What are the responsibilities and job description for the Director, Product Management - Enterprise Platform - US (Remote) position at Biases, Inc.?
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.
Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today.
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.
We are seeking an experienced Director of Product Management to lead the development of our platform infrastructure, identity management, and enterprise-focused platform. In this role, you will own the product vision and strategy for our platform offerings across multi-tenant, single-tenant, and on-premises customer-managed deployments.
Reporting to the Vice President of Product, you will collaborate with cross-functional teams to design and deliver secure, scalable, and innovative solutions that meet the demands of enterprise clients. Your ability to navigate complex product ecosystems and align technical initiatives with business objectives will be critical in shaping our platform's future and driving customer success.
You will partner closely with the Engineering and Go-To-Market Teams to improve the enterprise customer experience. You will explore complex and exciting technical problems across our stack from the Python client to the web app across different deployment offerings. You will have the opportunity to work on products across the ML lifecycle, including experiment tracking, dataset management, and model optimization.
If you have a passion for solving challenges at the intersection of infrastructure and enterprise needs, and a proven track record in delivering impactful solutions across diverse architectures, we’d love to hear from you!
What you’ll achieve
- Personas : Understand our core user's workflow, dig in on where AI practitioners spend their time, and who else on their teams they interface with.
- Metrics : Dig into existing metrics, identify opportunities to measure user behavior better, and drive projects to capture better metrics. Investigate patterns of user behavior that predict activation, retention, sharing, and conversion to paying customers.
- Interviews : Meet with users and customers and run usability studies to uncover issues and validate hypotheses on how to improve our product funnel.
- Analysis : Analyze the lifecycle of a standard user, and identify how we can show value quickly, capture their daily workflow, and retain our enterprise customers. Test the product, and run through common workflows manually, both in the app and in the client library.
- Collaboration : Work cross-functionally with growth, sales, customer success, ML practitioners, and engineers. Gain insights and communicate hypotheses, goals, and findings in conversations across teams.
- Experiments : Define experiments with clear metrics, spec product, and marketing projects, and own taking the project from inception to launch. Scope projects that include work across surfaces from the web app and client library to documentation, the marketing site, and email campaigns. Work closely with the engineering and growth teams to implement changes, and measure outcomes of A / B tests to identify effective improvements.
- Commercialization : Identify improvements to the user conversion funnel, and make tactical changes to smooth the transition from signing up as a free user to paying for a team, then upgrading to more advanced plans, including both in-product conversion and / or hand-offs to sales.
- Iterations : Revisit successful experiments, and identify if there are opportunities to double down and invest more time in execution.
What we’re looking for :
Nice to have :
Why join us?
Our Benefits
188,000 - $257,000 a year
The US base pay for this position ranges from $188,000 per year in our lowest geographic market up to $257,000 per year in our highest geographic market. This position is eligible for additional variable compensation in the form of a bonus or commission component, which is dependent on personal or company performance. Weights & Biases is committed to providing competitive salary, equity and benefits packages for all full-time employees. Individual compensation will be commensurate with the candidate's experience, qualifications, and geographic 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 careers@wandb.com.
LI-Remote
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Remote working / work at home options are available for this role.
Salary : $188,000 - $257,000
