Forward Deployed Engineer

About Norm Ai

Norm Ai, the leading Legal & Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust.

Norm’s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise.

We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO).

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. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows.

Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams.

This Role

As a Forward Deployed Engineer on the Deployment Team at Norm Ai, you will be at the intersection of software engineering and client solutions strategy and delivery. Working directly with our enterprise clients and executive team, you will architect and implement AI-driven compliance solutions which integrate seamlessly into our customer’s existing workflows and deliver substantial value and bottom-line savings.

Forward Deployed Engineers are at the leading edge of Norm’s Regulatory AI platform model. They embed with our client teams to build client-specific technical solutions, establish productive long-term relationships with customer SMEs and IT professionals, and sell to executives and other decision makers. They write nimble, high-value code and they close deals.

Skills & Experience – Core

Bachelors or Masters in computer science or an equivalent field, or equivalent practical experience.

• 2+ years experience writing Python or similar for production use.

• 1+ years of experience working with enterprise customers in a technical client-facing role (Sales Engineer, Solutions Engineer, Forward Deployed Engineer, etc.)

• Experience writing ETL data pipelines and working with key customer SMEs to map ambiguous customer data into a coherent data model

• Experience writing APIs, including working with libraries such as FastAPI.

• Experience working with a Postgres database or similar.

• Excited to work/iterate with customers.

Skills & Experience – Pluses

• Experience with React/TypeScript and Next.js.

• Experience with Dagster or Apache Airflow.

• Experience working in a startup and handling highly ambiguous requirements and situations.

You will be expected to:

• Lead technical implementation and integration efforts with enterprise clients, ensuring our AI compliance solutions are effectively deployed at the source of business activities inside large enterprises.

• Work closely with client technical teams to understand their infrastructure, security requirements, and compliance needs.

• Design and implement scalable ETL pipelines to integrate data in internal customer systems into Norm’s platform.

• Work closely with relevant client SMEs to map their business data into a structured data model that Norm’s core product can reference to implement precisely tailored customer business logic.

• Develop client-specific customizations to Norm’s platform to help convert and upsell client accounts where investment is deemed worthy by the client team.

• Lead enablement sessions with client end-users to educate users on how Norm works and evangelize the upsides our platform delivers for people across all levels of the customer’s organization.

• Develop and maintain technical documentation for client and partner implementations.

• Collaborate with our legal engineering team to translate regulatory requirements into practical technical solutions.

What Success Looks Like – 30 days

• Build and deploy your first ETL pipeline, demonstrating proficiency with our core platform and customer deployment patterns.

• Develop a deep understanding of our regulatory AI engine and how it integrates into our customers’ compliance process.

• Lead technical discovery sessions with our enterprise clients.

• Create your first end-to-end organization ontology data model for a customer Norm implementation.

What Success Looks Like – 60 days

• Own multiple client relationships as the primary technical point of contact.

• Architect and implement custom solutions for complex client use cases.

• Contribute improvements to our core deployment framework based on client feedback.

• Identify and document patterns for scaling deployments across similar client systems.

Comp & Benefits

Midlevel Engineer: $145,000-$195,000 a year + employee equity.

Senior Engineer: $190,000 -$250,000 a year + employee equity.

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.

To learn more about Norm Ai, visit our website.