Engineering Manager, Ai
Dialpad is the leading Ai-Powered Customer Intelligence Platform that is transforming how the world works together. Based on 4 billion minutes of analyzed voice and meetings data and growing, we have designed one, beautiful workspace that seamlessly combines the most advanced Ai Contact Center, Ai Sales, Ai Voice, and Ai Meetings with Ai Messaging. More than 30,000 innovative brands and millions of people use Dialpad to unlock productivity, collaboration, and customer satisfaction with real-time Ai insights. With initial funding and leadership from Google and leading venture capitalists such as ICONIQ and Andreessen Horowitz, Dialpad has over $200M in ARR and is one of the fastest growing Ai companies in the world.
About The Team:
Dialpad’s Ai Engineering team works centrally alongside Data Science, Telephony, and Product Engineering teams to build Ai That Works. Engineers on this team leverage a broad skill set ranging from Distributed Systems Engineering, DevOps, MLOps and Data Engineering to deliver and scale Dialpad’s Ai products.
Your Role:
In this high impact role as an Engineering Manager, you will lead, grow, and nurture the software engineering team that owns real-time transcription inference, ML inference, and LLM scalability by collaborating with other leaders at Dialpad. You will help to direct the teams’ efforts including career coaching, resource allocation, planning, and technical contributions. Our teams are growing fast and are globally distributed, so we are looking for leaders who are awesome human beings, great communicators, excellent strategists, strong technologists, and dreamers!
This position reports to our Chief Ai Officer adjacent to peer Engineering Managers on the Ai Engineering team. This position has the opportunity to be based in the Buenos Aires, Argentina Office with the ability to work remotely in the local area.
What You’ll Do:
You’ll have direct reports ranging from junior-level to highly experienced engineers, and will support their performance and career growth through regular one-on-ones, performance reviews, coaching, and mentoring.
- Consistently work with your direct reports to support their career growth
- Participate in evaluating architecture choices on an ongoing basis, in anticipation of increased scale and ever-evolving technology to meet the demands of a rapidly growing business needs
- Work with geographically distributed peer engineering managers, as well as technical leads, to align engineering-wide priorities
- Own large projects end-to-end including requirements gathering, planning, resource allocation, and sometimes execution
- Define, prioritize, and facilitate technical design execute infrastructure development discussions and map functional requirements, roadmaps to technical designs and project schedules and team roadmaps
- Build new tools and services to help make feature development at Dialpad as easy as possible.
- Drive effective engineering processes and policies
- Scale the team by recruiting candidates from diverse backgrounds
Skills You’ll Bring:
- 2+ years experience leading a high-performing team of engineers, including managing and shipping cross-functional or multi-team projects
- 5+ years of technical engineering experience building distributed systems, or related field
- Experience in Python, GitHub/VCS, CI/CD, Kubernetes, Docker, DevOps, GCP/Cloud
- Experience partnering closely with Data Science teams
