Technical Program Manager, AI Delivery for Public Sector & Defence

Cohere Cohere · AI Frontier · Ottawa, ON · Product Management & Program Management

Experienced Technical Program Manager to lead AI delivery for Canadian public sector and defence accounts. This role requires understanding technical program delivery, frontier AI models, and government requirements, including procurement, security, data sovereignty, and regulatory compliance. The TPM will bridge Cohere's AI capabilities with government needs, collaborating with various internal teams and serving as a technical lead for sensitive engagements.

What you'd actually do

  1. Own end-to-end technical program delivery for Canadian public sector and defence customers, from initial deployment through production scaling
  2. Serve as the primary technical program point of contact for government customers, building trusted relationships with departmental CIOs, IT directors, and technical teams
  3. Translate complex government requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans
  4. Navigate government procurement processes, RFP responses, and contractual technical obligations.
  5. Provide clear, timely, and objective communication across Cohere's engineering organization, customer stakeholders, and government leadership

Skills

Required

  • 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery.
  • Excellent executive communication and stakeholder management.
  • Experience working with government, defence, or heavily regulated customers (public sector, defence contractors).
  • Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements.
  • Bachelor’s degree in a relevant field
  • Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped)
  • Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders.
  • Deep understanding of how government organizations procure, evaluate, and deploy technology
  • Familiarity with Canadian government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications
  • Understanding of defence and national security considerations in AI deployment
  • Eligible to obtain Canadian government security clearance

Nice to have

  • advanced degree or technical certs
  • Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI
  • Experience with Algorithmic Impact Assessments or AI ethics frameworks

What the JD emphasized

  • technical program delivery
  • frontier AI models
  • government and defence organizations
  • complex procurement processes
  • stringent security requirements
  • data sovereignty concerns
  • regulatory compliance
  • government engagements
  • Active Top Secret clearance strongly preferred
  • customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery
  • government, defence, or heavily regulated customers
  • complex, multi-stakeholder technical programs with stringent compliance requirements
  • modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI
  • government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications
  • defence and national security considerations in AI deployment
  • Algorithmic Impact Assessments or AI ethics frameworks

Other signals

  • customer-facing
  • technical program delivery
  • government and defence organizations
  • AI solutions
  • AI/ML consulting
  • enterprise software delivery
  • complex, multi-stakeholder technical programs
  • stringent compliance requirements
  • modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI
  • API integrations, model inference, data pipelines, and ML operations
  • Canadian government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications
  • defence and national security considerations in AI deployment
  • Algorithmic Impact Assessments or AI ethics frameworks