Own product marketing for CoCounsel Legal: develop positioning and messaging, execute go-to-market plans, enable sales and customer advocacy, create marketing assets, run launches, and engage communities to drive awareness, adoption, and growth.

Support product team by assessing customer problems, conducting research and competitive analysis, prioritizing backlog, measuring product performance, and owning features with mentorship to grow into a PM.

The Customer Success Manager ensures customer satisfaction, drives retention, and identifies growth opportunities, managing relationships and monitoring progress using data-driven insights.

The Senior Applied Scientist will develop and manage AI solutions for Thomson Reuters, focusing on machine learning, NLP, and information retrieval to drive product innovation. They will collaborate with product teams and stakeholders, ensuring technical alignment with business goals.

As a Senior Research Engineer, you will develop ML solutions, build scalable systems, collaborate with teams, and innovate within the field of AI. You will apply modern software practices and contribute to all stages of software development, driving digital transformation and improving customer experience.

Lead and deliver applied NLP/IR/GenAI solutions across the product lifecycle: ideation, PoC, production scaling, and iteration. Manage stakeholder engagement, mentor scientists/engineers, design evaluations, and align research with business objectives to drive LegalTech product innovation.

Client-facing consultant who discovers client needs, designs AI-enabled legal workflows with CoCounsel, configures SaaS instances, manages implementations end-to-end, produces SoWs and project costing, and provides onboarding, training, documentation, and ongoing support to corporate legal teams.

Design and implement AI-driven systems (RAG, agents), integrate models into production via APIs and data pipelines, prototype new techniques, lead technical design and MLOps/LLMOps efforts, mentor engineers, ensure testing/monitoring and compliance, and collaborate with cross-functional teams to optimize performance.

As a Business Design Architect, you'll drive transformation by analyzing business challenges, designing operational processes, leading workshops, and ensuring project alignment across teams.

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.

Design and build full‑stack, agent‑first web applications and scalable cloud-native APIs; partner with AI Engineers to integrate models and data flows; lead architecture, mentor engineers, rapidly prototype AI interaction models, and drive cross-functional delivery.

Lead technical workstreams to design, build, and deploy scalable ML/NLP systems. Develop data pipelines, productionize models, mentor engineers, and collaborate cross-functionally to deliver high-quality, cloud-native solutions.

The Senior Research Engineer develops scalable AI solutions, manages software lifecycle, and collaborates on deep learning projects while ensuring timely delivery and innovation.

As a Senior Software Engineer, you will develop AI-powered systems to enhance accounting workflows, build backend services, and ensure optimal performance and reliability of AI solutions.

As a Senior Product Engineer, you'll develop AI-driven software, manage full-stack development, optimize performance, and collaborate across functions to enhance workflows for accounting professionals.

The Senior Product Manager will lead SEO, AEO, and GEO strategies, collaborating with teams to enhance digital platforms and drive organic traffic and engagement.

The Lead Applied Scientist innovates and drives AI solutions by leading cross-functional teams, mentoring others, and applying machine learning and NLP expertise to enhance products.

As Lead Applied Scientist, you will innovate and deliver AI solutions for document understanding, ensuring accountability for research deliverables and optimizing capabilities while guiding technical direction and mentoring team members.

Lead and manage a research team focused on foundational ML research and development, particularly for LLMs, in collaboration with academic partners. The role involves strategic planning, innovation, and contributions to high-quality research publications.

The Lead Research Engineer develops AI methodologies, delivers high-quality solutions, leads teams, and engages in cross-functional collaboration in a dynamic environment.