Staff Product Manager - Models - US (Remote) at Weight & Biases

San Francisco, California, United States

Weight & Biases Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Machine LearningIndustries

Requirements

Candidates must have at least two years of experience utilizing Weights & Biases, demonstrating a deep understanding of the product. They should possess experience taking technical products to production, defining success metrics, and iterating for performance improvements. Furthermore, candidates are expected to have experience managing or influencing machine learning engineers, software engineers, or other stakeholders, along with strong communication and organizational skills, and a genuine interest in the products being used.

Responsibilities

This Staff Product Manager will rapidly identify and ship improvements to W&B’s core experience, engage with advanced customers to understand their workflows, research and define the future of experiment tracking, pretraining, and fine-tuning workflows to guide product strategy, analyze interviews, usage data, and market behavior to prioritize product opportunities, and communicate product updates to the market to drive adoption and discovery.

Skills

Weights & Biases
Experiment Tracking
Production ML
Stakeholder Management
Data Analysis
Customer Engagement
Pretraining
Fine-tuning
ML Workflows

Weight & Biases

AI platform for model development and management

About Weight & Biases

Weights & Biases provides a platform designed to help AI developers create more efficient machine learning models quickly. The platform includes tools for tracking experiments, managing workflows, evaluating model performance, and reproducing models, as well as features for version control and dataset iteration. This allows AI teams to conduct more experiments and improve their productivity. Weights & Biases operates on a software-as-a-service model, where clients pay a subscription fee to access its features, ensuring a steady revenue stream. The company stands out in the growing AI and machine learning market by offering a comprehensive solution that simplifies the development process for AI developers and machine learning teams.

San Francisco, CaliforniaHeadquarters
2017Year Founded
$243.2MTotal Funding
LATE_VCCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees

Benefits

🏝️ Unlimited vacation time
🩺 100% Medical, Dental, and Vision for employees and Family Coverage
🏠 Remote first culture with in-office flexibility in San Francisco
💵 $1000 home office budget with new high-powered laptop
🥇 Truly competitive salary and equity
🚼 12 weeks of Parental leave
📈 401(k)

Risks

Increased competition from NVIDIA's AI orchestration tools challenges W&B's market position.
Anthropic's Claude AI model's success may divert potential customers from W&B.
Cohere's fine-tuning services could attract enterprises, impacting W&B's customer base.

Differentiation

W&B offers comprehensive AI model tracking and visualization tools for developers.
The platform supports seamless integration with NVIDIA technologies for enhanced AI deployment.
W&B's SaaS model ensures recurring revenue through long-term client subscriptions.

Upsides

Growing demand for AI model tracking tools boosts W&B's market potential.
Recognition as Google Cloud Technology Partner of the Year enhances W&B's credibility.
Participation in NAIRR pilot program promotes W&B's role in responsible AI innovation.

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