Public Sector Delivery Analyst
Ottawa, ONCohere: Cohere is the leading security-first enterprise AI company.
1+ YOECandidates need 1 to 4 years of consulting, professional services or technical delivery experience, with strong delivery discipline and written communication. They must be comfortable leading client sessions, discussing APIs and releases with engineers, and be eligible for a Government of Canada security clearance and based in Ottawa.
PowerPoint, Word, Excel
Legal Counsel, Corporate Governance & Regulatory
Remote in CanadaCohere: Cohere is the leading security-first enterprise AI company.
4+ YOECandidates need a qualified lawyer with about 4 to 8 years of experience from a law firm, an in-house legal team, or both. Strong corporate and cross-border experience is required, with meaningful exposure to foreign investment, export controls, sanctions or trade.
Regulatory compliance, Procurement, Documentation, International trade, Communication skills
Manager, Executive Assistants, Revenue (EST)
Toronto, ONCohere: Cohere is the leading security-first enterprise AI company.
5+ YOE2+ MgmtCandidates need 5+ years as an Executive Assistant and 2+ years managing a high-performing admin team. They must communicate well with C-level stakeholders, handle confidential matters with discretion, and be organized and proactive.
Slack, Google Calendar, Google Sheets, Google Slides
Senior Staff Data Engineer
Toronto, ON +2Cohere: Cohere is the leading security-first enterprise AI company.
10+ YOECandidates need 10+ years in data engineering or analytics platforms, with a strong record leading data platform teams and real hands-on experience before management. Production experience with BigQuery or Snowflake, Airflow, Terraform and dbt-style data modeling is required, along with governance exposure (IAM, VPC service controls) and genuine interest in AI.
BigQuery, Airflow, dbt, Terraform, Looker, Cloud Run
Staff/Senior Staff Software Engineer, Agent Infrastructure
Toronto, ONCohere: Cohere is the leading security-first enterprise AI company.
Candidates need production ML infrastructure experience with strong systems fundamentals, and hands-on work with agentic systems or agent frameworks. Experience with fault-tolerant distributed systems and Kubernetes is also needed, along with a record of moving quickly on prototypes.
Kubernetes, gVisor, Firecracker, Kata, WASM