At Weights & Biases, our mission is to build the best developer tools for machine learning. We're hiring Sales Engineers who will be responsible for delivering the technical win and product fit while also enabling our prospects to understand the benefits of our developer tools. It is critical for this role to build customer trust in our platform which will aid the sales and customer success organizations and engage in ground-breaking research by using our developer tools in their machine learning pipelines. Weights & Biases is a series B company with $60 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, Samsung, NVIDIA, Salesforce, GitHub, Blue Cross, Lyft, and more

Sales Engineers are the trusted advisors to Weights and Biases' prospects and clients, showing how the W&B platform addresses client business requirements. Sales Engineers are responsible for driving and managing the technology evaluation and validation stages of the sales process. Sales Engineers are the product advocates for Weights and Biases Enterprise Edition. They focus on the technical solution while also understanding the business outcomes the customer is trying to achieve.

This is a perfect opportunity for anyone who has technical pre-sales experience, is customer-oriented, and is looking to work with the top ML companies in the world.

What you'll do in this role:

• Partner with Account Executives during the sales cycle to demonstrate the technical capacities of the platform and the concrete benefits it brings to customers
• Lead technical demonstrations onsite or via video conference
• Work with the sales team to identify and qualify business opportunities and identify key customer technical objections. Develop strategies to resolve technical impediments
• Gather technical requirements from prospective clients and map Weights and Biases tools to the prospective clients’ unique requirements/pain points
• Aid customers in instrumenting the W&B platform for POC/PO
• Own the Proof of Concept to technical win
• Assist in the creation of blogs and technical content
• Engage with the community on forums/groups
• Guide technical evaluations via POC/POV ownership, RFP/audit support, and workshop design.
• Collaborate with the product team while representing customer requirements and feedback

We're looking for:

• Technical presentation and communication skills
• Quick learner, self-starter and comfortable working with ambiguity
• Deep and demonstrable knowledge of Python and ML frameworks such as Keras, PyTorch, Tensorflow
• Bachelor’s degree in Mathematics, Engineering, Computer Science is helpful but not required
• Ability to understand the workflow and tools used by data scientists and ML engineers
• Excellent communicator and presenter; able to win the confidence of a technical audience and simplify messaging
• Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray
• Experience with hyperparameter optimization solutions
• Experience with data engineering, MLOps and tools such as Docker and Kubernetes
• Experience with data pipeline tools
• Experience as an ML educator and/or building and executing customer training sessions, product demos and/or workshops at a SaaS company
• Experience with cloud platforms (AWS, GCP, Azure)
• Experience with Linux/Unix

Why join us?

• Top-tier machine learning teams rely on our tools for their daily work at companies including OpenAI, Toyota Research Institute, Lyft, Samsung, and Pandora.
• You'll never stop learning. This role gives you first-hand experience talking with leading researchers in the field, understanding their problems, and directly shaping the product direction.
• Our experienced founding team has successfully built and sold ML tools in the past at Figure Eight, and their deep knowledge of our industry, empathy for our users, and skillful management is driving W&B to success.
• Customers genuinely benefit from our tool. Here's a quote from Wojciech Zaremba, Cofounder and Robotics Lead, OpenAI: "W&B allows to scale up insights from a single researcher to the entire team, and from a single machine to hundreds of them."
• A best-in-class product in one of the fastest-growing and largest market segments

Our Benefits

• 100% health insurance coverage for employees, including vision, dental, and family coverage
• 401k
• Unlimited vacation time
• Parental leave
• Competitive salary
• Equity
• Work remote flexibility

W&B is free for individuals and academic users. We'd love if you created a project and made a report in W&B on any topic that interests you. You can find inspiration and examples of reports at wandb.ai/gallery.

We are looking for individuals located in the United States to cover the pacific time zone and eastern time zone.

We encourage you to apply even if your experience doesn't perfectly align with the job description. Team members who love to learn and collaborate in an inclusive environment will flourish here. 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 careers@wandb.com.

Candidates can expect the hiring process to follow the order below. Please keep in mind that candidates can be declined from the position at any stage of the process.

Select candidates will be invited to schedule a screening call with our recruiting team.

Next, candidates will be invited to schedule a call with the VP of Customer Success.

Candidates will be invited to meet with the sales team and could include sales leads

Finally, candidates will be asked to deliver a demo/presentation to the interview team.

Successful candidates will be made an offer following the above criteria has been met and reference checks are completed.