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 a core technical leader within our Agentic AI initiatives, you will shape the vision, architecture, and execution of Dialpad’s next-generation AI platform, moving the industry beyond passive copilots into autonomous workflow execution. Working closely with Product, Applied Research, Design, and executive leadership, you will build production-grade systems where AI agents reason, act, coordinate, and safely execute workflows.
You will help pioneer an advanced multi-agent orchestration framework capable of real-time conversational reasoning and tool execution over massive enterprise datasets, while fostering an AI-native engineering culture.
What You’ll Do- Drive Technical Strategy: Own the architectural roadmap and delivery of Dialpad’s Agentic infrastructure, core orchestration layers, memory architectures, and evaluation/observability systems.
- Build & Scale: Design and deploy scalable, multi-modal AI agents capable of autonomous support, real-time voice reasoning, and secure API tool execution across complex enterprise workflows.
- Mentor & Influence: Act as a technical anchor for the organization, raising the engineering bar, mentoring senior peers, and defining technical standards for an AI-native SDLC.
- Partner Cross-Functionally: Collaborate with leadership across Product, Engineering, and Applied Research to align technical execution with Dialpad’s long-term business strategy.
- Push the Frontier: Research and implement emerging agent frameworks, LLM inference optimization, advanced retrieval systems, and cutting-edge safety/policy guardrails to keep Dialpad at the absolute forefront of the "era of the agent."
- Experience: 8+ years of relevant software engineering experience, with a proven track record of technical leadership (as a Senior, Staff, or Principal Engineer) shipping complex, large-scale systems.
- Systems Background: Strong foundations in scaling distributed systems and production-grade infrastructure before evolving into applied AI, LLM platforms, and agentic architectures.
You have shipped production systems where AI agents reason, act, coordinate, and safely execute workflows. You bring deep expertise in:
- 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.
- Operational Excellence: Experience setting clear technical goals, identifying architectural risks, and systematically clearing tech-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.
Why Join Dialpad
- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee’s impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Skills Required
- 8+ years of relevant software engineering experience with proven technical leadership (Senior/Staff/Principal)
- Experience scaling distributed systems and production-grade infrastructure
- Shipped production systems where AI agents reason, act, coordinate, and safely execute workflows
- Expertise in LLM platforms, inference optimization, and fine-tuning strategies
- Experience building advanced retrieval systems and memory architectures
- Hands-on experience with agent frameworks (LangChain, LangGraph, CrewAI, AWS/Google agent ecosystems)
- Experience with AI Ops, evaluation, observability, and safety/policy guardrails for production AI
- Experience with real-time streaming infrastructure and voice/conversational AI
- Tool integration, API execution frameworks, and human-in-the-loop validation systems
- Proven ability mentoring senior peers, setting technical standards, and driving architectural roadmaps
Dialpad Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dialpad and has not been reviewed or approved by Dialpad.
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Fair & Transparent Compensation — Compensation is viewed as competitive across many roles, combining salary, bonuses, equity, and benefits into a well-rounded package. Overall satisfaction with pay and total compensation is characterized as positive.
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Leave & Time Off Breadth — Paid time off is described as generous, with an unlimited PTO policy highlighted as a standout element. This breadth of time off is positioned as a central strength of the benefits package.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, vision, disability, life insurance, and mental health benefits. Such coverage depth is presented as a core strength of the overall package.
Dialpad Insights
What We Do
Dialpad is a cloud-based business phone system that turns conversations into opportunities and helps global teams make smarter calls--anywhere, anytime. We bring simplicity to the professional phone experience and some of the world’s most innovative companies use our platform. Dialpad's products span video meetings, cloud call centers, sales coaching and dialers and enterprise phone systems--and are all infused with the latest AI technologies to help every business make smarter calls. Customers include WeWork, Uber, Motorola Solutions, Domo and Xero. Investors include Amasia, Andreessen Horowitz, Felicis Ventures, GV, ICONIQ Capital, Salesforce Ventures, Scale Venture Partners, Section 32, Softbank and Work-Bench.
