Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a Tech Lead Manager on our Agentic AI initiatives, you will play a hybrid leadership role across technical direction, execution, and people management. You will help shape and deliver Dialpad’s next-generation AI platform, building production-grade systems where AI agents reason, act, coordinate, and safely execute workflows. Working closely with Product, Applied Research, Design, and Engineering leadership, you will lead a small team of engineers while remaining deeply involved in architecture, technical decision-making, and delivery. This role is ideal for a leader who can alternate between hands-on technical leadership and engineering management, helping the team move from concept to reliable production systems. You will contribute to the development of multi-agent orchestration frameworks capable of real-time conversational reasoning and tool execution over large enterprise datasets, while fostering a strong AI-native engineering culture.

Responsibilities

Own the technical direction and execution for a meaningful area of Dialpad’s agentic AI platform, including memory architectures, retrieval systems, and evaluation or observability capabilities.
Stay close to the code and design work, contributing hands-on where needed to unblock the team, accelerate critical efforts, and maintain a high technical bar.
Help design and deploy scalable AI systems that support autonomous assistance, real-time voice reasoning, and secure API or tool execution across enterprise workflows.
Lead and grow a small team of engineers through coaching, feedback, career development, and performance management.
Create clarity around priorities, ownership, and execution, and help the team operate effectively through ambiguity.
Partner on hiring and onboarding to build a strong, high-performing team.
Collaborate with leadership across Product, Engineering, and Applied Research to align technical execution with Dialpad’s long-term business strategy.
Evaluate emerging agent frameworks, inference optimization techniques, retrieval approaches, and safety guardrails, and apply them where they create meaningful product or platform advantage.
Establish strong engineering practices across design review, operational readiness, testing, quality, and AI safety.
Mentor engineers and tech leads, reinforce sound technical judgment, and help define standards for an AI-native software development lifecycle.

Requirements

10+ years of relevant software engineering experience, with a proven track record of technical and engineering leadership (as a Tech lead or a first line manager) shipping complex, large-scale systems.
Experience in AI, ML platforms, LLM systems, or agentic architectures is strongly preferred.
Strong foundations in scaling distributed systems and production-grade infrastructure before evolving into applied AI, LLM platforms, and agentic architectures.
Ability to lead and grow a small group of engineers.
Shipped production systems where AI agents reason, act, coordinate, and safely execute workflows.
Technical leadership: Ability to set direction for a team, identify key architectural risks, and guide execution without losing sight of detail.
People leadership: Ability to coach engineers effectively, give clear feedback, manage performance, and support career growth.
Operational excellence: Ability to create clarity, define measurable goals, and systematically close quality, reliability, and technical debt gaps.
The 0→1 Archetype: Ability to thrive in ambiguity, build cutting-edge AI products from the ground up, and scale them into robust, self-sustaining enterprise systems.

Skills

LLM Platforms: Inference optimization and fine-tuning strategies.
Data & Retrieval: Advanced retrieval systems and memory architectures.
Agent Frameworks: Hands-on experience with frameworks like LangChain/LangGraph, CrewAI, or AWS/Google Agent ecosystems.
AI Ops: Evaluation, observability, and safety frameworks for production AI systems.
Real-Time Infrastructure: Streaming infrastructure and voice/conversational AI.
Tool Integration: Tool use, API execution frameworks, and human-in-the-loop validation systems.

Location

San Francisco

Work Type

Onsite

Experience Level

10+ years

Salary/Compensations

$249,500—$273,500 USD

Benefits

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

About the Company

Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital.
Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.
Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve.
Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved.
Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad.
Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.
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.
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.

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.