Top Tech Jobs & Startup Jobs in NYC, NY

Conduct research and engineering for AI-generated content detection models. Responsibilities include training large-scale deep learning models, creating synthetic datasets, developing novel detection methods, researching adversarial robustness and interpretability, publishing technical work, deploying models, building infrastructure, and collaborating with engineering and product teams.

Design, build, and scale backend services and APIs powering Pangram’s AI detection platform. Own AWS infrastructure, reliability, performance, observability, data pipelines, caching, and production model-serving integrations. Resolve scaling bottlenecks, establish engineering best practices for testing and deployment, and improve incident response. Collaborate with frontend and machine learning teams in a high-autonomy, on-site role.

Manage inbound enterprise sales opportunities from qualification through close. Conduct discovery calls and product demonstrations, coordinate pilots, develop proposals, negotiate commercial terms, close new business, and maintain accurate pipeline forecasts. Partner with Customer Success on account transitions, improve sales messaging and processes, and provide customer and market feedback to leadership. The role requires strong communication, organization, relationship-building, quota performance, and the ability to learn a technical AI product.

Own product direction across web, Chrome extension, integrations, and API surfaces. Prioritize engineering work, translate product vision into specifications, lead launches, triage customer feedback, conduct user research, and coordinate engineering, growth, and leadership. The role requires strong product management experience, consumer or prosumer exposure, technical fluency with AI, customer-facing skills, and proficiency with AI automation and design tools.

Build machine learning infrastructure spanning large-scale data generation, distributed multi-GPU training, model optimization, and production LLM inference. The role also contributes to ML research and innovation, requiring strong Python and modern ML framework skills, transformer and LLM knowledge, and comfort bridging research and engineering. Preferred experience includes CUDA, distributed training, vLLM, Spark, Beam, Airflow, MLOps, DevOps, and cloud infrastructure.