Carta
Fintech · Cap table
Currently tracking 1 active AI role, with 21 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $213k–$250k (avg $231k).
Carta currently has 5 active AI-related job listings. All of these roles are focused on agents, representing 100% of their active AI hiring. The majority of these positions are in Engineering. The company is hiring in the United States, Canada, and the United Kingdom. Frequent tech tags include agent orchestration, guardrails, and tool use.
Carta currently has 2 active AI-related roles in our index. The most common open titles are: Senior Software Engineer II, Developer Experience, Staff Software Engineer. Most positions are in Engineering.
Carta's active AI hiring is concentrated in: agents (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Carta is hiring AI talent in: United States (2 roles).
Job postings at Carta most frequently mention: Terraform, Supply Chain Optimization, Software Engineering, Python, Large Language Models (LLMs).
In the past 30 days, Carta has posted 1 new AI-related role.
Fintech · Cap table
| Title | Stage | AI score |
|---|---|---|
| Consultant, Contracts This role is for a Consultant on the Contracts team at Carta, an AI-native ecosystem for private capital. The consultant will manage the full lifecycle of commercial contracts for clients, acting as a direct day-to-day contact for sophisticated investment fund and asset manager clients. The role involves negotiating pre-M&A contracts, maintaining client playbooks, collaborating with junior legal staff, and contributing to the continuous improvement of Carta's AI-backed legal technology suite. The company uses AI-backed tools including its proprietary platform, Ava, to support the team. | — | 5 |
| Senior Fund Accountant Senior Fund Accountant role at Carta, a fintech company focused on private markets infrastructure. The role involves supporting clients with financial accounting needs, streamlining operations, and collaborating with product and engineering teams to enhance the Investor Services product suite. The ideal candidate will have experience in closed-end fund accounting, interpreting LPAs, and strong problem-solving skills, with an interest in leveraging technology and AI to improve workflows. | — | 0 |