In-House Tech Transactions Counsel — AI & Innovation

Crossing Hurdles; United States; On-site; USD 110,000 - 160,000; Full time

Job summary

Crossing Hurdles seeks an experienced contracts professional to steer technology transactions and AI-related negotiations. In-house experience is required to review, redline, and craft favorable terms for complex technology agreements.

You will collaborate with product and research teams to shape data guidelines, provide expert feedback to improve model performance, and ensure clarity and precision in both written and verbal communications. This role demands strong analytical and legal expertise.

Qualifications

• At least 3 years in-house experience in technology transactions.
• Excellent written and verbal communication skills.
• Strong analytical abilities and legal expertise.
• Proven commitment to innovation at the intersection of law and technology.
• Experience with MSAs, NDAs, and DPAs preferred.
• Ability to work with cross-disciplinary teams in fast-paced settings.
• Exposure to AI or legal tech is advantageous.

Responsibilities

• Perform simulated contract negotiations and redlining exercises.
• Review and assess AI responses to contract scenarios.
• Create evaluation frameworks to assess AI performance on contract tasks.
• Collaborate with product and research teams on data guidelines.
• Provide expert feedback to improve model performance and precision.
• Negotiate contracts, focusing on technology transactions.
• Maintain meticulous attention to detail in written and verbal communication.

Skills

Written communication

Verbal communication

Analytical thinking

Legal expertise

Innovative mindset

Cross-disciplinary collaboration

AI/legal tech exposure

Tools

MSAs/NDAs/DPAs

Job description

Crossing Hurdles seeks an experienced contracts professional to steer technology transactions and AI-related negotiations. In-house experience is required to review, redline, and craft favorable terms for complex technology agreements.

You will collaborate with product and research teams to shape data guidelines, provide expert feedback to improve model performance, and ensure clarity and precision in both written and verbal communications. This role demands strong analytical and legal expertise.