NewtonX

HQ
New York
Year Founded: 2016

Jobs at NewtonX

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Recently posted jobs

21 Days AgoSaved
Remote or Hybrid
New York City, NY, USA
Artificial Intelligence • Information Technology • Professional Services • Software
Build and scale Python/Django REST APIs and React UIs, own department-wide technical initiatives, improve test coverage and system reliability, debug technical debt, mentor engineers, and drive architecture and tooling decisions.
21 Days AgoSaved
Remote
USA
Artificial Intelligence • Information Technology • Professional Services • Software
Lead and scale Legal and Compliance functions, manage a 3–4 person team, own contract lifecycle and Ironclad CLM workflows, build compliance programs (MNPI, privacy, SOC 2, GDPR, CCPA), advise leadership, collaborate cross-functionally, and create policies, training, and controls to support growth.
21 Days AgoSaved
Remote or Hybrid
New York City, NY, USA
Artificial Intelligence • Information Technology • Professional Services • Software
Lead development of performant React UIs and Python/Django backend services. Own architecture and org-level initiatives, improve test coverage, resolve technical debt, mentor engineers, and drive secure, scalable system design and best practices across the stack.
21 Days AgoSaved
Hybrid
New York City, NY, USA
Artificial Intelligence • Information Technology • Professional Services • Software
Own creation of data-driven content (blogs, reports, whitepapers), website copy, email campaigns, newsletters, and social posts. Edit AI-generated drafts, maintain brand voice, optimize SEO, and collaborate with Product Marketing, Demand Gen, Sales, and leadership to drive thought leadership and pipeline growth.
21 Days AgoSaved
Remote
USA
Artificial Intelligence • Information Technology • Professional Services • Software
Build and own core LLM infrastructure for two products: self-serve research workflows and automated syndicated intelligence. Implement full-stack features (React/TypeScript front end, Python/Node.js back end), integrate LLMs (OpenAI/Anthropic), design semantic search and RAG pipelines, ensure cloud deployment (AWS, Docker), maintain testing and code quality, and translate user needs into scalable, research-grade AI systems.