Engineering Manager, Evidence Request Management

The role

You will lead the Evidence Request Management team to build agentic automation for audit and finance. You will own the technical direction of the evidence lifecycle and build conversational agents that interact with clients.

What you will do

• Lead through outcomes and set clear goals.
• Hire, grow and retain senior engineers in New York.
• Own the technical direction of Evidence Request Management end-to-end.
• Build conversational agents that represent the firm professionally.
• Work with audit experts to encode what good evidence means.
• Design autonomy for agents and ensure actions are traceable.
• Build long-running, event-driven systems.
• Measure cycle time, chase volume and first-time-right evidence.
• Partner with Agent Runtime, Document Intelligence, Evals, Product, Design and audit experts.
• Shape how DataSnipper engineering uses AI.

Required qualifications

• 3+ years leading engineering teams
• 5+ years as a software engineer
• Empowerment style of leadership
• Track record of hiring and building high-performing teams
• Hands-on experience with agentic or LLM systems in production
• Experience building workflow-heavy products with multi-step state, notifications and permissions
• Strong fundamentals in software architecture, distributed systems, APIs and cloud-native development
• Strong product aptitude
• Hands-on fluency with AI coding tools and agentic harnesses
• Comfortable leading across time zones and offices
• Clear written communication

Nice to have

• Durable workflow engines (e.g. Temporal) or long-running, event-driven systems in production
• Document processing: OCR, classification, structured extraction and their quality metrics
• Conversational AI with external users
• Case-management, ticketing or client-portal products, and email, file-sharing or ERP integrations
• Agent evaluation in practice: datasets, offline and online experiments, failure classification
• Experience in regulated domains (audit, financial services, healthcare or similar)
• Governance at scale: permissions, approvals and data access
• Working closely with Forward Deployed Engineers, Solution Architects and GTM teams
• Python, Azure and observability tooling
• Domain experience in audit (PBC, engagement operations), accounting or fintech

Benefits

• Equity (Stock Appreciation Rights)
• Flexible paid time off
• Comprehensive medical and dental coverage
• 401K match
• Paid parental leave
• Company-sponsored lunch
• Hybrid mode of work
• Access to continuous learning and development initiatives
• Engage with a vibrant international team
• Access to the mental health and wellness platform
• Multiple social activities for team building

Before you apply

• Recruitment Screen (30 minutes, online)
• Hiring Manager Interview (30 minutes, online)
• System design interview (60 minutes, online)
• Product Insight Discussion (60 minutes, on-site)
• Final Interview (30 minutes, online)

About the company

DataSnipper builds AI solutions that empower audit and finance professionals. The platform is used by more than 600,000 professionals across 3,000+ organizations in 175 countries.