Endex

Legal Counsel (First In-House Counsel) at Endex (New York, NY)

Endex· New York, NY·

Role details

Work type
Onsite
Employment
Full-Time

Job description

Who We Are

Endex builds AI agents that handle complex, end-to-end work for the world's most demanding teams. Today we're deployed across leading financial institutions and Fortune 500 companies, embedded in the tools and workflows they rely on. We operate at the frontier of agentic knowledge work, partnering closely with top AI research labs and backed by the OpenAI Startup Fund. We're on a mission to build the most capable digital coworker in the world.

About the Role

Location: New York City Commitment: 5 Days In-Person We're hiring our first in-house counsel to build Endex's legal function and help the company grow with clear, practical legal advice. As Legal Counsel (First In-House Counsel), you'll own enterprise contracting, advise on product, privacy and AI-related legal questions, and build the processes that keep legal work moving. You'll work directly with leadership, sales, product, engineering and security, and manage outside counsel when additional expertise is needed. This is a hands-on role for a lawyer who enjoys broad ownership and building from the ground up.

Your Key Responsibilities

  • Own Commercial Contracting: Draft and negotiate enterprise customer agreements, data-protection addenda, vendor contracts, NDAs and partner terms. Help deals move while protecting the commitments that matter.
  • Advise on Product and Privacy: Work with product and engineering on AI features, data use, intellectual property and privacy from design through launch. Turn legal requirements into clear, workable guidance.
  • Partner with Leadership: Advise on day-to-day corporate and business matters, explain material risks and recommend practical paths forward.
  • Build the Legal Function: Establish templates, negotiation playbooks, approval processes, contract records and matter tracking that scale with the company.
  • Support Customer Trust: Partner with security and compliance owners on customer diligence, privacy commitments and accurate explanations of our product and data practices.
  • Manage Outside Counsel: Identify when additional expertise is needed, scope engagements and turn advice into timely decisions.

What We're Looking For

  • Qualified Attorney: You hold a JD or equivalent legal qualification and active bar admission, with eligibility to serve as in-house counsel in New York.
  • Relevant Legal Experience: You've negotiated enterprise technology agreements and advised a growing software business, in-house or through private practice.
  • Broad Legal Judgment: You can handle a range of commercial, product, privacy and corporate questions, recognize the limits of your expertise and bring in outside counsel when appropriate.
  • Practical Business Advice: You explain tradeoffs clearly and distinguish material risk from issues that can be resolved with workable terms or processes.
  • Technical Curiosity: You want to understand how AI products work, how data flows through them and what we promise customers.
  • Ownership and Communication: You can prioritize competing needs, work directly with decision makers and build reliable processes with limited existing infrastructure.

Nice to Have

  • Experience as an early legal hire at a technology company
  • Experience negotiating with financial institutions or other regulated enterprises
  • Experience with AI products, privacy programs and international data-protection requirements

Full-Time Benefits

  • Health & Dental Insurance
  • Monthly Wellness Stipend
  • 401K Matching

Why work at Endex

  • Culture: Fast-moving AI startup backed by OpenAI, working on cutting-edge reasoning models applied to a high-stakes domain. Team is small (~20 people) with a technical majority (37% of headcount in engineering/research).
  • Remote/Hybrid: Offices in New York City (HQ) and team members across Israel, Canada, and Brazil – likely flexible work arrangements.
  • Notable perks/engineering culture:
    • Direct access to OpenAI’s latest models and research collaboration.
    • Opportunity to solve hard problems in financial AI (multimodal analysis, agentic workflows, reinforcement fine-tuning).
    • Emphasis on continuous evaluation and improvement – the team tracks metrics like response latency and reasoning depth.
    • Recent hires from top firms (Jump Trading, Two Sigma, Shopify) and university partnerships (Columbia Business School).

Application questions