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Sr. Director, Agentic Engineering

Lead Dialpad's Agentic Engineering organization of ~130 engineers to build and scale multi-agent AI platforms that reason, act, and execute real-time workflows. Requires 12+ years experience including 5-8 years leading large engineering teams, deep expertise in LLM/agentic architectures, and strong strategic/people leadership.

332k – 388kSan Francisco, CAEngineering ManagementOnsite12+ YOE

About the role

Responsibilities

  • Own the agentic engineering strategy, roadmap, budget, and delivery of Dialpad's agentic platform, including orchestration layers, memory architectures, tool-use and API-execution frameworks, and evaluation, observability, and safety systems.
  • Own the health, growth, and succession planning of the organization (~130 engineers), managing performance, headcount budgets, and career progression for managers and senior IC architects.
  • Build scalable, multi-modal AI agents capable of autonomous reasoning, real-time conversational interaction, and secure tool execution across complex enterprise workflows.
  • Establish clear multi-team goals, robust QA and regression processes, and operational metrics (KPIs) that hold the platform to enterprise standards.
  • Create clear job descriptions, leveling guides, and onboarding plans to sustain a diverse, high-performing engineering organization.
  • Partner with the executive team and division leaders to set long-term direction, communicate changes, and align with wider business strategy.
  • Collaborate with peers in Product, Design, Applied Research, Support, and Finance to understand customer needs, maximize resource ROI, and eliminate cross-team friction.
  • Work with Talent Acquisition and HR to calibrate hiring bars, recruit top-tier talent, and extend competitive offers.
  • Stay ahead of emerging agent frameworks, LLM inference optimization, advanced retrieval systems, and evolving safety and policy guardrails.
  • Monitor market and industry trends to influence department-wide goals and Dialpad's forward business strategy.

Requirements

  • 12+ years of relevant engineering experience, including 5 to 8 years of leadership experience, with a proven track record of growing teams, developing managers, and steering an organization of 100+ engineers.
  • Experience scaling distributed systems and production-grade infrastructure, then evolving into applied AI, LLM platforms, and agentic architectures.
  • Shipped production systems where AI agents reason, act, coordinate, and safely execute workflows.
  • Depth in several of: LLM platforms and inference optimization; retrieval systems and memory architectures; agent frameworks (e.g., LangChain/LangGraph, CrewAI, AWS/Google agent ecosystems); evaluation, observability, and safety frameworks for AI systems; real-time streaming infrastructure and conversational AI; tool use, API-execution frameworks, and human-in-the-loop systems.
  • Operational excellence in setting multi-team goals, using KPIs, and identifying planning risks and tech-debt.
  • People and career leadership: coaching managers, mentoring senior ICs, healthy OKRs, managing performance, championing diversity.
  • Strategic planning: managing cross-division dependencies, optimizing multi-million-dollar budgets, representing the company externally.
  • Bachelor's degree in Computer Science or related field, or equivalent practical experience.

Nice-to-Haves

  • Experience with multi-agent orchestration platforms performing real-time conversational reasoning and tool execution over large-scale data.

Skills

Agentic AILlm PlatformsInference OptimizationRetrieval SystemsMemory ArchitecturesLangChainLangGraphCrewaiEvaluation FrameworksObservabilitySafety FrameworksReal-Time StreamingConversational AITool UseApi Execution

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