Engineering Manager - AI Services
Remote (United States)
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Anaconda
Democratize AI innovation with the world’s most trusted open ecosystem for data science and AI development.About Anaconda
Be at the center of AI
With more than 45 million users, Anaconda is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science, and machine learning through a seamless platform. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world. To learn more visit https://www.anaconda.com.
Here is what people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.
Summary:
Anaconda is seeking a talented Engineering Manager of AI Services to join our rapidly growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science, artificial intelligence, and machine learning.
What You'll Do:
- Build and lead the AI Evaluation Framework team, establishing methodologies and processes for assessing LLM and Agent performance
- Drive technical strategy while maintaining focus on business outcomes and ROI
- Mentor and grow a team of AI engineers, fostering a culture of technical excellence and pragmatic decision-making
- Collaborate with cross-functional stakeholders to align technical initiatives with business objectives
- Manage team resources, sprint planning, and delivery timelines
- Provide technical leadership in MLOps practices and infrastructure decisions
- Balance innovation with practical business needs, ensuring efficient resource utilization
What You Need:
- 5+ years of hands-on software engineering experience, with strong proficiency in Python
- 3+ years of engineering management experience, preferably in AI/ML teams
- Proven track record in Data Science and MLOps environments
- Experience with ML model evaluation, metrics, and testing frameworks
- Strong background in building and maintaining production AI/ML systems
- Bachelor's degree in Computer Science, Engineering, or related field
- Expert-level Python programming
- Strong understanding of MLOps practices and tools
- Experience with ML frameworks (PyTorch, TensorFlow, etc.)
- Familiarity with cloud platforms (AWS/GCP/Azure)
- Knowledge of CI/CD practices and infrastructure automation
- Understanding of distributed systems and scalable architectures
- Team attitude: “I am not done until WE are done”
- Embody our core values:
- Great People
- Great Product
- Great Performance
- Care deeply about fostering an environment where people of all backgrounds and experiences can flourish
What Will Make You Stand Out:
- Master's or Ph.D. in Computer Science, Machine Learning, or related field
- Contributions to open-source projects
- Experience with DevOps practices and tools
- Track record of successful ML products in production
- Experience scaling AI teams and operations
Why You'll Like Working Here:
- Unique opportunity to translate strong open-source adoption and user enthusiasm into commercial product growth
- Dynamic company that rewards high-performers
- On the cutting edge of enterprise application of data science, machine learning, and AI
- Collaborative team environment that values multiple perspectives and clear thinking
- Employees-first culture
- Flexible working hours
- Medical*, Dental*, Vision*, HSA*, Life* and 401K*
- Paid parental leave - both parents
- Monthly productivity stipend
- Open vacation policy*
- Quarterly Snake days (company-wide bonus day off)
- 100% remote
*FTE employees based on your region
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes. By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Sydney Artt.
This job post expires 30 days from its original post date
Anaconda is an EEO/AA employer M/F/V/D.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Anaconda Architecture AWS Azure CI/CD Computer Science DevOps Distributed Systems Engineering GCP LLMs Machine Learning MLOps Open Source Privacy Python PyTorch Research TensorFlow Testing
Perks/benefits: Career development Flex hours Flex vacation Health care Home office stipend Medical leave Parental leave Salary bonus Startup environment
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