AngelList

AngelList

Principal Recruiter

San Francisco, CA · Principal

Sponsorship not specifiedDetected 55 days ago
LeadershipProblem SolvingAdaptability

About the role

  • The right person will be a creative and adaptable generalist, capable of earning trust and delivering successful hires for key roles across the company.
  • It will be a high-impact, high-exposure role, working closely with AngelList's leadership.
  • And on our team, that starts with recruiting high-agency and high-curiosity builders to accelerate problem solving and business growth.

Responsibilities

  • We do this by building the financial infrastructure that makes it easier for more people to invest in world-changing companies.
  • We support $171B+ in assets and have powered investments into over 13,000 startups-over 300 of which are unicorns.
  • If you're excited to build the future of private markets, come build with us.
  • Our beliefs and values shape what we work on and how we create impact.
  • We support your life both in and outside of work.
  • At AngelList, we are united in our purpose to accelerate innovation and build the future of private markets.

Compensation

  • The compensation for this role consists of a competitive base salary, benefits, and equity package.
  • The base salary for this role is $200,000+ annually but actual will vary based on a number of factors including a candidate's professional background, experience, and location.

Benefits

  • Explore our benefits
  • We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
  • Full details about our Total Rewards package will be provided during the recruitment process.

Company info

  • AngelList is the nexus of venture capital and the startup community.
  • Our values & leadership expectations

Equal opportunity

  • equal opportunity employer and we value diversity at our company.

This listing is sourced directly from AngelList's careers page and normalized into a canonical job model.