Office Manager & Executive Assistant

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our upcoming San Francisco office location 5 days per week in addition to travel to our San Jose headquarters. What You’ll Do  Manage all scheduling and prioritization of day-to-day activities, including travel, for executive team members, in a dynamic environment with fluctuating priorities Own all aspects of calendar and meeting coordination for executives Work with our current executive assistant to help plan and execute departmental and company offsites Coordinate meetings with internal employees, external partners, and international contacts, often on short notice Assist in the management of our San Jose Office including, but not limited to: Monitoring the appearance of conference rooms and reception area Providing office services which include: The processing of all incoming and outgoing US Mail, FedEx, UPS, or any other agent of choice carrier The procurement of departmental and general office supplies, including coffee and general snacks and drinks Handle a wide variety of activities and confidential matters Plan ahead, keeping executives on top of upcoming commitments and responsibilities Build positive working relationships across the company Help complete projects and assignments by clearly establishing objectives and goals. Determine priorities, managing timelines, gain cooperation of cross-functional partners, monitor progress, problem solve and adapt to changing requirements You Have a minimum 3-5 years of administrative experience Have experience in a field that requires a high level of organization, sense of urgency, and project/people coordination  Experience working in a fast paced work environment Able to coordinate, cancel, reschedule, organize, book travel, and research with short notice  Are incredibly organized, paying close attention to detail, with a strong ability to execute  Have a forward-looking mindset, able to anticipate and respond to the needs of others before they come up Are resourceful, creative problem solver, adaptable to various competing demands while remaining approachable to the team Have excellent communication skills (verbal, written, interpersonal) Demonstrate a proven ability to handle confidential information or sensitive situations with discretion Can quickly shift tasks and priorities as needed  Take initiative, extremely effective independently, and can complete projects on time without constant supervision Possess strong knowledge of G-Suite platforms  About Lambda We offer generous cash & equity compensation Investors include Gradient Ventures, Google’s AI-focused venture fund We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG We have a wildly talented team of 200, and growing fast Health, dental, and vision coverage for you and your dependents Commuter/Work from home stipends 401k Plan with 2% company match Flexible Paid Time Off Plan that we all actually use Salary Range Information  Based on market data and other factors, the salary range for this position is $75,000 - $110,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.  A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.