This Role- Advance our multiplayer agentic harness so humans, agents, firm systems, and clients can collaborate on shared work with the right context, permissions, and accountability.
- Design multi-agent workflows using orchestration and actor models so agents can divide work, coordinate with people and other agents, and recover when plans change.
- Build shared task and state management so work moves reliably between agents, attorneys, clients, and firm systems without losing context or ownership.
- Make agents more effective across software through computer use and deep integrations with the systems a professional services firm depends on.
- Turn expert interactions into learning signals by capturing how people delegate, correct, and review work, along with the context behind their decisions.
- Build memory and continual learning systems that improve how agents support each person and the collective firm, while making it easy to adopt new training methods and frontier models.
- Improve evaluation frameworks that connect agent performance to economic outcomes, measuring the quality, cost, time, and human effort required to deliver client work.
- Build dynamic, collaborative interfaces where people and agents can work together to review documents, compare alternatives, and resolve exceptions.
- Define new ways to delegate, monitor parallel work, request input, and approve consequential actions across teams and client relationships.
- Give firm leaders a live view of operations, connecting priorities, ownership, dependencies, and progress across people, agents, and matters.
- Engineer for high-stakes collaboration with permissions, confidentiality controls, audit trails, secure execution, and reliable recovery built into the platform.
- Make legal precedent more useful to agents and apply general capabilities to demanding workflows such as due diligence, cap table reconciliation, and transactional document review.
- Bring clients into the workflow through portals and shared workspaces that connect their questions, documents, and decisions to the attorneys and agents moving matters forward.
- Push our own engineering practices forward by building with coding agents, testing new approaches to agentic development, and measuring their effect on delivery speed and software quality.
- Conduct novel AI research grounded in real professional work, publish findings, and contribute to the research community through collaboration and conference talks.
Compensation and BenefitsBase salary: $250,000 to $400,000 per year
The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills, experience, and relevant education or training.
Equity: Included
Benefits: 401(k) with employer match, health, dental, vision coverage, unlimited paid time off, free lunch in office daily, employee referral bonus program
Relocation: For candidates needing to relocate to NYC, we provide relocation reimbursement.
Work LocationLocation: NYC
Workmodel: Hybrid
To learn more about Norm, visit our
website.
