About the Role:

Monte Carlo Data, Inc. seeks an Engineering Manager in its San Francisco, CA office.

Here's what you'll be doing:

• Manage and lead data science projects, prioritize the anomaly detection team’s workload, and guide the entire life cycle of projects from research and engineering to production. Architect and implement the company’s MLOps (Machine Learning Operations) infrastructure, including ML (Machine Learning) pipelines, feature engineering, feature store, and model monitoring for productizing machine learning models.

• Plan and manage engineering projects from conception to completion, ensuring that they are completed on time, within budget, and to the required quality standards.

• Review technical designs, specifications, and engineering drawings to ensure compliance with project requirements, standards, and codes.

• Work with cross-functional stakeholders to unblock projects and ensure information flow.

• Ensure customer issues are resolved fully and timely. Hire, manage, and develop global team members.

• Ensure staff works efficiently and effectively to achieve project goals and objectives.

• Coach and provide redirecting feedback as needed to employees.

• Supervise 3 Data Scientists, 2 Data Engineers, and 1 Senior Software Engineer to design and develop machine learning infrastructure.

We're excited about you because you have:

• Bachelor’s degree or foreign degree equivalent in Software Engineering, Computer Science, Cognitive Science, Data Science, or related

• 60 months of experience in an occupation related to Data Science and Engineering.

• 60 months in/with the following: Machine Learning, Statistical Analysis, Data Modeling, Python Software Development, Data Pipeline Engineering, and Software Team Management, including architecting, planning, scheduling, recruiting, and team building.

• 40 hours/week. $225,000 - $250,000/year.

About Monte Carlo

As businesses increasingly rely on data to power digital products and drive better decision-making, it’s mission-critical that this data is accurate and reliable. Monte Carlo, the data reliability company, is the creator of the industry's first end-to-end Data Observability platform. Named an Inc. Best Workplace for 2024, a DBTA Readers Choice for Best Data Observability Solution for 2024, a G2 Best Product for 2023, and the "New Relic for data" by Forbes, we've raised $236M from Accel, ICONIQ Growth, GGV Capital, Redpoint Ventures, IVP, and Salesforce Ventures. Monte Carlo works with data-driven companies like Fox, Pepsico, Amazon, American Airlines, and other leading enterprises to help them achieve trust in data.

Come As You Are

Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.

Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are proud to be recognized for our world-class employee experience:

Monte Carlo Named an Inc. Best Workplace for 2024

Monte Carlo Named A Top 20 ORG For Venture Capital Funded Companies, Spring 2024

Monte Carlo Named A Top 5 ORG in San Francisco, Spring 2024

Data Quality Startup Monte Carlo Is A Unicorn After Fourth Funding Round In Two Years