Senior Director, AI Strategist

About Norm Ai

Norm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.

We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.

We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in assets under management, and growing quickly.

Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.

We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff.

This Role

As an AI Strategist at Norm Ai, you’ll play a pivotal role at the intersection of product, sales, and client strategy - helping enterprise customers understand what’s possible with AI, how it applies to their business, and why Norm is the best partner to execute on it. This is a high-impact, client-facing role for someone who blends domain expertise with strategic thinking and can translate complex AI capabilities into real business value.

You’ll work closely with our Sales, Product, and Legal Engineering teams to engage C-level executives at regulated enterprises, shape vertical-specific AI narratives, and guide client organizations through AI transformation. You are not a research scientist, but you are deeply fluent in AI, especially as it applies to enterprise and regulatory use cases.

What You’ll Do

• Join early-stage prospect and discovery calls to contextualize Norm’s AI capabilities for enterprise clients in regulated industries.
  

• Deliver tailored AI strategy briefs and vision decks to C-level stakeholders, linking compliance workflows to AI transformation initiatives.
  

• Help clients scope and overcome legal, compliance, and governance hurdles around AI adoption.
  

• Act as a thought partner to Sales and Solutions Engineering, shaping strategic narratives across financial services, insurance, and healthcare.
  

• Run internal workshops to level up GTM teams on enterprise AI adoption trends, risk management, and implementation paths.
  

• Partner with Product and Legal Engineering to translate abstract client problems into actionable product feedback and roadmap direction.
  

• Track market trends in enterprise AI, identifying key opportunities and risks across industries and accounts.
  

• Develop and refine toolkits, frameworks, and materials that help clients assess their AI maturity and prioritize high-impact use cases.
  

• Author white papers, executive content, and speaking materials that position Norm as the category-defining platform for AI + compliance.
  

Skills & Experience – Core

• 6+ years in a strategic advisory, GTM, or client-facing role, ideally at an AI-first or enterprise SaaS company.
  

• Demonstrated experience driving or advising AI transformation in complex enterprise or regulated settings.
  

• Strong executive presence with a proven ability to communicate AI concepts to C-level and Director-level stakeholders.
  

• Deep understanding of the legal, compliance, and operational challenges facing AI adoption.
  

• Technically fluent: you don’t need to write code, but you can credibly discuss how AI systems work and how they break.
  

• Skilled at cross-functional collaboration with sales, product, legal, engineering, and client success teams.
  

• Strategic thinker with sharp instincts, strong storytelling ability, and an obsession with client value.
  

Skills & Experience – Pluses

• Prior experience in legal tech, regtech, enterprise SaaS, or consulting.
  

• Familiarity with LLMs in production environments and AI governance models.
  

• Experience selling into or advising clients in financial services, insurance, or healthcare.
  

• Background in consulting, enterprise transformation, or internal strategy at a tech company.
  

• Series A/B startup experience, ideally in a high-growth GTM environment.
  

What Success Looks Like

30 Days
You’ve joined strategic client and prospect calls, built a clear understanding of Norm’s AI capabilities, and started collaborating on tailored messaging for enterprise accounts. You’ve developed an early POV on industry trends and client pain points.

90 Days
You are a trusted partner in key sales cycles and are regularly delivering strategic briefs and recommendations to C-level buyers. You’ve built frameworks for evaluating AI maturity and helped GTM teams sharpen their industry narratives.

120 Days
You’re leading strategic initiatives across sales, product, and marketing. Clients recognize you as an advisor and thought partner. Norm is actively evolving based on your insights, and your work is directly shaping how we win in the enterprise market.

Comp and Benefits

$250,000-350,000 a 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 (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.

We embrace a flexible hybrid model, typically in-office 3–4 days per week.

If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.