About The Position
WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Purpose-built for AI, NeuralMesh becomes faster, stronger, and more efficient as workloads scale, maximizing GPU utilization, accelerating time to first token, and lowering the cost of innovation. A growth-stage company, backed by world-class venture capital investors and AI infrastructure leaders, WEKA has earned over 140 patents and is trusted by more than 30% of global Fortune 50 enterprises, as well as leading hyperscalers, AI clouds and agentic AI innovators. We are customer-obsessed and work accountably, boldly, and collaboratively to support their success. If this sounds like the kind of team you're looking for, join us! About the Role WEKA’s marketing team runs fast and data-first. We need a dedicated data expert who can own our marketing data ecosystem end-to-end — from tracking setup, data integration, and reporting, to proactive insights that help drive pipeline and revenue growth. This isn’t just about dashboards — it’s about connecting the dots across marketing, sales, and finance to make sure we have a clear, accurate view of what’s working, what’s not, and where to invest.
Requirements
- Marketing data expertise: 3–5+ years working in marketing analytics, revenue analytics, or marketing data engineering.
- System fluency: Hands-on experience with Salesforce, HubSpot/Marketo, Google Analytics, attribution tools (e.g., Bizible, Dreamdata, or similar), and data visualization tools (e.g., Tableau, Looker, Power BI).
- Pipeline & revenue literacy: Understand the full funnel from lead to opportunity to closed-won and how marketing drives each stage.
- Data engineering chops: SQL proficiency, ETL/data pipeline experience, and comfort working with large datasets.
- Business mindset: Ability to translate data into clear, actionable recommendations.
- Attention to detail: Obsessive about accuracy and consistency; thrives in a fast-paced, high-growth environment.
Responsibilities
- Own marketing data systems: Manage and improve integrations between CRM, marketing automation, attribution tools, and data warehouses.
- Pipeline & revenue analytics: Track, analyze, and report on pipeline creation, acceleration, and conversion; connect marketing activities to revenue impact
- Data quality management: Ensure accuracy and consistency of lead, account, and opportunity data across systems.
- Reporting & dashboards: Build and maintain dashboards for marketing leadership, sales, and exec teams; automate recurring reports.
- Attribution modeling: Set up and refine attribution frameworks to measure the true impact of marketing programs.
- Forecasting & scenario modeling: Partner with marketing and sales ops to project pipeline and revenue outcomes based on campaign plans.
- Proactive insights: Identify trends, anomalies, and opportunities in the data — don’t just report numbers, explain what they mean and what actions to take.
- Cross-functional partnership: Work closely with RevOps, Sales Ops, Finance, and Marketing leadership to align on definitions, KPIs, and reporting cadences.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
Number of Employees
251-500 employees
