Top Tech Jobs & Startup Jobs in NYC, NY

Build and operate software, APIs, Kubernetes controllers, Terraform modules, and GitOps automation for production AI infrastructure. Responsibilities include managing multi-cloud Kubernetes fleets, automating cluster provisioning and upgrades, supporting GPU capacity, improving observability and reliability, and partnering with infrastructure teams from design through adoption.

Senior commercial attorney responsible for leading enterprise contracting and complex negotiations with large, regulated, and AI-native customers. The role partners closely with Sales, Finance, Security, Engineering, Product, and Governance teams; develops legal positions for AI, cloud, data protection, and operational resilience matters; structures non-standard deals; creates scalable templates and playbooks; and mentors the legal team. Candidates need substantial technology transactions experience, active bar membership, regulatory knowledge, and the ability to translate technical products into practical legal terms.

Own and negotiate strategic partnership, licensing, distribution, and technology agreements for an AI infrastructure company. Advise Partnerships and GTM teams on model licenses, integrations, regulatory developments, and novel AI legal issues. Build templates and playbooks, mentor team members, and support enterprise deals, M&A, and other strategic transactions.

Own the developer experience for AI model training jobs, including environment setup, submission, scheduling, monitoring, debugging, checkpointing, and recovery. Partner with infrastructure, research, engineering, and customers to simplify distributed training, support supervised fine-tuning and reinforcement learning workloads, connect training with evaluation and inference deployment, and turn complex infrastructure capabilities into reliable product workflows.

Own pricing and monetization strategy across Baseten’s AI infrastructure products, including inference, training, sandboxes, and reserved capacity. Design usage-based pricing models, analyze costs and customer behavior, improve purchasing and billing experiences, and partner with engineering, finance, sales, and product teams to launch pricing changes. The role focuses on increasing adoption, revenue, and unit economics while making complex AI infrastructure pricing transparent and easy to understand.

Owns product development for AI inference performance capabilities, partnering with inference engineers, researchers, and customers. Translates advances in batching, caching, quantization, speculative decoding, and serving architectures into configurable production features. Defines benchmarks, evaluates latency, throughput, quality, and cost, prioritizes customer-focused optimizations, and supports release readiness, compatibility, regression testing, and adoption.

Own the product strategy and roadmap for Baseten’s AI inference experience. Lead efforts to help developers discover, evaluate, deploy, optimize, and operate models through APIs, SDKs, CLI tools, and console products. Partner with engineering, research, GTM, leadership, and customers to prioritize capabilities, translate inference advances into products, and drive adoption, revenue, pricing, packaging, and successful launches.

Own the Grid product roadmap, an AI model-routing platform that automatically selects models to optimize quality, speed, and cost. Partner with engineers, researchers, customers, and GTM teams to develop routing policies, evaluation frameworks, developer experiences, observability, controls, and production deployments. Drive adoption, enterprise expansion, and measurable customer outcomes while addressing technical challenges such as tool compatibility, retries, conversation history, prompt caching, and routing overhead.

Build financial models and reporting across revenue, margins, compute costs, headcount, pricing, and strategic investments. Partner with executives and cross-functional leaders on targets, unit economics, deals, scenario planning, board materials, and fundraising analyses. Develop scalable finance systems, dashboards, and processes while providing recommendations in an ambiguous, high-growth AI infrastructure environment. Senior hires may lead major finance areas and develop teams.

Leads and mentors a team of Solution Architects while remaining hands-on with customer discovery, technical scoping, demos, proofs of concept, AI model deployments, benchmarking, and inference optimization. Partners with Sales, Product, Infrastructure, and Engineering to deliver reliable, cost-efficient, low-latency generative AI applications. Guides deployment strategies across LLMs, embeddings, image, video, and voice models, while coordinating timelines, stakeholders, and technical execution.