Lead a team of employees and contractors focused on solving business problems using AI tools.
Work closely with the existing software engineering teams to develop a seamless and low friction client experience.
Mentor junior engineers to help them grow and develop into the best that they can be.
Motivate and lead your team to show up every day and do their best work.
Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations.
Use AI to accelerate analysis, iteration, experimentation and time to market while applying judgment and verification to ensure correctness and quality.
Requirements
2+ years of experience leading and growing engineering teams, with a strong hands-on background in Python.
7+ years of industry experience designing, building, and operating scalable, highly available backend systems.
Proficiency in designing and delivering AI based solutions that solve real world business problems.
Understanding of business unit challenges and problems, Focused on Finance, Accounting, Legal, Sales and Marketing.
Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes.
Demonstrated technical leadership and people management experience.
Demonstrated ability to use AI to accelerate team execution, system design, and decision-making.
Build storage capabilities that efficiently support large-scale ML/AI workloads.
High integrity and ownership.
Tech Stack
AWS
Cloud
Docker
Kubernetes
Python
Benefits
Equity
Transparency in salary range
Flexibility to work in the way that works best for you