Engineering Manager, AI Voice Scheduling — Hybrid

Francisco Partners; New York (NY); Hybrid; USD 210,000 - 270,000; Full time

Benefits offered by this job

Flexible, hybrid work environment

Unlimited Vacation

100% paid employee health benefits

Commuter Benefits

401(k) with employer match

Wellness program

Sabbatical leave

Parental leave

Phone reimbursement

Catered lunch and snacks

Employee Resource Groups

Great Place to Work certification

Job summary

Zocdoc is seeking an Engineering Manager for Zo, our AI phone assistant. You will lead an experienced engineering team building a scalable, secure, and high‑performing platform that schedules 24/7 using natural language.

You will guide technical strategy, mentor engineers, and collaborate with Product, Sales, Data, and Ops to deliver value. You will work with cutting-edge voice AI tools, integrate with EHR systems, and own delivery of features across microservice architectures on AWS; a strong

Qualifications

• Experience shipping features for consumer-facing AI products.
• Strong background in software development methodologies.
• Experience with microservice architectures and cloud environments.
• Proven ability to lead and mentor teams to deliver high-quality software.

Responsibilities

• Lead, manage, and grow a team of software engineers to deliver reliable software.
• Partner with product, design, and commercial teams to build a clear technical strategy and roadmap.
• Help shape engineering culture, build career ladders, and foster inclusion.

Skills

Entrepreneurial mindset

Ownership/bias to action

Team leadership

Communication

Collaboration

AI product experience

Software engineering

Mentoring

System design

Ownership of roadmaps

Tools

AWS

React/JS

C#

Python

Job description

Zocdoc is seeking an Engineering Manager for Zo, our AI phone assistant. You will lead an experienced engineering team building a scalable, secure, and high‑performing platform that schedules 24/7 using natural language.

You will guide technical strategy, mentor engineers, and collaborate with Product, Sales, Data, and Ops to deliver value. You will work with cutting-edge voice AI tools, integrate with EHR systems, and own delivery of features across microservice architectures on AWS; a strong