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Employment Counsel

Lambda· G&A
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Hybrid (San Francisco Office (Second St)), Hybrid (New York, NY)$189k - $280kFull-timePosted 4d ago

About the role

Employment Counsel at Lambda provides legal partnership to People team and business leaders on employment matters across a global workforce, advising on the full employee lifecycle, international expansion, policies, investigations, and corporate transactions.

Responsibilities

  • Provide practical, day-to-day employment counsel to People Partners, Talent Acquisition, Total Rewards, and managers across the employee lifecycle (hiring, onboarding, compensation, leave and accommodation, performance management, discipline, separation)
  • Advise on wage and hour compliance (including exempt/non-exempt classification and California requirements), contractor/consultant classification, and multi-state employment compliance
  • Handle sensitive employee relations matters and separations, including drafting and negotiating separation and release agreements
  • Partner with Recruiting and the People team on offers and hiring; own employment templates (offer letters, employment agreements, confidentiality and invention assignment agreements)
  • Draft and negotiate bespoke employment agreements for senior/specialized hires; maintain contractor, consultant, and advisor agreements; advise on engagement models
  • Assist with international expansion: decide on EOR/PEO vs local entity, manage providers and transitions; build local entity documentation, policies, compliance
  • Advise on international employment matters across lifecycle and manage local outside counsel
  • Conduct or oversee workplace investigations into harassment, discrimination, retaliation, misconduct
  • Manage agency charges, demand letters, arbitrations, and litigation with outside counsel
  • Own and update employee handbook, policies, and notices across U.S. states and international locations
  • Advise on compensation programs with employment implications (incentives, commissions, pay transparency, pay equity)
  • Support employment compliance for data center/operations workforce (scheduling, overtime, safety)
  • Design and deliver training for managers and People team
  • Support employment aspects of corporate transactions (M&A, reorganizations, reductions in force, WARN, international collective consultation)
  • Partner with corporate and securities counsel on employment matters tied to growth and public company readiness
  • Build scalable processes, templates, and self-serve resources for the People team

Qualifications

  • JD from an accredited law school and active admission to practice in at least one U.S. jurisdiction (California bar preferred, or eligibility for California Registered In-House Counsel)
  • 7+ years of employment law experience (ideally including time at a law firm with labor/employment practice and in-house at a tech/high-growth company)
  • Hands-on experience supporting international expansion (EOR/PEO providers, local entities, transitions between models)
  • Deep knowledge of U.S. federal and California employment law; working familiarity with UK, EU, Canada, APAC employment frameworks
  • Experience conducting workplace investigations and managing employment litigation and agency matters
  • Ability to give clear, pragmatic advice balancing legal risk and business objectives; good communication skills
  • Low ego, high ownership, and ability to build structure in a fast-moving environment

Skills

Required:Employment lawWorkplace investigationsContract drafting & negotiationEmployment complianceInternational expansion & EOR/PEO

Benefits

  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Lambda

The Superintelligence Cloud

The gigawatt-scale AI GPU Cloud built for superintelligence. Featuring on-demand & reserved cloud NVIDIA HGX B200, B300, GB200, GB300 and H200 GPUs for AI training & inference.

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