Engineering Manager, Data & ML Shared Tools
Austin, TX, United States
Full Time Mid-level / Intermediate USD 158K - 218K
Procore Technologies
Die All-in-One-Software für das Baumanagement, die Ihnen hilft, hochwertige Projekte zu realisieren – sicher, pünktlich und im Rahmen des Budgets.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
Additional Information
Base Pay Range $158,680 - $218,185. Eligible for Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation, and has provided an estimated pay range for this role. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location.
Perks & Benefits
At Procore, we invest in our employees and provide a full range of benefits and perks to help you grow and thrive. From generous paid time off and healthcare coverage to career enrichment and development programs, learn more details about what we offer and how we empower you to be your best.
About Us
Procore Technologies is building the software that builds the world. We provide cloud-based construction management software that helps clients more efficiently build skyscrapers, hospitals, retail centers, airports, housing complexes, and more. At Procore, we have worked hard to create and maintain a culture where you can own your work and are encouraged and given resources to try new ideas. Check us out on Glassdoor to see what others are saying about working at Procore.
We are an equal-opportunity employer and welcome builders of all backgrounds. We thrive in a diverse, dynamic, and inclusive environment. We do not tolerate discrimination against candidates or employees on the basis of gender, sex, national origin, civil status, family status, sexual orientation, religion, age, disability, race, traveler community, status as a protected veteran or any other classification protected by law.
Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact benefits@procore.com to discuss reasonable accommodations.
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For Los Angeles County (unincorporated) Candidates:
Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.
Tags: Agile Airflow Architecture AWS CI/CD Classification Computer Science CX Databricks Data pipelines EC2 Engineering Kafka Kubernetes Machine Learning Model deployment Pipelines PostgreSQL PyTorch Redshift Research SageMaker Scrum Spark Streaming TensorFlow UX
Perks/benefits: Career development Competitive pay
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