Top Tech Jobs & Startup Jobs

Drive product positioning, messaging, and go-to-market plans for CoCounsel Legal. Lead cross-functional launches, sales enablement, customer advocacy, content and campaign creation, and market/competitive research to grow awareness, adoption, and advocacy in the AI legal market.

Manage a focused portfolio of enterprise legal customers for the CoCounsel AI suite. Drive adoption, value realization, retention, and expansion using Customer Success Plans, EBRs, enablement, and cross-functional collaboration. Act as a product expert at events, create scalable playbooks, and use tools (Gainsight, Salesforce, Gong) to manage forecasts and at-risk accounts. Partner with Sales and Professional Services to deliver measurable outcomes.

Lead the design and delivery of AI solutions for legal professionals. Mentor engineers, establish AI engineering practices, and ensure scalable architecture and quality across systems.

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

As Engineering Manager, you will manage a technical team, drive technical strategy, mentor developers, and ensure effective product delivery while aligning with organizational goals.

Lead design, build, and deploy large-scale search and information retrieval systems for legal and enterprise content. Own indexing, ingestion, ranking and re-ranking, semantic and hybrid retrieval, LLM-enhanced RAG architectures, evaluation frameworks, and production optimization. Mentor scientists, drive technical decisions, and partner with engineering to deliver reliable, scalable search services.

Lead full stack initiatives at Materia AI, developing AI-powered software for accounting with a focus on building user-centric applications and robust back-end systems.

Lead design and delivery of enterprise-scale AI systems (including RAG and multi-agent architectures), drive AI strategy and POCs, embed solutions with business units, mentor engineers, establish MLOps/LLMOps practices, and scale prototypes into production.

As a Generative AI & Machine Learning Engineer, you'll manage AI/ML product development, support model lifecycle, and ensure solutions meet customer needs, fostering collaboration and innovation.