
Engineering Manager II, Enterprise AI Solutions
Zigsaw
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Salary
💰 $177,185 - $364,795 per year
Tech Stack
About the role
- 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.
Benefits
- Equity
- Transparency in salary range
- Flexibility to work in the way that works best for you
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI solutionsbackend systems designdata lake storagemetadata managementML/AI innovationscloud infrastructureDockerKubernetes
Soft Skills
leadershipmentoringteam motivationcollaborationjudgmentverificationintegrityownership