Senior Product Manager (SDK + Metrics & Storage) at Weight & Biases

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine Learning, TechnologyIndustries

Requirements

5+ years of product management experience, ideally with a background in developer tools, SDKs, or technical infrastructure
Speak fluently with engineers about APIs, storage tradeoffs, performance bottlenecks, and distributed systems
Understand the needs of ML engineers and researchers—or are excited to learn quickly
Passionate about building intuitive tools for highly technical users
Take a structured approach to problem solving, but comfortable navigating ambiguity and moving quickly
Passionate about user research, integrating customer feedback, have deep curiosity and obsess about the end-to-end developer experience
Value clarity, empathy, communication, and quality
Bonus
Experience working on Python libraries, open source tooling, or metrics systems
Worked on scaling or optimizing storage and ingestion pipelines at high throughput
Familiarity with MySQL, Kubernetes, Terraform, and major cloud providers (e.g., GCP, AWS, Azure)
Dabbled in ML workflows and understand the unique needs of experimentation-heavy teams. Experience using W&B is a plus

Responsibilities

Own and evolve the product strategy for the W&B SDK, ensuring it's intuitive, extensible, and loved by developers
Partner closely with engineering to design and prioritize improvements to metrics ingestion, storage, and retrieval systems
Define and track success metrics for SDK adoption, reliability, and performance
Work with developer advocates, GTM, and support teams to identify pain points, synthesize user feedback, and turn insights into product improvements
Collaborate with security and infrastructure teams to ensure systems scale across enterprise, SaaS, and airgapped deployments
Set the product direction for the team, guiding the organization to balance short-term deliverables with strategic, long-term improvements

Skills

Key technologies and capabilities for this role

Product ManagementProduct StrategySDKMLOpsExperiment TrackingMetrics IngestionStorage SystemsRetrieval SystemsML FrameworksAI Developer Tools

Questions & Answers

Common questions about this position

What is the salary for this Senior Product Manager role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What experience and skills are required for this role?

Candidates need 5+ years of product management experience, ideally in developer tools, SDKs, or technical infrastructure, with the ability to speak fluently with engineers about APIs, storage tradeoffs, performance bottlenecks, and distributed systems. They should understand ML engineers' needs or be excited to learn quickly, be passionate about intuitive tools for technical users, and take a structured approach to problem-solving while navigating ambiguity.

What is the company culture like at Weights & Biases?

This information is not specified in the job description.

What makes a strong candidate for this Senior Product Manager position?

A strong candidate has 5+ years of product management experience in developer tools, SDKs, or technical infrastructure, can discuss engineering topics like APIs and distributed systems fluently, understands ML practitioners' needs, and balances structured problem-solving with comfort in ambiguity.

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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