far.ai - Senior Project Manager, Events
Requirements
• High-volume event project leadership • 5-8 years experience managing large-scale or high-complexity events from start to finish. • Demonstrated experience managing a high volume of events concurrently • Able to hold a large amount of detail across multiple workstreams without losing sight of the big picture, and communicate both clearly to different audiences. • Energised by a fast pace and a full plate, not just tolerant of it. • Cross-team coordination • Demonstrated ability to manage multiple stakeholders, competing timelines, and overlapping priorities with confidence. • Experience coordinating remote individuals, teams, event contributors, and vendors across time zones and cultures. • Operational mastery • Strong experience in logistics, vendor and venue management, and on-site operations. • Knows what it takes to get something from concept to live, with many moving pieces and hard external dependencies. • Project management tools & systems • Proficiency in project management tools (e.g. Asana, Coda, Airtable) and the judgement to know which tool fits which problem. • Experience building or improving delivery systems in a team that is scaling. • Clear, structured, and proactive communicator comfortable writing external emails, internal briefings, and playbooks. • Believes in sharing knowledge openly and building team-wide expertise. • Autonomy & judgement • Proven ability to operate independently, manage ambiguity, and make sound judgement calls under pressure. • You spot risks early, dig into the details, and take action before small issues become big ones. • Mission alignment • Genuine interest in FAR.AI http://FAR.AI’s work and motivation to contribute to a well-run, high-functioning team. • Willingness to travel to events up to 40% of the time. • Experience working in a non-profit, consulting, or private sector environment. • Scrum / agile experience: hands-on experience running sprint or agile delivery cycles, ideally as a Scrum Master, PMP, or equivalent. • Familiarity with AI safety or adjacent technical fields. • Background working across distributed or remote teams. • You will be a full-time employee of FAR.AI http://FAR.AI, a 501(c)(3) research non-profit. • Location: both remote (US only) and in-person (Berkeley, CA) candidates are welcome. • Hours: full-time (40 hours per week). The role involves regular travel for events, approximately one trip per month. • Compensation: $115,000-$150,000 per year depending on experience and location. Work-related travel and equipment expenses are covered. In-person staff receive catered lunch and dinner at our Berkeley office. • Benefits: comprehensive health, dental, and vision insurance, generous paid time off and holidays, and a range of other benefits.
Responsibilities
• High-volume event project management and delivery • Own end-to-end project planning and delivery for multiple assigned events running concurrently, from initial kickoff through post-event wrap. • Move quickly and fluidly between events at different stages: one in planning, one in final prep, one wrapping without losing quality or detail on any of them. • Manage the full logistics checklist across events: venue and vendor coordination, participant invitations and communications, budget tracking, on-site execution, and post-event wrap-up. • Make real-time calls on scope, resourcing, and sequencing when things change, which they will. • Work closely with designated teammates to ensure timelines are realistic, dependencies are mapped, and nothing falls through the cracks. • Team enablement • Support junior PMs by ensuring they have full context on events from the design stage, not just execution, so they can take real ownership rather than just completing tasks. • Build the habits and systems that let the team operate with increasing autonomy over time. • Act as a model for what good, high-throughput project management looks like in practice. • Cross-team coordination • Coordinate dependencies between events and across functions (content, communications, operations, technical infrastructure) so planning pods aren’t blocked waiting on each other. • Flag capacity issues, timeline conflicts, and resource gaps early, with a clear recommendation on how to resolve them.
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