Careers

Career opportunities

Join at the ground floor and shape your role, the culture, and the company as we grow.

RoleExperienceTypeLocation

Data Science and Engineering

Experience4+ yearsTypeFull-timeLocationBrooklyn, NY (preferred)
About the position

This is a hands-on hybrid role spanning data engineering, analytics, and system design. You will design and build SQL- and Python-based workflows that ingest, clean, transform, and connect data across systems. You will own pipelines end-to-end and help drive analytics on top of them. You will also help build the IP that monitors these ecosystems and drives AI-based workflows on top of the structured data sets.

You will have direct client exposure and the opportunity to shape Clarity Cubed’s internal IP, standards, and approach from the ground up.

Who does well here

You've owned a data project end to end and been on the hook for whether the numbers were right. Messy data from systems that don't talk to each other doesn't scare you. When the manual way is unbearable, you fix it. You can walk a client's finance team through your work on your own. And you use AI tools like Claude every day, to build faster and to check yourself.

Experience

4+ years of professional experience

Your role
  • Design and build data workflows for ingestion and transformation, using SQL, Python and AI tools like Claude.
  • Own data pipelines end-to-end to drive actionable business analytics and insights.
  • Build internal IP that monitors ecosystems and drives AI-based workflows on structured datasets.
  • Ingest, clean, transform, and connect complex data across various disparate systems.
  • Work directly with clients, and help shape our internal standards and engineering approach.

Senior Business Manager

Experience5+ yearsTypeFull-timeLocationBrooklyn, NY (preferred)
About the position

This role will support live client engagements and work directly on building structured, decision-ready datasets from messy real-world systems. You will operate across multiple projects, help reconcile operational data to financials, and contribute to the development of repeatable processes and internal intellectual property. You need a solid background in finance or accounting, including financial statement analysis, to succeed in this role.

You will have exposure to client leadership teams and investors, while developing the skills to take on greater value creation responsibility over time.

A real week here

Tying a client's billing system report back to their general ledger and finding out why it's off. Then turning what you learned into a new portal module or report, and shipping it in code with AI tools like Claude. By Friday, you're demoing it to the PE firm and the management team.

Who does well here

You've reconciled, closed, diligenced or modeled something real, and been on the hook for whether it was right. You can switch between companies and industries fast. You're comfortable in front of a client's finance team on your own. When the manual way is unbearable, you fix it, and you use AI tools like Claude to do it.

Experience

5+ years in transaction services, accounting advisory, public accounting, FP&A, M&A or private equity

Your role
  • Support client engagements focused on data cleanup, reconciliation, and analysis (both financial and operational)
  • Work across large datasets to structure and validate information
  • Reconcile operational data to financial statements and management reporting
  • Help build recurring reporting frameworks and data models
  • Identify inconsistencies, gaps, and areas for improvement in client data environments
  • Operate across multiple projects with urgency and strong organization
  • Contribute to the development of scalable workflows and internal playbooks
  • As you grow, you will have the opportunity to take on more ownership in client workstreams and contribute directly to value creation initiatives