Sr. Director, Agentic Engineering at Dialpad | San Francisco | Rezi

Sr. Director, Agentic Engineering at Dialpad

Sr. Director, Agentic Engineering

Dialpad · San Francisco

1 months ago

Sr. Director, Agentic Engineering

Dialpad · San Francisco

2 months ago
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About the Role

As the leader of Dialpad's Agentic Engineering organization, you will own the vision, architecture, and execution of our agentic AI platform. You will lead an established organization of approximately 130 engineers across 4 to 8 teams, working closely with Product, Applied Research, and Design leaders to advance a multi-agent orchestration platform. This is a leadership role focused on setting architectural direction and evaluating trade-offs, not day-to-day feature development.

Responsibilities

  • Own the agentic engineering strategy, roadmap, budget, and delivery of Dialpad's agentic platform.
  • Own the health, growth, and succession planning of your organization, managing performance, headcount budgets, and career progression.
  • Build scalable, multi-modal AI agents capable of autonomous reasoning, real-time conversational interaction, and secure tool execution.
  • Build clear multi-team goals, robust QA and regression processes, and operational metrics (KPIs).
  • Build clear job descriptions, leveling guides, and onboarding plans.
  • Partner with the executive team and division leaders to set long-term direction and align the organization with Dialpad's business strategy.
  • Partner with peers in Product, Design, Applied Research, Support, and Finance to understand customer needs and maximize resource ROI.
  • Partner with Talent Acquisition and HR to calibrate hiring bars and recruit top-tier talent.
  • Stay ahead of emerging agent frameworks, LLM inference optimization, advanced retrieval systems, and evolving safety and policy guardrails.
  • Stay ahead of market and industry trends to influence department-wide goals and Dialpad's forward business strategy.

Requirements

  • 12+ years of relevant engineering experience.
  • 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.
  • Experience 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 the following: LLM platforms and inference optimization; Retrieval systems and memory architectures; Agent frameworks; 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: setting clear multi-team goals, using KPIs to drive decisions, and systematically identifying planning risks and tech-debt gaps.
  • People and career leadership: coaching managers, mentoring senior ICs, holding teams accountable, managing performance issues, and championing diversity and inclusion.
  • Strategic planning: managing cross-division dependencies, optimizing multi-million-dollar infrastructure and headcount budgets, and confidently representing the company externally.
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Skills

  • 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
  • People and career leadership
  • Strategic planning

Location

  • San Francisco

Work Type

  • Onsite
  • Full-time

Experience Level

  • 12+ years of relevant engineering experience
  • 5 to 8 years of leadership experience

Education Level

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience

Salary/Compensations

  • $332,000—$387,500 USD

Benefits

  • Competitive salary
  • Comprehensive benefits
  • Real opportunities for growth
  • Cutting-edge AI tools
  • Robust training program

About the Company

  • Dialpad is the AI-native business communications platform, unifying calling, messaging, meetings, and contact center on a single platform powered by AI.
  • More than 70,000 companies globally rely on Dialpad.
  • Dialpad is leading the shift to Agentic AI: intelligent agents that analyze conversations and take action by automating workflows.
  • Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
  • At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day.
  • We believe every conversation matters and have built the platform that turns conversations into insight and action.
  • We look for people who are intensely curious and hold themselves to a high bar.
  • We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Equal Opportunity

  • Dialpad is an equal-opportunity employer.
  • We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.