Top Tech Jobs & Startup Jobs

Build machine learning infrastructure spanning large-scale data generation, multi-GPU LLM training, training and inference optimization, and production deployment and monitoring. The role also contributes to AI detection research, publications, and technical innovation. Engineers will develop scalable data pipelines, manage distributed systems, deploy efficient LLM inference services, and collaborate across research and engineering teams in an in-person Brooklyn office.

Own Pangram’s product function across its dashboard, Chrome extension, integrations, API, and future surfaces. Set product direction, prioritize engineering work, define design and technical specifications, lead launches, manage customer feedback, conduct user research, and coordinate engineering, growth, and leadership. The role requires strong product judgment, technical fluency in AI, consumer or prosumer experience, and comfort making tradeoffs in an early-stage environment.

Design, build, and scale backend services and APIs for an AI detection platform. Own AWS infrastructure, reliability, performance, observability, data pipelines, caching, and production model serving. Collaborate with machine learning and frontend teams, resolve scaling bottlenecks, and establish best practices for testing, deployment, and incident response.

Serve as the first point of contact for customers, resolving technical support cases across email, chat, and other channels. Troubleshoot product issues, identify trends, report and validate bugs with Product and Engineering, and maintain support documentation and playbooks. Collaborate with Sales on compliance questionnaires, vendor onboarding, and procurement requests while supporting customer satisfaction and the growth of the support function.

Design and maintain large-scale data pipelines to generate synthetic text, manage distributed multi-GPU LLM training infrastructure, profile and optimize training and inference code, and deploy efficient inference pipelines for serving LLMs in production. Collaborate across research and engineering and contribute to publishing research and innovations.

Lead and build the paid acquisition function: run Google Ads end-to-end, launch and test paid social channels (Meta, LinkedIn, TikTok), brief and iterate on creative/copy/landing pages, run weekly experiments, and measure conversions while optimizing CAC, payback, and LTV for consumer and B2B audiences.