Norm Ai embeds law into AI agents, powering critical legal and compliance workflows, and governing AI agents operating in regulated environments. Backed by Khosla.
About the role
Design the strategy: Define the go-to-market strategy for field programs: what we do, where we show up, and how we win in this market Own end to end execution: Develop programs from scratch, execute flawlessly, and create meaningful engagement opportunities with leaders that drive pipeline growth and revenue.
What they're looking for
- 5-7+ years of experience in field, events, or ABM marketing
- A track record of building an events strategy vs. simply managing an established calendar
- Creative and strategic thinking, you can turn a vague idea or goal into a concrete, compelling plan and see it through to execution
- Exceptional executive presences. You have the confidence to engage senior leaders as a peer, not just a planner, and you build credibility fast
- Strong ownership of programming, where to prioritize, how to move projects forward, and work quickly
More about this role
About Norm Ai
Norm Ai, the agentic law company, has a client base with a combined $30 trillion in assets under management.
Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world.
Norm Ai is also the technology behind Norm Law, LLP, a separate but affiliated AI-native law firm built for the era of agentic AI. Norm Law’s attorneys advise leading institutions across private funds, private equity, venture capital, real estate, registered funds, and financial regulation, using the same legal intelligence platform that powers Norm Ai’s products.
Norm Ai expects all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end.
Candidates should be prepared to demonstrate and discuss their AI usage throughout the interview process, including concrete examples of...
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