Head of Revenue Marketing

San Francisco, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, Software DevelopmentIndustries

Requirements

Candidates should possess 10+ years of experience in B2B demand generation within the software industry, 5+ years of progressive management experience with a team of 10+ Marketing and MOps professionals, and experience managing a $5M-$10M program budget to generate $50-$100M in new business pipeline. They should have experience marketing technical products to engineers and technology executives, supporting Enterprise and PLG GTM motions, and experience in a scale-up environment with $50M-$500M ARR. Fluency in Marketo and Salesforce is required, along with a Bachelor’s degree in computer science, marketing, business, or a related field; an MBA is a plus. Preference is given to candidates located in the San Francisco Bay Area or within the 48 contiguous U.S. states. Curiosity and a willingness to learn about AI development are also essential.

Responsibilities

As the Head of Revenue Marketing, the individual will be responsible for developing and implementing a multi-channel demand generation strategy to drive growth in qualified opportunities and pipeline within the Target Account List, supporting sales teams in North America, Europe, and Asia Pacific regions, leveraging data and analytics to optimize campaigns and allocate budget, partnering with Product Marketing and Sales to design and execute integrated ABM campaigns, partnering with Data Science to improve lead collection, and partnering with Revenue Operations to ensure data integrity and funnel definitions. The role will also involve experimenting with new channels and content, hiring and managing a team of Demand Generation, Marketing Ops, and Event & Field Marketers, and supporting SDRs for campaign execution and lead handoff to increase conversion from MQL to SQL.

Skills

Demand Generation

Event Marketing

Field Marketing

Digital Marketing

Marketing Operations

ABM Campaigns

Data Analysis

Campaign Optimization

Budget Allocation

Product Marketing

Sales Enablement

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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