At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications.
Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota.
An Account Executive at Weights & Biases is a quota carrying, enterprise software sales position responsible for meeting and exceeding goals through generating and closing new opportunities while increasing awareness of Weights & Biases in the marketplace. We are looking for motivated, focused, and coachable sales professionals with experience across the full spectrum of the software sales cycle – prospecting, defining and articulating value proposition, pilot process management, business case development, negotiation and closing.
This role is location specific to San Francisco.
Role and Responsibilities
- Drive new business opportunities for selling Weights & Biases software and services engagements within assigned territory
- Develop and implement a sales strategy against assigned territory and/or targeted list of customers
- Develop a deep understanding of, and effectively articulate, the W&B offering and value proposition in the market
- Constantly focused on pipeline generation within the territory to ensure long term success
- Interact with and leverage the Channel and Alliance partner community to find new opportunities and drive existing deals to close
- Manage opportunities through the sales cycle from initial inquiry to forecasted pipeline to deal design and close
- Meet quarterly and annual revenue objectives for your territory
- Provide continuous updates on all active accounts and report on sales, activities, status and progress on a regular basis
- Maintain a high level of customer satisfaction and reference-ability
- Travel for client visits and presentations
Requirements
- Located in San Francisco is required
- Experience selling to developers is required
- 4+ years of progressive SaaS software sales experience to companies - 1-2 years as an SDR, 1 year selling Commercial/Mid-Market, 1 year selling Enterprise
- Track record of success in closing business
- Excellent negotiation, analytical, financial and organizational capabilities. Able to thrive in an evolving, entrepreneurial structure and environment
- Outstanding verbal and written communication skills
- Ability to work at both a tactical and strategic level
- Must possess a can-do, self-starter mentality in a highly collaborative atmosphere
Our Benefits
- 🏝️ Flexible time off
- 🩺 Medical, Dental, and Vision for employees and Family Coverage
- 🏠 Remote first culture with in-office flexibility in San Francisco
- 💵 Home office budget with a new high-powered laptop
- 🥇 Truly competitive salary and equity
- 🚼 12 weeks of Parental leave (U.S. specific)
- 📈 401(k) (U.S. specific)
- Supplemental benefits may be available depending on your location
- Explore benefits by country
We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at [email protected].
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What We Do
Weights & Biases helps machine learning teams build better models faster. With a few lines of code, practitioners can instantly debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions — and collaborate with their teammates.
