Agent Development Manager

Decagon
Toronto
Workplace: OnsiteFull timeCAD 130,000 - 180,000 annuallyFunction: Software EngineeringExperience: 4+ yearsSkills: ["Communication","Problem-solving","Leadership"]

Lead enterprise AI Agent implementations, designing scalable, repeatable deployment processes, and partnering with Sales, Product, and Engineering to translate customer needs into successful implementations. Own the implementation playbook, drive efficiency with automation, and ensure measurable business outcomes for enterprise clients.

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FursaFursa
Decagon
Decagon
3 months ago

Agent Development Manager

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Lead enterprise AI Agent implementations, designing scalable, repeatable deployment processes, and partnering with Sales, Product, and Engineering to translate customer needs into successful implementations. Own the implementation playbook, drive efficiency with automation, and ensure measurable business outcomes for enterprise clients.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Lead enterprise AI Agent implementations from kickoff through rollout, driving execution, adoption, and business outcomes.
  • •Design implementation strategies tailored to each customer’s goals and technical environment.
  • •Build and own the Implementation playbook, including the processes and standards that enable scalable, high-quality deployments.
  • •Improve speed, quality, and consistency across implementations by identifying bottlenecks and introducing better systems, tooling, and automation.
  • •Partner cross-functionally to scope requirements, configure solutions, and feed insights back into Product.

Pay and Benefits

Salary: CAD 130,000 - 180,000 annually
Equity and Bonus:Equity
Perks:MedicalDentalVisionRetirementParental Leave

Key Requirements

  • •4+ years in implementations, consulting, onboarding, project management, or customer-facing technical roles
  • •Experience leading complex software or AI implementations with measurable results
  • •Technical fluency with SaaS platforms, integrations, and APIs
  • •Strong operational instincts with experience building scalable processes or playbooks
  • •Clear communicator who can work effectively with both executives and operators
Experience:4+ yearsAISaaSEnterprise software
Skills:CommunicationProblem-solvingLeadership
Tech Stack:SaaSAPIsIntegrationsAI tools

Company Brief

Decagon
Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2023
Glassdoor
Glassdoor: 3.9
WebsiteLinkedInGlassdoor