
51 - 200 employees
Founded 2026
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Trail is a company that builds a consolidated "company brain" for AI agents: a context graph that stitches together documents, systems, SOPs, conversations and computed state into cited, reviewable business rules. Its product suite includes a Natural Language Rule Engine (business rules in plain English), an Agent Builder that turns SOPs into governed agents, and Trail-code, an open-source context layer for codebases. Trail connects to major models and agent platforms (Claude, ChatGPT, Microsoft Copilot, Bedrock, Vertex AI, LangChain, etc. ) via native retrievers, a Model Context Protocol server, and REST/GraphQL APIs so teams can point existing agents at a single, auditable source of truth. The platform emphasizes security and compliance (SOC 2 Type II, ISO 27001, GDPR, HIPAA BAA options), runs on tenant-controlled deployments, and targets enterprise use cases across finance, operations, supply chain, manufacturing, healthcare and financial services.
🔥 1 minute ago
Where this job comes from
Posted on Trail's careers page ↗, not through a job board
First seen by Remote Rocketship 1 minute ago

51 - 200 employees
Founded 2026
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Trail is a company that builds a consolidated "company brain" for AI agents: a context graph that stitches together documents, systems, SOPs, conversations and computed state into cited, reviewable business rules. Its product suite includes a Natural Language Rule Engine (business rules in plain English), an Agent Builder that turns SOPs into governed agents, and Trail-code, an open-source context layer for codebases. Trail connects to major models and agent platforms (Claude, ChatGPT, Microsoft Copilot, Bedrock, Vertex AI, LangChain, etc. ) via native retrievers, a Model Context Protocol server, and REST/GraphQL APIs so teams can point existing agents at a single, auditable source of truth. The platform emphasizes security and compliance (SOC 2 Type II, ISO 27001, GDPR, HIPAA BAA options), runs on tenant-controlled deployments, and targets enterprise use cases across finance, operations, supply chain, manufacturing, healthcare and financial services.
• Document and map end-to-end R2R processes, including month-end close activities, exceptions and common challenges • Create user stories, process flows and documentation based on real-world accounting workflows • Define functional requirements and acceptance criteria for AI agents across R2R activities • Develop and execute test scenarios to evaluate AI-agent accuracy and reliability • Review test results, identify gaps and collaborate with Engineering teams to resolve issues • Create realistic test data based on actual accounting scenarios • Work with customers and finance teams to understand existing processes and incorporate feedback • Translate accounting policies, approval limits, thresholds and internal controls into clear AI-agent requirements • Work closely with Product and Engineering teams to support development and evaluation of AI agents for finance and accounting processes
• 8+ years of experience in Record-to-Report (R2R), including at least 3 years leading month-end close activities • Experience managing accounting teams and overseeing close activities, including review and sign-off • Strong understanding of accounting processes, controls and financial reporting requirements • Experience in multi-entity and multi-currency accounting, including intercompany transactions • Hands-on knowledge of journal entries, accruals, bank reconciliations, balance sheet reconciliations, intercompany accounting and flux analysis • Experience in month-end close process improvements, SOP implementation, strengthening controls or finance transformation • CA, CPA, ACCA, CMA or equivalent professional qualification • Excellent written and verbal communication skills, with the ability to document accounting processes and translate them into clear functional requirements • Experience with Big 4 firms, internal audits, SOX controls or finance transformation projects • Working knowledge of ERP systems such as SAP • Familiarity with close management tools such as BlackLine, Trintech, FloQast or HighRadius • Knowledge of Ind AS, IFRS or US GAAP, including India GST/TDS • Strong Excel skills; basic SQL knowledge is an advantage • Exposure to AI testing, product evaluation or quality assurance
• Project-based contract engagement for an initial duration of 3–6 months • Remote / Bangalore work mode • Opportunity to contribute to an AI-driven finance transformation initiative
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