Senior Technical Program Manager - Product Engineering

Requirements

• Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.
• Our customers range from AI researchers to enterprises and hyperscalers.
• If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
• What You’ll Do - Lead and manage large-scale, complex software development programs from initiation through delivery, ensuring timely, high-quality execution of roadmap commitments for the Lambda AI Cloud compute platform. - Define program scope, objectives, success criteria, and governance, translating product
• - Possess a strong technical background to effectively engage with engineers on technical design decisions, architecture reviews, and sizing of deliverables for AI cloud services.
• experience in a technical program management and/or technical management role - Possess a deep understanding of software development life cycles, cloud infrastructure, and the unique challenges associated with delivering high-performance AI compute solutions. - Prior
• experience working on AI/ML infrastructure, GPU/accelerator platforms, or container orchestration technologies (e.g., Kubernetes). - Proven
• experience delivering large-scale cloud-based products or services, with a strong preference for
• experience in infrastructure, distributed systems, or high-performance computing (HPC)/AI/ML platforms. - Expert-level knowledge of software development life cycle (SDLC) methodologies and project management tools.
• Nice to Have - Demonstrated ability to drive strategic decision-making in ambiguous technical domains. - Excellent analytical, problem-solving, and organizational skills, with the ability to manage multiple programs concurrently. -
• Experience operating in a rapidly scaling environment.
• About Lambda - Founded in 2012, with 500+ employees, and growing fast - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our

Experience