Invisible Technologies is the AI training and scaling partner for the leading foundation model providers, enterprises, and governments, bridging the gap between AI potential and production. Invisible’s unique AI Process Platform combines elite global human expertise, cutting edge technology, and deep institutional knowledge gained by training 80% of the world’s leading AI models. Trusted by AWS, Microsoft, and Cohere, we have an unparalleled ability to operationalize AI for real-world applications. Our explosive growth landed us the #2 spot on the Inc. 5000 in 2024, closing the year on $134m revenue.
About The Role
The Senior Manager of Data Infrastructure will play a pivotal part of the analytical culture of Invisible. They will be responsible for managing the infrastructure and architecture that powers our centralized analytics team. They will be responsible for data extraction, transformation, and storage of data to enable analytics. They will also drive key decisions and create policies around database design, data architecture, data optimization, and data practices on the analytics team and in the organization as a whole. They will manage a modern analytics tech stack of ETL tools including, but not limited to, Fivetran, DBT, Airflow, and Metabase, and they will also guide the architecture and design of company-wide tools such as our HRMS, CRM, and ERP.
What You’ll Do
- Lead the analytics team’s data architecture and infrastructure strategy
- Act as a leader in data and data-driven strategy at Invisible
- Enable downstream data products such as dashboards, reports, analyses, and, self-serve models
- Manage our data lakehouse and data marts, in terms of tooling and design
- Set robust data definitions, sources of truth, and nomenclature
- Monitor data integrity and accuracy
- Manage our data pipelines
- Maintain and optimize data transformation layer and data models
- Ensure efficient data processing and resourcing
- Build data pipelines between different systems (eg ERP, HRIS, CRM, etc.)
- Manage data permissions
- Write and enforce company-wide data policies
What We Need
- 8+ years of experience in a data architecture, data infrastructure, data engineering, or analytics engineering role (or similar)
- 4+ years of leadership experience, either managing teams or owning cross-functional data infrastructure
- Experience with modern tech stack for analytics / BI
- Ability to translate business needs to optimal data structures (pipelines, models, marts)
- Experience setting the data architecture for external systems
- Proficient in SQL
- Proficient in Python for data pipelines and analytics
What’s In It For You
Compensation:
Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary 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.
What It’s Like to Work at Invisible:
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.
Country Hiring Guidelines:
Invisible is a remote-first organization and hires new team members in countries around the world. Although many of our roles are fully remote, some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Accessibility Statement:
We’re committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at [email protected].
Equal Opportunity Statement:
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.
Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
