Top Tech Jobs & Startup Jobs in Montreal

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

Evaluates and improves large language model safety by labeling, ranking, auditing, and refining human- and model-generated content. Creates prompts, adversarial examples, and safety test cases; applies detailed guidelines to sensitive and ambiguous content; identifies annotation inconsistencies and provides calibration feedback. The role requires precision, emotional resilience, strong written English, independent remote work, and potential exposure to explicit, violent, sexual, or psychologically disturbing material.

Lead the deployment of North in private cloud environments, collaborating with IT teams, designing strategies, and resolving technical issues.

Build and maintain Cohere’s public website using Next.js, TypeScript, and Tailwind. Develop polished, growth-focused pages, marketing features, CMS schemas, and content workflows with Sanity. Collaborate with engineers, designers, marketing, and content editors while improving site performance and reliability. Use AI coding tools responsibly and deliver production-quality code.

Manages and mentors the backend and full-stack engineering team responsible for Cohere inference APIs, SDKs, Dashboard, and developer experience. Oversees API capabilities, model releases, customer-facing team management, billing and configuration workflows, and open-source projects. Collaborates with modeling, model serving, UX, and other stakeholders while contributing as a hands-on technical leader. The role emphasizes engineering delivery, team growth, recruiting, communication, documentation, and scaling AI products.

Lead Cohere’s Data Foundation pillar, managing a team responsible for the full data lifecycle. Own the roadmap, BigQuery warehouse, Airflow and Cloud Run orchestration, dbt modeling, Looker and API serving, Terraform infrastructure, governance, access controls, reliability, incident response, and data freshness SLAs. Lead development of an agentic analytics platform and evaluation framework, establish company-wide analytics standards, and partner with product, engineering, security, legal, and business teams.

Leads public-sector sales strategy, revenue growth, market expansion, and go-to-market execution across North America. Manages and coaches the public-sector sales team, builds relationships with government decision-makers, agencies, prime contractors, and partners, and closes high-value consultative deals. Collaborates with Marketing, Product, Engineering, and global teams on customer implementations and best practices. Represents the company at industry events and coordinates sales efforts in a matrixed environment.

Design and scale Cohere’s Model Vault backend and inference platform. Lead architecture for authentication, deployments, billing, metering, customer lifecycle, and cloud control-plane services. Build reliable distributed systems with strong guarantees for security, privacy, consistency, isolation, observability, and failure recovery. Drive technically complex initiatives from threat modeling and architecture through implementation, production rollout, operations, and iteration at enterprise scale.

Build and maintain Cohere’s user-facing Dashboard across browser and server environments. Responsibilities include developing resilient, mission-critical systems, crafting intuitive product experiences, collaborating with engineers and stakeholders, removing technical roadblocks, documenting designs, and adopting technologies that improve performance and reliability.

Chief of Staff supporting the Chief AI Officer by managing organizational planning, operating rhythms, budgets, headcount, business reviews, cross-functional dependencies, and strategic initiatives. The role coordinates research, modeling, product, delivery, security, finance, and other teams to ensure priorities are aligned and programs ship effectively. It also leads special projects, facilitates executive communication, resolves ownership and trade-off issues, and represents the AI organization in high-stakes discussions.