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Engineering Manager, ML Data Platform

Job Description

We’re looking for a Manager to join Procore’s Construction Intelligence team to maintain, optimize and enhance the ML Data platform. You’ll be responsible for the data and ML Platform feature to enable  the company to build cost-efficient AI solutions for our customers, by empowering research teams with an integrated collection of technologies and techniques of 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.  

This position reports to the Engineering Director and will be based in our office in Austin TX. We’re looking for someone to join us immediately.

What you’ll 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

  • 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

  • Identify hiring needs and partner with recruiting through the hiring process

  • Provide opportunities for career development, including through promotion, technical growth, and stretch assignments

What we’re looking for:

  • BS degree in Computer Science, a similar technical field of study, or equivalent practical experience is required; MS or Ph.D. degree in Computer Science or a related field is preferred

  • 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

  • Demonstrated track record of developing the technical skills of and providing growth within the organization for team members

Additional Information

Base Pay Range $197,680 - $271,810. 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 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.

If you'd like to stay in touch and be the first to hear about new roles at Procore, join our Talent Community.

Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact our benefits team here to discuss reasonable accommodations.

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.

Average salary estimate

$234745 / YEARLY (est.)
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$197680K
$271810K

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What You Should Know About Engineering Manager, ML Data Platform, Procore Technologies

Are you ready to step into a leadership role as an Engineering Manager for the ML Data Platform at Procore? Located in the heart of Austin, Texas, this role empowers you to take the reins of our Construction Intelligence team, where you’ll maintain, optimize, and innovate our cutting-edge ML Data platform. Your mission? To enable our teams to craft cost-efficient AI solutions that truly enhance the customer experience. Imagine leading a group of talented engineers in designing and delivering impactful platform features while fostering collaboration across diverse teams. As a key player in our engineering leadership, you’ll help shape our technical vision, ensuring that we implement robust processes that promote both operational efficiency and a positive team culture. Your expertise will shine as you partner with product and design squads to drive initiatives that elevate our offerings. On the technical side, you'll ensure everything from data ingestion to model deployment runs smoothly using state-of-the-art tools like TensorFlow, PyTorch, and Kubernetes. Add your flair for mentoring talented engineers, identifying hiring needs, and providing career development opportunities, and you have the perfect blend of management and innovation. If you’re excited about utilizing your skills in a dynamic environment while influencing product roadmaps and cultivating a thriving team culture, we want to hear from you!

Frequently Asked Questions (FAQs) for Engineering Manager, ML Data Platform Role at Procore Technologies
What are the key responsibilities of an Engineering Manager at Procore?

As an Engineering Manager for the ML Data Platform at Procore, your responsibilities include overseeing the development and optimization of the ML Data platform, leading design efforts for scalable architectures, and ensuring the seamless integration of machine learning workflows. Your role is vital in facilitating collaboration among cross-functional teams and ensuring project success while contributing to the overall technical vision of Procore.

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What qualifications do I need to apply for the Engineering Manager position at Procore?

To be considered for the Engineering Manager role at Procore, you should have a BS degree in Computer Science or a related field, with a preference for an MS or Ph.D. Additionally, you should possess at least 2 years of management experience and 3 years of hands-on development experience with ML platforms and tools, along with expertise in AWS, data pipelines, and data flow orchestration.

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How does the Engineering Manager at Procore ensure team collaboration?

The Engineering Manager at Procore plays a crucial role in fostering collaboration among teams by facilitating effective communication and setting up processes that encourage cross-functional teamwork. This involves working closely with product, design, and other departments to synchronize efforts and align on project goals, ensuring everyone is equipped to contribute towards delivering high-quality products.

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What role does mentorship play for an Engineering Manager at Procore?

Mentorship is a fundamental part of the Engineering Manager role at Procore. The manager is responsible for providing career development opportunities through coaching, promoting technical growth, and identifying paths for advancement within the company. Supporting team members in their professional growth is essential for building a strong, capable engineering team.

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What is the company culture like at Procore for an Engineering Manager?

Procore fosters a dynamic and inclusive company culture where innovation is encouraged, and employees are empowered to own their work. As an Engineering Manager, you will be part of a collaborative environment that values diverse backgrounds and perspectives, promoting continuous learning and improvement, making it an ideal place for both personal and professional growth.

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Common Interview Questions for Engineering Manager, ML Data Platform
What strategies would you use to manage a team of engineers effectively?

To manage a team of engineers effectively, I would focus on open communication, setting clear expectations, and providing continuous feedback. Encouraging collaboration and flexibility to adapt to evolving project needs is also essential, alongside recognizing the contributions of each team member to boost morale and motivation.

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How would you approach designing a scalable ML platform architecture?

Designing a scalable ML platform architecture involves understanding the specific needs of the data and workflows involved. I would emphasize modularity and use microservices to allow different components to scale independently. Leveraging cloud infrastructure for scalability and employing tools like Kubernetes for orchestration can also help in managing resources efficiently.

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Can you provide an example of a successful project you've led in the past?

In a previous role, I led a cross-functional team to develop an ML solution that reduced processing time by 30%. By focusing on iterative development and teamwork, we were able to identify bottlenecks early and implement a streamlined data pipeline, leveraging cloud tools effectively for optimal performance.

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What is your experience with machine learning frameworks and tools?

I have extensive experience working with machine learning frameworks such as TensorFlow and PyTorch, which I’ve utilized for model building and training purposes. Additionally, I've employed orchestration tools like Airflow and containerization technologies such as Docker and Kubernetes for deploying and managing ML workflows in production.

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How do you prioritize features and initiatives within your team?

I prioritize features and initiatives by aligning them with the overall product vision and customer needs. I involve the team in discussions to gather insights and establish a balanced roadmap that includes technical improvements while also addressing customer feedback. Regular check-ins help ensure we stay on track and make adjustments as needed.

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What role does data monitoring play in your management process?

Data monitoring is crucial in my management process to ensure the integrity and performance of the models deployed. I implement monitoring solutions that provide real-time insights into model performance, allowing for timely interventions and adjustments when necessary, thereby ensuring high reliability and effectiveness of our ML systems.

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How do you support professional development in your team?

Supporting professional development involves creating a tailored growth plan for each team member that includes mentorship, training opportunities, and exposure to challenging projects. I encourage knowledge sharing through regular team meetings and promote a culture of continuous learning by utilizing resources such as workshops and online courses.

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What steps do you take to ensure successful cross-functional collaboration?

To ensure successful cross-functional collaboration, I emphasize clear communication and set common goals that align with the business objectives. Regular meetings with key stakeholders, fostering an environment of openness, and utilizing collaborative tools help maintain alignment and transparency throughout the project lifecycle.

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How do you handle conflicts within your team?

Handling conflicts within the team involves addressing issues promptly and encouraging open communication. I facilitate discussions to understand different perspectives and guide the team towards finding a mutually agreeable solution, ensuring that the focus remains on project goals and team cohesion.

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What tools and technologies have you used for data pipeline optimization?

I've used a variety of tools for data pipeline optimization, including Apache Kafka for streaming data processes, Airflow for task orchestration, and cloud services like AWS for scalable storage solutions. Utilizing these tools effectively ensures that our data pipelines run smoothly and efficiently, delivering timely insights to stakeholders.

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Our mission improves the lives of those in construction, but it's so much more than that. Our technology helps build hospitals, community centers, stadiums, roadways and more. It helps our customers do their work faster and safer while reducing bu...

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DATE POSTED
April 4, 2025

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