At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications.
Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota.
As a Senior Marketing Operations Manager reporting to the VP of Revenue Marketing, you’ll be instrumental in shaping our marketing technology stack, ensuring seamless integration across systems, and collaborating closely with cross-functional teams to drive pipeline efficiency and growth. This role is integral to expanding our marketing capabilities as we continue to scale.
Responsibilities:
- Lead and develop the architecture and strategy for Weights & Biases’ marketing technology, focusing on core systems that align with our go-to-market operations.
- Build and execute on a cohesive marketing technology roadmap, with a focus on tool evaluation, system integrations, automation processes, and lead processing.
- Manage marketing database operations and support data requests such as segmentation and list creation to enhance targeting and campaign performance.
- Create and manage KPIs, dashboards, and data visualizations to monitor business health, including database hygiene, website metrics, lead scoring, and campaign performance.
- Develop and implement solutions to optimize critical systems and workflows, ensuring smooth and efficient marketing operations.
- Support lead generation efforts by leveraging tools like Marketo, HubSpot, and Salesforce to capture and nurture demand.
- Collaborate with Sales, Revenue Operations, Data In Science, and Partner teams to understand and address challenges affecting the marketing-sales pipeline.
- Partner with Events and Demand Generation teams to streamline lead management from events and facilitate landing page creation and related operational tasks.
Requirements:
- 9+ years of experience in B2B marketing operations, ideally within a high-growth SaaS environment.
- Proven expertise in marketing technology platforms, particularly Marketo, HubSpot, and Salesforce, with experience in a demand generation context.
- Hands-on experience with GDPR, CCPA, or other privacy regulations and a solid understanding of data governance best practices.
- Strong analytical skills with the ability to translate data into actionable insights and optimize marketing processes.
- Experience navigating and contributing to high-growth, rapidly changing environments, ideally having witnessed transitions across funding rounds or other expansion phases.
- Effective communicator and collaborator, able to work across functions to align marketing objectives with sales and product goals.
- Experience working cross-functionally with stakeholders at all levels.
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
We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at [email protected].
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What We Do
Weights & Biases helps machine learning teams build better models faster. With a few lines of code, practitioners can instantly debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions — and collaborate with their teammates.
