Accounting Manager

What You’ll Do

• Own month-end close across assigned GL areas — journal entries, reconciliations, and flux analysis — with a relentless focus on accuracy, speed, and reducing manual effort close-over-close. Key assigned areas include high-complexity, revenue-specific workflows across multiple business verticals.
• Develop and maintain deep understanding of Engine's revenue model and business economics — enough to anticipate the accounting implications of product and commercial decisions before they hit the GL.
• Apply deep expertise in revenue recognition to ensure GAAP-compliance in both accounting for existing revenue streams and in building frameworks for new streams if they launch.
• Collaborate cross-functionally with Product, Data Engineering, Finance, and Operations on accounting for new and evolving areas of the business — often before a playbook exists. Work directly with large, complex datasets to support accurate and complete accounting records, navigating and manipulating data across systems to drive close deliverables and substantiate positions. 
• Build and maintain automation workflows using AI tools (Claude, Gemini, Cowork, or equivalent) and reporting platforms to eliminate recurring manual work and compress close timelines. 
• Partner with the data team to investigate issues at root cause, assess full population impact, and implement solutions that hold up at scale. 
• Communicate accounting findings, data investigations, and process changes clearly to Finance, Product, and business leadership — translating complexity into actionable insight and empowering data-driven decisions. 
• Prepare timely, well-organized support for financial audits, quarterly close packages, and technical accounting memos. 

What You’ll Bring to Engine

• CPA strongly preferred. 
• 5+ years of progressive accounting experience, with manager-level  ownership over complex close processes in a fast-paced, high-growth environment. 
• Strong technical accounting foundation, especially in ASC 606 and revenue recognition. 
• Demonstrated experience building or deploying AI/automation tools to reduce manual accounting work. This is a hard requirement, not a nice-to-have. 
• Experience working with large, complex datasets to validate accounting outcomes, investigate discrepancies, and support scalable close processes.Strong judgment in ambiguous situations: you move quickly, explain your reasoning clearly, and back your decisions with documentation. 
• Strong ability