Salary Range: 188000 to 257000 (Currency: USD) (Pay period: per-year-salary)

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:

• 4+ years of product management experience for an enterprise software product.
• Have a deep understanding of enterprise IT requirements and and experience working directly with large enterprises to deploy software consistent with their architectures (e.g. experienced with authentication, authorization, data retention, security audits, etc.)
• Experience making a technical product better, especially improving the developer experience.
• Experience driving the end-to-end product lifecycle, working autonomously to conduct user interviews, dig in on metrics, define requirements, run a process with engineering to deliver the product, measure success, and iterate. You partner with your engineering colleagues, and sweat the details to ensure they have a clear and efficient plan of execution.
• Previous experience in a leadership or managerial role, with a track record of effectively managing and growing teams.

Nice to have:

• Deep understanding of a DevOps workflow and pain points, and a demonstrated interested in infrastructure and cloud operations (comfortable with at least one of the major cloud ecosystems)
• Experience working in a startup context, with demonstrated skills taking ownership and driving ambiguous problems to success.
• Background and keen interest in AI and machine learning

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."

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