Cleaner / Housekeeper Job

Employment Type: Full-Time / Part-Time

Job Summary

We are hiring Cleaners / Housekeepers to help maintain our newly expanded office and employee facilities. This is an entry-level position, and previous professional cleaning experience is not required. Training will be provided.

Responsibilities
Clean offices, common areas, break rooms, and restrooms
Sweep, mop, vacuum, and wipe down surfaces
Empty trash and recycling containers
Restock basic cleaning and restroom supplies
Keep employee and visitor areas clean and organized
Report maintenance or safety issues to a supervisor
Follow workplace cleaning and safety procedures
Qualifications
No previous experience required
No college degree required
Ability to follow basic instructions
Dependable and punctual
Comfortable performing routine physical work
Ability to work independently and as part of a team
What We Offer
On-the-job training
Flexible scheduling depending on position
Opportunities for additional hours
Supportive team environment

Applicants interested in straightforward, entry-level work are encouraged to apply.

Social Value is a data intelligence and marketing technology company helping organizations better understand how people influence the behaviors and decisions of those around them. Our platform combines advanced analytics, machine learning, and first-party data to uncover patterns of peer-to-peer influence that traditional marketing and attribution models often overlook. We work with brands and organizations across retail, consumer services, technology, and nonprofit sectors to transform complex behavioral data into actionable insights. Our team brings together engineers, data scientists, product specialists, and marketing strategists focused on building practical technology that helps businesses understand their customers, improve targeting, and make smarter growth decisions. Based in Austin, Texas, we are building a collaborative, technology-driven team where employees can take ownership of meaningful projects and contribute directly to the development of our growing data intell