Director of Agent Deployment Engineering

Decagon
San Francisco
Workplace: OnsiteFull timeUSD 250,000 - 320,000 annuallyFunction: Executive & General ManagementSkills: ["Leadership","Communication","Problem-solving","Team-building"]

Lead and scale a high-performing delivery organization delivering enterprise AI agent deployments, while building the Agent Builder team, playbooks, and operating system to scale. Drive executive engagements, define success criteria with senior stakeholders, and shape the platform roadmap through delivery insights in a fast-moving, customer-facing environment.

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FursaFursa
Decagon
Decagon
7 months ago

Director of Agent Deployment Engineering

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Lead and scale a high-performing delivery organization delivering enterprise AI agent deployments, while building the Agent Builder team, playbooks, and operating system to scale. Drive executive engagements, define success criteria with senior stakeholders, and shape the platform roadmap through delivery insights in a fast-moving, customer-facing environment.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Executive & General Management
Seniority: Sr. Director level

Key Responsibilities

  • •Lead and scale a high-performing delivery org; own end-to-end execution of AI agent deployments for enterprise customers across a portfolio, from scoping through launch and iteration.
  • •Interface with senior technical stakeholders and executives to define success criteria, align on constraints (security/compliance), and drive delivery against timelines.
  • •Lead complex escalations and unblock cross-functional teams when quality, timelines, or customer outcomes are at risk.
  • •Translate customer needs into crisp internal documentation and execution plans across Product/Engineering/GTM.
  • •Define and standardize delivery methodologies and artifacts; establish best practices for evaluation and guardrails to ensure safe, compliant, and predictable agent performance in real-world scenarios.

Pay and Benefits

Salary: USD 250,000 - 320,000 annually
Equity and Bonus:Equity
Perks:MedicalDentalVisionPaid LeaveMeal Allowance

Key Requirements

  • •10+ years of relevant experience in technical, customer-facing roles (e.g., forward-deployed engineering, solutions engineering, technical consulting, implementation engineering, technical product/PM, or similar).
  • •5+ years of people management experience, including hiring, coaching, performance management, and building high-performing teams; ideally experience leading senior ICs and/or managers.
  • •Strong technical foundation—comfortable working with APIs, integrations, and complex systems; able to go deep to diagnose issues and guide solution architecture.
  • •Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration.
  • •Ability to communicate clearly with senior technical stakeholders, translate requirements into execution plans, and drive delivery.
Skills:LeadershipCommunicationProblem-solvingTeam-building
Tech Stack:APIsIntegrationsLLMAICloudPlatform

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