kairos-project - Generalist (Talent Ops)
Requirements
• This could include things like: • Completing an AI safety course from BlueDot, CAIS, or AI Safety Atlas • Reading an AI safety book like The Precipice, The Alignment Problem, Uncontrollable • Engaging with projects like AI 2027, Situational Awareness, etc. • Reading/posting on LessWrong • Note that we don't require experience with AI safety. • What's something unusual you've accomplished (ideally outside of work)? • We're looking for things that don't fit the typical resume—the weirder the better. Think: starting an underground dinner series, speedrunning an obscure video game at a competitive level, building a solar-powered vehicle from scratch, whatever. Can also just be something you're proud of. • Tell us what it was, why it stands out, and what drove you to do it. • Logistical information • What is your career staage? • Undergraduate student • Master's student • 5 years of professional experience)">Mid Career (>5 years of professional experience) • When is your earliest available start date? • Start date context • Please indicate if you have any other time sensitivities we should be aware of or any more context you'd like to provide. • Where are you currently located? • Where do you anticipate working from if you were to be hired for this role? • Will you require visa sponsorship now or at any point in the future? • We might be able to sponsor O-1 US visas, but this is evaluated on a case-by-case basis. • If you selected "Other" in the previous question, where do you have work authorization? • Are you interested in similar opportunities at other AI safety organizations? * • We’ll only share your details if you give us permission below. This won’t influence your application decision, and you can opt out at any time by emailing [email protected] • If you selected "Other" in the previous question, please elaborate on whether you'd like us to recommend you and share your information with similar types of AI safety orgs • How did you hear about this opportunity? • Please provide specifics for how you heard about these roles (e.g the name of the Slack workspace you saw it in, which job board you found it from, the name of the person whose LinkedIn post you saw, etc.) • Feel free to share any additional information you think might be relevant. For example, details about your availability, constraints on your potential dedications, or relevant things you left out of your LinkedIn profile. • Submit Application
Responsibilities
• In your first 4-6 months, growth is the priority: • Run internal hiring end-to-end. This may include writing job descriptions, sourcing candidates through our networks, screening candidates, running trial tasks and interviews, and tracking the whole pipeline. • Build and scale the hiring infrastructure. You’ll design applications, trial tasks, interview rubrics, reference check templates, candidate tracking. Much of this doesn’t exist yet in a systematized or scalable way. • Pitch in on broader Kairos work as capacity allows. Review grant applications, help on active programs like SPAR, Pathfinder, and Generator, build relationships across the AI safety ecosystem, and ship small cross-team projects alongside hiring. • Once hiring stabilizes: • Generalist work across Kairos. This is inherently subject to change, but this candidate might do things such as shaping our org strategy, designing and managing programs, building relationships across the AI safety ecosystem, and shipping high-impact projects independently. • Expansion into talent operations. Talent operations is Kairos’s emerging function for routing people inside and outside of our programs to high-impact roles across the AI safety ecosystem. Concretely, this could mean matching SPAR and Pathfinder alumni to open roles at partner orgs, proactively surfacing strong candidates to hiring managers before they ask, helping build out Talent Commons (our consent-based shared talent database for ecosystem partners like MATS, GovAI, and Horizon), or supporting grantmaking for Kairos Funds, our career transition funding program. • Help build the team. Beyond running hiring processes, you’ll weigh in on org design questions: who we need next, how roles should fit together, and what kinds of people we’re missing.
Benefits
• You’ll be working toward reducing risks from advanced AI, potentially the most important challenge of our time. The hires you make will shape who’s working on this and how fast they can move. • The hires you make over the next year will shape Kairos for years after. Few roles have a clearer line from your work to the org’s trajectory. • Growth is the first focus, but the long-term shape of the role is open, with optionality to move into talent operations, program work, or other parts of Kairos as we figure out where your comparative advantage lies. • We’re building a world-class team, so you’ll be in good company. Work alongside people from METR, Coefficient Giving, Rethink Priorities, and CEA who share your commitment to impact. • Collaborate regularly with leading AI safety researchers, policy professionals, funders, and organizers. • Base salary: $130,000–$200,000 USD, depending on experience and location, with potential for additional compensation for exceptional candidates • Retirement: 10% 401(k) contribution or equivalent pension contribution or salary increase • Location: Access to office space in San Francisco, Berkeley, London, or Boston; optional coworking elsewhere. If you work from an AI safety office in San Francisco, Berkeley, London, or Boston, we cover food, lunches, and office expenses. • Benefits: Flexible working hours, highly competitive health insurance, dental and vision coverage, generous vacation policy, and professional development budget • Team retreats: We host all-team retreats twice a year to connect in person, collaborate, and build team culture. • Start date: Ideally by the end of July 2026 • Remote, with expected travel 3-6 times a year for conferences and events, predominantly in the US • We’d also be happy for you to work out of any of the AI safety hubs in San Francisco, Berkeley, London, or Boston, though we have a light preference for people to work out of Berkeley. • We prefer candidates who can attend meetings in the ET time zone (though our team currently spans GMT-8 to GMT+1). • We may be able to provide visa sponsorship to the US, depending on the circumstances (especially, but not exclusively, O-1As). • We’re a small, high-trust team motivated by the urgent challenge of making advanced AI go well. We try hard to figure out where we’re wrong, which means we say uncomfortable things to each other and change our minds fairly often. We value collaborative truth-seeking, a scout mindset, agility, and an alliance mindset with the broader ecosystem. • We also believe meaningful work should be enjoyable. We support each other’s well-being, celebrate wins, and maintain a healthy sense of humor even when the work is hard. • APPLICATION PROCESS • 1. Application form (10–20 mins) • 2. Screening call (15 mins) • 3. Take-home assignment (1.5–3 hours, paid) • 4. Interview (45 mins) • 5. Reference checks • 6. Work trial (3–4 days, paid) • If you’re excited about this role but unsure whether you meet every qualification, we encourage you to apply anyway. • Questions? Reach out at [email protected]. • Know someone who might be a good fit? If your referral gets hired and completes 6 months with us, we’ll pay you a $5,000 referral bonus. Learn more here https://kairos-project.org/referrals.
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