Senior Performance Marketing Strategist
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Lead paid media strategy across Google, LinkedIn, Meta, and Microsoft for growing B2B companies. Connect campaign investment to pipeline and revenue through strategic client leadership.
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VAST Data एक कृत्रिम बुद्धिमत्ता अवसंरचना कंपनी है, जो कठिन कार्यभार के लिए विस्तार योग्य डेटा भंडारण और प्रबंधन समाधान प्रदान करती है। 2019 में स्थापित यह कंपनी क्लाउड स्टोरेज, फ्लैश स्टोरेज, यूनिवर्सल स्टोरेज और NVMe, QLC फ्लैश तथा ऑल-फ्लैश प्रणालियों सहित डेटा सेंटर प्रौद्योगिकियों में विशेषज्ञता रखती है। इसका प्लेटफ़ॉर्म डीप लर्निंग और अन्य डेटा-गहन अनुप्रयोगों को समर्थन देने के साथ-साथ स्टोरेज संचालन को सरल बनाने के लिए तैयार किया गया है।
Forward Deployed Engineer at VAST Data (Hybrid - United States)
Partner with strategic customers to solve distributed systems and AI infrastructure challenges. Turn deployment insights into VAST Data product enhancements, automation, and reliable production outcomes.
विवरण
- Work directly within strategic, large-scale customer environments
- Partner with customer architects, operators, and developers to understand scaling challenges
- Resolve complex infrastructure issues and improve system throughput
- Diagnose difficult problems and build solutions for large workloads
- Convert real-world customer requirements into core product improvements
- Coordinate with engineering teams on hotfixes, roadmap changes, and new builds
- Create custom API endpoints, automation tools, and scripts
- Incorporate feedback from internal engineering code reviews
- Represent customer priorities in product roadmap decisions
- Lead the technical success of strategic deployments from design through production operations
आवश्यकताएँ
- Deep foundational expertise in distributed systems, high-performance file systems, storage protocols, and performance tuning
- Strong knowledge of high-throughput networking fabrics, including InfiniBand, RoCE (RDMA over Converged Ethernet), and 100GbE or faster networks
- Advanced understanding of Linux system architecture, memory management, and kernel mechanics
- Proficiency in Python and C or C++, including the ability to read, debug, and safely modify complex enterprise software
- Experience operating large-scale AI training environments or high-performance computing clusters is highly desirable
- Experience with Docker, Kubernetes, PyTorch, and TensorFlow is highly desirable
- At least 5 years in a highly technical engineering role such as Forward Deployed Engineer, Resident Engineer, Systems Software Engineer, or Senior Systems Engineer, including customer-facing collaboration
- Willingness and ability to travel to or work on customer sites as needed
- Exceptional communication abilities
- Highly organized and self-directed, with the judgment to manage customer expectations and establish strategic boundaries
- Curiosity and the ability to quickly learn unfamiliar technical concepts
लाभ
- Make a direct, measurable contribution to infrastructure that supports emerging technology
- Collaborate with a highly experienced engineering team
- Work on advanced technologies shaping the AI industry
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