Sr. Director, Agentic Engineering

Responsibilities

• Own
• The agentic engineering strategy, roadmap, budget, and delivery of Dialpad's agentic platform, including its orchestration layers, memory architectures, tool-use and API-execution frameworks, and evaluation, observability, and safety systems.
• The health, growth, and succession planning of your organization, managing performance, headcount budgets, and career progression for both 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.
• Clear multi-team goals, robust QA and regression processes, and operational metrics (KPIs) that hold the platform to enterprise standards of quality and reliability.
• 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 the organization with Dialpad's wider business strategy.
• Peers in Product, Design, Applied Research, Support, and Finance to understand customer needs, maximize resource ROI, and eliminate cross-team friction and duplication.
• Talent Acquisition and HR to calibrate hiring bars, recruit top-tier talent, and extend competitive, equitable offers.
• Stay ahead of
• Emerging agent frameworks, LLM inference optimization, advanced retrieval systems, and evolving safety and policy guardrails, keeping Dialpad's platform at the frontier.
• Market and industry trends, using deep domain awareness to influence department-wide goals, milestones, and Dialpad's forward business strategy.
• Skills you'll bring
• 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.
• A core technical signal: you have shipped production systems where AI agents reason, act, coordinate, and safely execute workflows. You bring depth in several of the following:
• LLM platforms and inference optimization.
• Retrieval systems and memory architectures.
• Agent frameworks (e.g., LangChain/LangGraph, CrewAI, AWS/Google agent ecosystems

Benefits

Additional Information

About Dialpad Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time. More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. We're now leading the shift to Agentic AI: intelligent agents that don't just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more. Being a Dialer At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As the leader of Dialpad's Agentic Engineering organization, you will own the vision, architecture, and execution of our agentic AI platform: systems where AI agents reason, act, coordinate, and safely execute workflows in production. You will lead an established organization of approximately 130 engineers across 4 to 8 teams and sub-teams, working closely with Product, Applied Research, and Design leaders to advance a multi-agent orchestration platform that performs real-time conversational reasoning and tool execution over large-scale data. This is a leadership role first. We are looking for someone who understands what the right agentic architecture looks like, holds a high bar for quality and reliability, and grows the managers and senior architects who carry the work. You will not be writing production features day-to-day, but we expect you to be technical enough to set architectural direction, evaluate hard trade-offs, and get into the code when it sharpens your judgment. This is an onsite position based in our San Francisco office, reporting to the Chief Technology Officer.

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