Account Manager (W&B)

What You’ll Do:

The Account Manager owns the commercial and relationship aspects of the post-sales journey across a portfolio of Digital Native and select Enterprise customers. You will drive renewals, identify and close upsell and cross-sell opportunities, and ensure customers achieve measurable adoption outcomes with Weights & Biases (W&B). You’ll partner closely with Field Engineering (FE)—who leads technical success—while you lead the commercial motions including renewal execution, usage-to-value alignment, growth pipeline creation, and multi-threaded stakeholder engagement.

About the role:

You will own renewals and lead commercial execution across your assigned accounts, including identifying and closing upsell and cross-sell opportunities. You will partner closely with Field Engineering (FE) while running the commercial motions: renewal execution, usage-to-value alignment, growth pipeline creation, and multi-threaded stakeholder engagement. You will maintain detailed account plans (account maps, whitespace, usage trends, risks, and growth opportunities) and maintain weekly forecasting accuracy and CRM hygiene across renewals and growth motions. This role requires comfort engaging highly technical personas (ML engineers, researchers, PhDs) and operating with autonomy in a rapidly evolving AI ecosystem; it is not a playbook-driven role.

• Own renewals, upsells, and cross-sells across your assigned accounts.
• Build and maintain detailed account plans including account maps, whitespace, usage trends, risks, and growth opportunities.
• Generate growth pipeline by identifying new use cases, teams, and product opportunities within existing accounts.

Who You Are:

• Based in the Bay Area (San Francisco, Peninsula, South Bay) strongly preferred; secondary options: New York City or Northern NJ.
• 6+ years in B2B/SaaS customer-facing roles commercializing technical products.
• 3+ years in a quota-carrying Account Management, Sales, or Renewals role owning post-sales outcomes.
• Strong, genuine interest in AI/ML and the evolving machine learning ecosystem.
• High technical and product curiosity; comfortable speaking with developers, ML engineers, and researchers.
• Proven ability to drive growth motions (upsells, cross-sells) and manage retention in technical accounts.
• Strong operational discipline: forecasting accuracy, CRM hygiene, renewal cadence management.
• Thrives in ambiguity; able to self-direct and operate independently without detailed playbooks.

Preferred:

• Experience working with ML, MLOps, DevOps, or data infrastructure teams.
• Familiarity with Git, Jupyter, Python, PyTorch, or cloud platforms (AWS, GCP, Azure).
• Experience designing or executing account activation or expansion strategies.
• Exposure to AI-native companies, model builders, or generative AI workflows.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

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