As a Technical Product Manager, you will partner with Support, Revenue Operations, program management, and IT to execute the vision, prioritize, and deliver lovable product features that balance innovation with operational excellence.

Key responsibilities include:

User Discovery: Interview internal users to uncover friction points and root causes, translating these insights into detailed functional requirements and clear feature initiatives tied to business outcomes. Cross-Functional Collaboration: Partner with Field, Engineering, and Revenue Operations to scope, plan, and launch 'lovable' products. Outcome Driven: Define and build success metrics directly into the product design phase, using data to inform current execution and future strategy. Innovation: Identify and apply improvements to internal workflows and new feature sets, incorporating GenAI where appropriate. Efficiency & Adoption: Drive internal efficiency, high feature adoption, and operational cost reduction.

Requirements include:

Technical Fluency: A strong technical background with the ability to discuss trade-offs with engineers. Functional Precision: Proven track record of refining high-level business requirements to granular, actionable technical specifications. Analytical Outlook: Professional experience using data to drive continuous improvement and track product-level success. Leadership & Ownership: Ability to operate with high autonomy and ownership in a fast-paced environment, leading cross-team projects to completion. Humble Attitude: A commitment to the success of the team and the company above all else.

Bonus points include familiarity with SQL and platforms like Pendo, Amplitude, Fullstory, or Looker, experience with Elastic Cloud, Elastic Stack, or similar cloud-based search and analytics platforms, and experience or willingness to work in a distributed, remote-first organization.

XML job scraping automation by YubHub

Responsibilities

• Define the long-term vision and roadmap for Alluxio's AI data platform, covering inference, training, and agentic workloads.
• Collaborate with engineering to design features that deliver high-throughput, low-latency data access (e.g., GPU-aware caching, streaming reads, tiered prefetching).
• Ensure seamless integration with frameworks like PyTorch, TensorFlow, Ray, and Triton; evolve Alluxio's APIs for AI-native workloads.
• Engage directly with enterprise AI teams to understand workload patterns, validate impact, and prioritize roadmap direction.
• Stay ahead of trends in multi-model serving, retrieval-augmented generation (RAG), and agentic orchestration; translate them into actionable product plans.

Requirements

• 5–9 years of experience in product management or technical leadership within AI infrastructure, ML platforms, or distributed systems.
• Strong understanding of AI/ML workflows , from model training and deployment to inference and data-access pipelines.
• Proven track record of delivering infrastructure features that improve latency, GPU utilization, or total cost of ownership.
• Technical fluency with distributed systems, caching, and cloud orchestration (Kubernetes, AWS/GCP/Azure).
• Familiarity with AI frameworks such as PyTorch, TensorFlow, Triton, Ray, or LangChain.
• Exceptional communication and strategic thinking , ability to translate complex systems work into clear, prioritized roadmaps.

Benefits

• Shape how the world's most advanced AI systems access and process data.
• Work at the intersection of distributed systems, AI acceleration, and open source.
• Collaborate with world-class engineers, researchers, and customers driving the AI frontier.
• Competitive compensation and equity package with comprehensive benefits.
• A culture built on curiosity, empathy, and deep technical rigor.

XML job scraping automation by YubHub

What you'll do

As a TPM, you will be the primary technical and product interface between Localization partners, Data Science, Data Engineering, Data Insights and Platform teams. You will lead the product direction of assigned solutions, ensuring they are technically sound, scalable, and aligned with EA's broader data and AI strategy.

What you need

• Experience communicating complex technical concepts to a variety of audiences.
• Technical background. University Degree in Computer Science, Software Engineering or equivalent educational or working background.

XML job scraping automation by YubHub