Marketing Analytics Manager, CoreWeave
$121.7-163.4k
+ Discretionary Bonus + Equity
Specialized cloud provider
Be an early applicant
Specialized cloud provider
201-500 employees
Be an early applicant
$121.7-163.4k
+ Discretionary Bonus + Equity
201-500 employees
Company mission
CoreWeave's mission is to deliver a massive scale of GPU compute resources on top of the industry’s fastest and most flexible infrastructure.
Role
Who you are
- This is an exciting opportunity for a data-savvy professional who thrives in a fast-paced environment and is passionate about leveraging analytics to drive measurable marketing impact
- 5–8+ years of experience in marketing analytics, business intelligence, or a similar role, ideally in a B2B SaaS, cloud, or technology company
- Proven record building or scaling a marketing ops stack at a high‑growth company
- Demonstrated ability to design and launch entirely new analytics & reporting stacks—from tooling evaluation to migration and user enablement
- Expert‑level Python (pandas, airflow, API wrappers) + SQL; comfortable with dbt
- Skilled with visualization tools (Tableau first and foremost, plus Looker or Power BI) and marketing automation/CRM platforms (HubSpot/Marketo + Salesforce)
- Deep statistical chops—able to choose the right technique and explain it in plain English
- Confident storyteller who adapts the message for both technical and non‑technical audiences
- Bias for action; you ship an MVP in days, then iterate aggressively
What the job involves
- We’re looking for a Marketing Analytics Manager to lead data-driven insights and reporting for CoreWeave’s marketing team
- In this role, you will work closely with cross-functional teams—including digital marketing, product marketing, and sales—to track, analyze, and optimize marketing efforts across channels
- You will turn raw data into actionable insights that help shape marketing strategies, improve decision-making, and drive business outcomes
- Partner with the Data Warehouse team to shape data requirements and quality checks, then own dashboards, reporting, and downstream models that turn data into actionable insights
- Build and maintain dynamic dashboards in Tableau (our primary BI tool) and, where useful, complementary visualizations in Hex or Looker that surface channel‑level and holistic KPIs (ROI, CPL, CPA, funnel conversion rates)
- Guard data accuracy & integrity across HubSpot, SFDC, web, and offline sources
- Analyze campaign and channel performance to spot trends, anomalies, and untapped opportunities
- Partner with demand‑gen to re‑allocate spend and resources in‑flight, maximizing marginal ROI
- Deliver clear, data‑backed recommendations for creative, targeting, and channel mix improvements
- Apply regression, cohort, and uplift modeling to forecast lead velocity, pipeline, and revenue
- Build and iterate lead‑scoring & segmentation models that help sales focus on high‑value prospects
- Design and refine multi‑touch attribution frameworks that reveal the most influential touchpoints
- Stand up Account‑Based Marketing (ABM) analytics—dashboards that track target‑account engagement, coverage, and progression; partner with Sales Ops to iterate on account lists and measure pipeline impact
- Define marketing KPIs with leadership and track progress toward quarterly OKRs
- Translate analytical findings into crisp narratives for sales, product, finance, and exec stakeholders
- Advise senior leadership on investment bets (events, content, paid channels) backed by scenario modeling
- Own the front‑end analytics stack (Tableau dashboards and complementary BI layers) and collaborate with Data Warehouse engineers who maintain Snowflake/dbt pipelines to keep insights flowing
- Architect next‑gen reporting tech: Evaluate and pilot emerging BI, reverse‑ETL, and real‑time streaming tools; prototype new dashboards that push the team’s thinking about how (and how fast) insights are delivered
- Leverage Python & APIs (REST/GraphQL) to automate data pipelines, external enrichments, and custom integrations
- Train and upskill the entire Marketing org on Gen‑AI tools—run workshops on prompt engineering, model selection, and ethical use to drive broad adoption and self‑service insight generation
- Continuously trial the latest AI agents & copilots (GPT‑4o, Claude 3, agentic RAG workflows) to slash cycle times on data prep, insight generation, and creative experimentation
Our take
Many cloud service providers can suffer from slow prediction speeds when they are used for data modeling. CoreWeave solves this problem with its specialized cloud service provider.
CoreWeave reduces prediction times and makes service requests faster and more efficient. This, in turn, cuts cloud costs considerably. This has proven to be a strong draw for many companies, with CoreWeave signing a lucrative partnership with GPU heavyweight NVIDIA as well as partnering with BitOoda, which has allowed it to expand its operations to the financial market.
However, in 2023 it closed three very significant rounds of funding (Series B and debt and secondary extensions), which is being invested into expanding its US-based data centers, opening two new ones in the coming year. The question remains whether, despite 2023's big investments in the sector, CoreWeave can maintain this momentum and whether generative AI's stock will continue to rise.
Steph
Company Specialist at Welcome to the Jungle
Insights
194% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2024
$1.1bn
SERIES C
May 2023
$200m
SERIES B
Total funding: $1.7bn
Company benefits
- Medical, dental, and vision coverage
- Life and disability insurance
- Flexible Spending Account
- 401k with employer match
- Flexible PTO
- Catered lunch
- Kinside Childcare Concierge Service
- Gym reimbursement
Company HQ
Civic Center, New York, NY
Leadership
Michael Intrator
(CEO, not founder)Was Principal Portfolio Manager at Natsource Asset Managment for over 15 years. Served as CEO of The Atlantic Crypto Corporation and Hudson Ridge Asset Management.
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