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Matterport - Lead Business Analyst, Data Operations
- Sunnyvale, California, United States
- Sunnyvale, California, United States
About
About CoStar Group CoStar Group is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights, and connections that improve their businesses and lives.
We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry—for our customers and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.
About Matterport Matterport is leading the digital transformation of the built world. Our groundbreaking spatial computing platform turns buildings into data, making every space more valuable and accessible. Millions of buildings in more than 170 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle—from planning, construction, and operations to documentation, appraisal, and marketing.
About the Role As a Lead Data AnnotationBusiness Analyst at Matterport, a part of CoStar Group, you will be pivotal in building the foundation for our AI and computer vision models. This is a strategic role that goes far beyond traditional business analysis—you will manage the entire lifecycle of data annotation projects, ensuring that our models are trained on high-quality, well-structured datasets that reflect real-world complexity.
You will collaborate with product managers and ML engineers to define ontology requirements, design annotation workflows, and manage internal and external annotation teams. From sampling data and creating annotation guidelines to reviewing outputs and integrating results into production pipelines, you will be the driving force behind the quality and scalability of our training data.
This role offers significant development potential: you will influence Matterport’s data strategy and have the opportunity to evolve into a leadership position overseeing global data operations and annotation strategy.
This role is located in Sunnyvale, CA and is 4 days on-site and 1 day work from home.
What You Will Do
Own the Data Annotation Lifecycle : Manage all internal and third‑party annotation projects, from requirements gathering to final data delivery.
Define Ontologies and Standards : Work with product and engineering teams to translate model requirements into clear, scalable annotation schemas.
Design and Launch Annotation Projects : Sample datasets, create detailed guidelines, and ensure annotation quality through robust QA processes.
Vendor and Team Management : Coordinate with external providers and internal teams to ensure timely, accurate, and cost‑effective project execution.
Integrate and Validate Outputs : Collaborate with ML engineers to ingest annotated data, review results, and iterate for continuous improvement.
Optimize Processes : Develop workflows, tools, and best practices for annotation at scale, leveraging automation where possible.
Drive Strategic Impact : Influence Matterport’s data strategy and contribute to building world‑class AI models for spatial computing.
Basic Qualifications
Bachelor’s degree required from an accredited, not‑for‑profit, in‑person college/university.
A track record of commitment to prior employers.
3+ years of experience in data operations, annotation management, or business analysis in a technical environment.
Strong understanding of data structures, ontologies, and annotation workflows.
Excellent organizational and project management skills with attention to detail.
Familiarity with ML concepts and data requirements for model training.
Experience working with external vendors and managing cross‑functional teams.
Proficiency in tools like Excel, SQL, and project management platforms.
Preferred Qualifications
Experience in computer vision or ML‑driven products.
Knowledge of annotation tools and platforms (e.g., Dataloop, Hasty, Scale.ai, Deeplake).
Familiarity with workflow orchestration and automation tools.
Strong analytical skills and ability to translate technical requirements into operational plans.
Demonstrated ability to scale processes and manage multiple projects simultaneously.
Perks & Benefits When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.
We offer you generous compensation and performance‑based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter‑office exchange program.
Our benefits package includes (but is not limited to):
Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
Life, legal, and supplementary insurance
Virtual and in‑person mental health counseling services for individuals and family
Commuter and parking benefits
401(K) retirement plan with matching contributions
Employee stock purchase plan
Paid time off
Tuition reimbursement
Access to CoStar Group’s Culture Employee Resource Groups
Complimentary in‑office gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks
Pay Transparency This position offers an annual OTE pay range from $149,000 - $189,000 determined by relevant skills and experience, in addition to a generous benefits plan.
Equal Employment Opportunity CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug‑free workplace and perform pre‑employment substance abuse testing.
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Languages
- English
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