Invisible Technologies is the AI operating system for the enterprise. Our end-to-end AI Software Platform structures messy data, builds digital workflows, deploys agentic solutions, evaluates/measures impact, and mobilizes relevant human experts. Invisible has trained foundation models for more than 80% of the world's leading AI model providers, including Cohere, Microsoft, and AWS, and we have the expertise to customize AI for any industry, function, or use case.
Invisible makes AI work in the real world. In 2024, we reached $134M in revenue and were named the #2 fastest growing AI company on the Inc. 5000.
We are seeking a highly skilled and customer-focused Senior IT Associate to be the go-to technology partner for our San Francisco Bay Area office and our globally distributed workforce. This on-site role starts as part-time, with the likelihood to convert to full-time and is essential to ensuring our employees have a seamless IT experience, whether they are working in the office or remotely across the world.
As a Senior IT Associate, you'll provide hands-on support for in-office staff while also troubleshooting and resolving technical issues for employees and contractors worldwide. You'll work the help desk to resolve complex tickets and serve as a point of escalation for other IT Associates, ensuring issues are addressed quickly and effectively. You'll also play a key role in keeping our systems secure, reliable, and efficient—supporting daily operations, enabling collaboration, and driving technology improvements across the organization.
Invisible is entering a critical stage of growth and transformation where reliability, security, and operational excellence are more important than ever. In this role, you will ensure our teams can work seamlessly across borders, systems, and environments while helping the company meet the highest standards of trust and compliance. By keeping people productive and systems resilient, you will directly contribute to scaling the business and unlocking future opportunities.
Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our pay structure accounts for regional differences in cost of living while maintaining internal equity.
An Invisible Talent Acquisition Partner can provide more information on which locations are included in each of our geographic pay tiers during the interview process. For candidates outside the U.S., compensation will be adjusted to reflect local market conditions and cost-of-living differentials.
Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.
At Invisible, we're not just redefining work—we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks—you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.
We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in.
We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. We provide reasonable accommodations during the recruitment process where needed.
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