Top Tech Jobs & Startup Jobs

The Senior Applied Scientist will design, build, and deploy AI solutions for document understanding in the legal domain, leveraging NLP and deep learning methodologies. This role involves collaborating with product teams, advancing model capabilities, and ensuring robust training and evaluation methodologies.

The Principal Engineer will design scalable backend services and APIs, optimize performance, and improve developer experience while collaborating with AI/ML experts and legal specialists.

As a Staff Software Engineer, you'll design scalable backend services, oversee architecture decisions, optimize performance, and enhance CI/CD processes while collaborating with teams.

The Staff Software Engineer will lead the design and implementation of the ingestion and indexing pipeline for a search platform, ensuring operational health and scalability while leveraging distributed systems and AI technology.

Lead architecture and implementation of AI-first backend and orchestration systems for Audit Suite. Drive scalable, reliable AI workflows (LLM integration, retrieval, vector stores), mentor engineers, set technical direction, and collaborate across product, design, and ML to deliver auditable, high-throughput document-centric solutions.

The Customer Success Manager maintains post-sale relationships, drives product adoption, manages renewals, and identifies upsell opportunities while collaborating with internal teams for customer satisfaction.

Lead architecture and implementation of CoCounsel's backend, AI orchestration, and identity systems. Define AI-native patterns, ensure scale, reliability, and security for production LLM/agent workflows, mentor engineers, and collaborate across product, ML, platform, and security teams to deliver auditable legal AI solutions.

Lead and coach an enterprise account executive team to drive revenue, renewals, and new customer acquisition for corporate SaaS accounts. Develop account management and go-to-market strategies with cross-functional partners, set KPIs, analyze performance metrics, manage forecasting in Salesforce, and improve processes to meet sales targets and retention goals while reporting results to executive leadership.