Executive Assistant, Weights & Biases
$101-139k
+ Equity
More information about location
MLOps platform for developers
Open for applications
MLOps platform for developers
201-500 employees
Open for applications
$101-139k
+ Equity
More information about location
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- Minimum of 5 years of experience directly supporting 1 or more executives (C-Suites preferred) in a venture-backed rapidly growing organization; prior experience interacting with Board members and investors strongly preferred
- Experience planning team off-sites, internal events and executive travel
- Excellent written and verbal communication skills
- Exceptional organizational and time management skills, with strong attention to detail and a proven ability to take ownership of multiple projects
- Demonstrated ability to handle confidential information with discretion and emotional intelligence
- Ability to exercise strong business judgment, meet deadlines, and balance multiple requests
- Ability to work independently and as a member of cross-functional teams
- Strong interpersonal skills and ability to quickly build rapport with internal and external partners
- Excellent problem-solving skills, with an ability to recognize opportunities and develop ways of addressing them
- Optimistic, reliable and flexible attitude
What the job involves
- We are looking for an experienced Executive Assistant to partner with our C-level executives
- This role will be responsible for keeping track of challenging schedules, juggling multiple projects and priorities, and will help to drive the day-to-day of our business
- Proactively manage, assess and predict the day-to-day needs of the CEO to ensure they are prepared and organized for all internal and external meetings and events
- Schedule time-sensitive meetings with Board members, investors and external parties as needed; follow up professionally and persistently as needed
- Understand your execs goals and objectives in order to effectively anticipate deliverables and follow up when necessary
- Provide a consistent organizational cadence and structure for the executives and their organization
- Build rapport with leaders within the organizations you support and key cross-functional stakeholders to serve as a catalyst around scheduling and/or spontaneous inquiries and requests
- Seamlessly manage email coordination, calendar scheduling, travel, expense reporting, and a wide variety of priorities for your execs
- Demonstrate strong calendar management (multi-time zones) for travel and scheduling of meetings
- In addition to the general administrative duties of an Executive Assistant, assist with ad hoc projects as needed, including file organization, sending contracts for signature to CFO or CEO, and other setting up various team and cultural events both within the teams and across the organization (i.e. department all hands, offsites, special projects)
- Maintain the highest degree of confidentiality and judgment on the sharing of information
- This role will at times require early morning, late evening, or weekend work
- Support interview activities and events as needed in our San Francisco Headquarters
Our take
Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. In order for deep learning to work, it’s necessary for companies to be able to monitor how the models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from its competitors such as IBM Watson Studio and Valohai by focusing exclusively on machine learning practitioners and not on sales aspects of the technology, and by its competitive pricing.
The company has also launched a product to help different parties collaborate on machine learning models. This is geared at researchers, reducing the need for them to rerun their training examples repeatedly. Over time, this will help to move machine learning technology forward. What's more, W&B's technology is free for personal and academic use, which has fueled adoption enormously, and it is now being used by research institutions such as UC Berkeley and enterpise companies like Samsung and Salesforce.
The dependence on machine learning is growing as more and more companies begin to use artificial intelligence to handle business tasks, so demand for this sort of software is rising. Having raised substantial funding, W&B is moving to futher develop its product, grow its team and increase its marketing reach.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Aug 2023
$50m
LATE VC
Oct 2021
$135m
SERIES C
Total funding: $250m
Company benefits
- 🏝️ Unlimited vacation time
- 🩺 100% Medical, Dental, and Vision for employees and Family Coverage
- 🏠 Remote first culture with in-office flexibility in San Francisco
- 💵 $500 home office budget with new high-powered laptop
- 🥇 Truly competitive salary and equity
- 🚼 12 weeks of Parental leave
- 📈 401(k)
Company values
- We're building a culture where people love coming to work to build cool things and collaborate with other smart people
- It’s important to us that everyone feels comfortable being themselves and being honest with each other, and all of us take responsibility for making our customers successful
- We love to work with people who are driven, kind and proactive
- We care about diversity and if you are part of an underrepresented minority, we especially encourage you to apply to work here
- We are contributing to responsible AI with tools for transparency and reproducibility in model development and deployment
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Chris Van Pelt
(CISO)Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).
Lukas Biewald
(CEO)Earned a BS in Mathematics and MS in Computer Science from Stanford University. Previously Research Scientist and Founder, CEO of Figure Eight (acquired by Appen).
Shawn Lewis
(CTO)Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.
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