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.
Reporting to the VP of Engineering, the Engineering Site Lead will own the strategic and operational aspects of managing the engineering site, driving both technical excellence and team cohesion. They will oversee the site’s projects, foster team collaboration, and ensure alignment with company goals.
The Engineering Site Lead will partner closely with cross-functional teams, including Product, Design, and Field Engineering, to deliver scalable solutions, foster a culture of innovation, and drive the growth and success of the engineering team at W&B. This role will be instrumental in ensuring high-quality product delivery and technical leadership across all site engineering efforts.
What You'll Achieve (Responsibilities):
- Lead and manage the engineering team at the site, ensuring alignment with organizational goals and driving technical excellence across all projects.
- Collaborate with cross-functional teams to define project requirements, set milestones, and execute development plans, ensuring timely and high-quality deliverables.
- Serve as the technical leader and mentor for the site, providing guidance on complex technical issues and promoting best practices in software development.
- Drive a culture of continuous improvement by identifying and implementing process enhancements that optimize team productivity and collaboration.
- Foster a positive team environment that encourages open communication, professional growth, and a commitment to quality and innovation.
- Develop and maintain relationships with key stakeholders, ensuring the team’s work aligns with broader company objectives.
- Monitor and report on site performance, identifying key metrics and improvement areas to ensure efficient operations and successful project outcomes.
What We're Looking For (Requirements):
- Proven experience in an engineering leadership role, with at least 5 years of experience managing technical teams and delivering complex projects.
- Strong background in software engineering, with hands-on experience in building highly scalable enterprise software.
- Exceptional project management skills, with the ability to oversee multiple projects and prioritize effectively.
- Ability to lead and inspire a team, fostering a collaborative and growth-oriented environment.
- Strong communication skills, with the ability to convey technical information to both technical and non-technical audiences.
- A strategic mindset, with a focus on aligning engineering efforts with overall business goals.
- Demonstrated success in building and scaling a high-performing engineering team, attracting top talent, and fostering a culture of excellence and innovation.
- Experience working in a fast-paced, growth-oriented environment, with a track record of adapting to changing priorities and requirements.
Core Skills:
- Outgoing and friendly: You'll love this role if you enjoy connecting with real users day to day, helping them solve issues and understand good patterns for using our tools. Day to day you'll be answering questions and requests with a kind, thoughtful tone that makes users feel appreciated and connected to our team.
- Autonomous: If you work well in a self-directed environment, and proactively find ways to improve processes and collaborate with team members or engaged users, your initiative will really shine in this role.
- Curious and driven: Explore machine learning and learn more about the engineering stack and common ML workflows. Solve problems in both fast-paced, short term sprints and in larger, more long-term projects.
- Organized: A core part of engineering support at Weights & Biases is organizing feedback from many channels into a single, orderly stream. Your organization skills and time management will be key to running this process well.
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."
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
- Supplemental benefits may be available depending on your location
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].
#LI-Remote
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.
 (1).png)
