Engineering Manager

Job Description

Procore is looking for an Engineering Manager to join our Construction Intelligence Organization to maintain, optimize and enhance the data and ML platform. You’ll be responsible for the data and ML Platform features that enable Procore to build cost-efficient AI solutions for our customers, empowering research teams with an integrated collection of technologies and techniques from Procore’s standard development ecosystem to develop and execute Procore Intelligence initiatives.

As an Engineering Manager, you will lead talented engineers to design and deliver platform features. You will also facilitate collaboration among multiple teams and ensure the success of the team’s projects and operations. As a part of the engineering leadership team you will help determine technical vision and direction as well as establish processes and drive initiatives that result in technical, operational, and cultural improvements across the engineering team. You will partner with leaders from across the organization, especially product and design, to ensure we are working effectively to deliver a high-quality product.  

What you will do:

• Ensure that developers and tech leads fulfill their job responsibilities, especially through individual coaching

• Architecture Design: Expertise in designing scalable and robust data and machine learning platform architectures, including data ingestion, processing, and model deployment strategies.

• Tooling and Frameworks: Proficient in leveraging machine learning frameworks (e.g., TensorFlow, PyTorch) and orchestration tools (e.g., Kubernetes, Airflow) to streamline workflows and enhance model performance.

• Monitoring and Optimization: Experience with monitoring tools and techniques for evaluating model performance, ensuring reliability, and implementing continuous integration and delivery (CI/CD) practices in ML workflows.

• Partner with data scientist teams on modeling and analysis problems—from transforming problem statements into analysis problems, to working through data modeling and engineering, to analysis and communication of results

• Participate in the evolution of Data and ML Engineering at Procore

• Working alongside our Product, UX, and IT teams, you’ll leverage your experience and expertise in the analytics event space to influence our product roadmap, developing innovative solutions that add additional capabilities to our tools

What you have:

• Degree in Computer Science, a similar technical field of study, or equivalent practical experience

• 2+ years of leading and managing; 3+ years of hands-on data pipeline and/or ML platform development experience. 

• Experience with ML platforms and tools (such as Amazon Sagemaker, Google AI platform, ML Flow, RAY etc) is required

• Experience with AWS (EC2, EMR, RDS, Redshift), Airflow, PostgreSQL, Spark, DataBricks, and Data pipeline/streaming tools (Kafka) is required

• Experience on building and optimizing data pipelines and data flow orchestration

• Experience supporting and working with cross-functional teams in a dynamic environment

• Experience collaborating effectively with engineering stakeholders – including product, design, CS/CX

• Experience running teams that operate using agile and scrum methodologies

Qualifications