.
- Strong technical foundation (e.g., Computer Science or Engineering degree) with ability to dive deep into model architectures and serving systems.
- Familiarity with modern ML inference tools and frameworks (e.g., Triton Inference Server, vLLM, TensorRT-LLM).
- Proven track record of delivering technically complex products that support distributed and high-throughput ML pipelines.
- Strong communication skills, working across engineering, research, and customer-facing teams.
- Must be legally authorized to work from the US.
Nice to have
- Deep understanding of modern ML architectures, including transformer-based models.
- Experience delivering or supporting ML solutions in production.
- Knowledge of MLOps or AIOps cycles.
Culture & Benefits
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within .
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
- 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan with up to 4% company match and immediate vesting.
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