Deepgram

Deepgram

Senior Director, Accounting

USA | Remote · Director

Sponsorship not specifiedDetected 48 days ago
ComplianceAccountingERPAR/VRLeadershipCollaborationNetSuite

About the role

  • Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency.
  • There is no organization in the world that understands voice better than Deepgram.
  • At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance.

Responsibilities

  • Lead the operational accounting function. Monthly and quarterly close, GL integrity, sub-ledger architecture, and the systems that run them. Design the function for first-audit and the year that follows.
  • Lead the ERP migration. Partner with the CAO on platform selection (NetSuite, Rillet, Everest, and others under evaluation), then lead implementation end-to-end.
  • Lead the team. Operational accounting - close/GL, AP, AR, payroll, accounting systems. Develop the managers under you. Hire the layer beneath them. Set the bar for the function.
  • you build the system that makes it executable.
  • Deliver Year-1 audit operationally. Stand up PBC delivery. Codify accounting policies in the system. Defend the opening balance sheet. The CAO owns the partner relationship
  • you own the system that delivers fieldwork.
  • Build the SOX control environment. Design the operational control perimeter from scratch, ahead of IPO. Effective, not heavy.
  • Lead the AI-native transformation of operational accounting. The system should get easier as the company grows.
  • Scale with the function. As scope expands, take on broader accounting leadership - succession planning, cross-functional finance partnership, board-level support to the CAO.

Nice to have

  • CPA preferred, not required.

Compensation

  • Annual wellness stipend

This listing is sourced directly from Deepgram's careers page and normalized into a canonical job model.