Engineering Manager
Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve.
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.
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 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.
This position reports directly to our Senior Director of Engineering and has the opportunity to be based in our San Francisco office.
What You’ll Do
Posted July 29, 2026