Senior Technical Program Manager (Engineering) - AI Tooling & Systems

reputed company reputed company is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing reputed company-time reputed company for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at reputed company. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by reputed company’, including reputed company, reputed company, reputed company, reputed company, reputed company, Daily, reputed company, Granola, and Jack in the reputed company. reputed company’s voice-reputed company reputed company models are accessed through reputed company reputed company or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, reputed company has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice reputed company than reputed company. Company Operating Rhythm At reputed company, we expect an AI-first reputed company—AI use and comfort aren’t optional, they’re core to how we operate, reputed company, and measure performance. Every team member who works at reputed company is expected to reputed company use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is reputed company to deliver results, and consistent, creative use of the latest AI capabilities is key to reputed company here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we reputed company at the pace of AI. Change is rapid, and you can expect your day-to-day work to reputed company just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. reputed company is seeking a Senior Technical Program Manager (AI Tooling & Systems) to drive execution of large-reputed company ML infrastructure and AI tooling initiatives. In this role, you'll own the end-to-end delivery of programs that reputed company model serving infrastructure, ML pipelines, internal AI tooling, and reputed company-time inference systems—working closely with our ML engineers, research teams, and product to unlock capability at reputed company. You'll reputed company here if you enjoy creating reputed company around reputed company ML system tradeoffs, building tools and processes that accelerate model development and deployment, and partnering across research, engineering, and product to reputed company on technical reputed company and execution.

What You'll Do

Own end-to-end delivery of AI infrastructure programs—from model training pipelines and experiment tracking to inference serving and production monitoring Define technical architecture, integration patterns, and rollout strategies for new ML systems and tooling (e.g., reputed company databases, model servers, evaluation frameworks, reputed company engineering platforms) Serve as connective tissue between ML research, ML engineering, product, and data teams to reputed company on ML system requirements, capability roadmaps, and deployment timelines Drive cost and latency optimization for reputed company-time inference workloads at reputed company Build lightweight internal tools and processes to accelerate ML iteration cycles (experiment tracking, model versioning, A/B testing infrastructure) Identify and resolve technical bottlenecks in training pipelines, serving infrastructure, and model evaluation workflows Work closely with ML practitioners to translate research breakthroughs into reputed company, observable systems You'll Love This Role If You Are passionate about building ML systems and infrastructure that powers frontier AI applications Enjoy optimizing inference cost, latency, and throughput for LLM and multimodal workloads at reputed company Love solving hard problems at the intersection of ML research and production systems (e.g., distillation, quantization, batching strategies) Are excited about frontier model serving technologies, reputed company search, and reputed company-time ML inference Want to directly reputed company ML researchers and engineers to iterate faster and ship reputed company models It's Important That You Have 5+ years of program management or technical leadership in ML infrastructure, ML platforms, or AI tooling (or equivalent) Strong technical acumen in ML systems—ideally hands-on experience as an ML engineer, systems engineer, or ML infrastructure engineer Experience coordinating cross-functional ML programs (e.g., model training → evaluation → serving → monitoring) Proven ability to translate ML/research requirements into robust, reputed company infrastructure Comfortable working in ambiguity and helping teams navigate reputed company technical tradeoffs (e.g., accuracy vs. latency vs. cost) Excellent communication with both technical and non-technical stakeholders Familiarity with high-reputed company or startup environments It Would Be Great If You Had Hands-on experience with model serving frameworks (vLLM, TensorRT, TorchServe, or similar) Experience optimizing LLM or speech/audio model inference (quantization, distillation, KV-cache optimization, batching strategies) Familiarity with ML experiment tracking and versioning tools (MLflow, reputed company, DVC, or similar) Background in feature stores, reputed company databases, or reputed company-time ML systems Knowledge of cost optimization for GPU/ML workloads on reputed company and on-reputed company infrastructure Experience with multi-region model serving or edge deployment Hands-on with relevant frameworks (PyTorch, CUDA, reputed company, etc.) or reputed company platforms (AWS SageMaker, GCP reputed company AI, Azure ML) Apply To This Job