About the position
As the Engineering Manager for our Search Relevance team, you work closely with our Product, Engineering and ML team to enable patients find the most relevant care on our marketplace and deliver a better health care experience. Your leadership of this product engineering team will result in us shipping quickly with the right amount of investment in infrastructure, bettering our product and improving the lives of millions of patients. Your dedication to building a culture of transparency, inclusion, and support will help ensure that our engineering is always evolving and growing. Your ability to combine technical capabilities, digging into details to unblock teams and steer through complex engineering tradeoffs, with business knowledge and context is crucial for the success of Zocdoc.
Responsibilities
- Leading, managing, and growing a team of Machine Learning engineers and Data Scientists to deliver highly reliable, performant software solutions
- Partnering with product, with an emphasis on being a liaison between product managers and engineers and maintain a clear technical and product strategy and roadmap
- Working across the organization on Engineering Culture, helping to build career ladders, steer cross-team events, and help build an inclusive technology workforce
- Mentoring and coaching a team of engineers to maintain a high quality of work, while delivering new features with high velocity
- Making sure we are building out the platform's capabilities with attention to security, scale, performance, and uptime
- Working with cutting edge GenAI tools and technology
Requirements
- Experience working on consumer facing products using Machine Learning
- Shipped multiple product features to external customers, either as an IC or Manager with large scale Machine Learning / Data Infrastructure
- A deep knowledge of software development methodologies with a focus on Machine Learning and Data Science
- Passion for understanding the use cases of your customers and a focus on collaboration
- Experience working with microservice architectures and AWS / cloud environment
- Solid communication skills with the ability to influence key stakeholders and build consensus with engineers at all levels
- The mentality of an entrepreneur/owner and a strong bias to action
- Humility. You believe in treating all people with dignity and respect, regardless of title or tenure, and you approach tough conversations with empathy
Nice-to-haves
- Passionate about software engineering and product development and building scalable, technical solutions
- Passionate about leveraging machine learning to solve real world problems
- Willing and eager to learn, including hands on development to guide and set an example for your team
- A leader who enjoys inspiring, supporting, and influencing their teams to do their best work with a focus on accountability, velocity, and continuous improvement
- A strong collaborator with excellent communication skills who enjoys being the bridge between engineering, product, and internal stakeholders, being able to communicate complex ML terminology effectively to various stakeholders
- A believer that diverse and inclusive teams and cultures are non-negotiable
Benefits
- Flexible, hybrid work environment
- Unlimited PTO
- 100% paid employee health benefit options
- Employer funded 401(k) match
- Corporate wellness programs with Headspace and Peloton
- Sabbatical leave (for employees with 5+ years of service)
- Competitive parental leave
- Cell phone reimbursement
- Great Place to Work Certified
- Catered lunch everyday along with snacks
- Commuter Benefits
- Convenient Soho location
