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About the role
Every audit starts with evidence, and getting it from the client is one of the slowest, most frustrating parts of the job: spreadsheets of requests, endless email chasing, and documents that turn out to be the wrong ones. Your team replaces that with agentic PBC ("prepared by client"): agents that draft requests from the audit plan, check every document that arrives against what was asked and the standards it must meet, and talk to the client directly to fix what is wrong. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 3+ years leading engineering teams , on top of 5+ years as a software engineer
- An empowerment style of leadership and a track record of hiring and building high-performing teams
- Hands-on experience with agentic or LLM systems in production : you understand control loops, tool calling, human-in-the-loop and evaluation well enough to challenge your team's designs
- Experience building workflow-heavy products with multi-step state, notifications and permissions, ideally with users outside the customer's own organisation
- Strong fundamentals in software architecture, distributed systems, APIs and cloud-native development
- Strong product aptitude: you challenge framing, make roadmap trade-offs, and care about whether customers succeed with what you ship
More about this role
We are hiring an Engineering Manager in our New York office to lead the Evidence Request Management team behind Alwin , our Agentic Automation Platform for audit and finance.
Every audit starts with evidence, and getting it from the client is one of the slowest, most frustrating parts of the job: spreadsheets of requests, endless email chasing, and documents that turn out to be the wrong ones. Your team replaces that with agentic PBC ("prepared by client"): agents that draft requests from the audit plan, check every document that arrives against what was asked and the standards it must meet, and talk to the client directly to fix what is wrong. Pages missing from a bank statement, last year's contract instead of this year's, a sample that does not match the selection: the agent spots it, explains it to the client, and gets the right document, so auditors only see evidence that is ready to use.
These agents run for days or weeks, act on behalf of the firm towards people outside it, and must know when to act alone and when to ask a human. Getting that right, at the scale of the world's largest audit firms and their clients, is the job.
The hardest AI problems aren't about getting an...
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