What are the responsibilities and job description for the Marketing Manager position at Harell Data?
About Harell Data - Cloud Infrastructure for Scientific Discovery
Harell Data is building the intelligent infrastructure for the next era of scientific discovery. While AI has revolutionized digital industries, progress in the physical sciences-from drug discovery to material science-is currently bottlenecked because the most valuable training data remains isolated, unorganized, and difficult to access.
We are solving this by providing an end-to-end ecosystem that enables the secure sharing of proprietary datasets alongside the high-performance compute and orchestration layer required to train large-scale models. By bringing compute to the data within a single, integrated environment, we are creating the foundational stack that transforms raw scientific data into the next generation of domain-specific foundation models.
We’re looking for a experienced Marketing Manager to own our demand generation and lifecycle marketing programs. You’ll sit at the intersection of product, sales, and customer success — translating cloud infrastructure capabilities into compelling marketing materials and campaigns that drive pipeline and revenue. You’ll be the go-to owner of our Salesforce Marketing Cloud instance, ensuring every lead, nurture track, and campaign is instrumented, optimized. We are launching in one highly specialized vertical; so target companies have been identified and started on the process of contact identification. (Low volume, high touch) This is a ground zero hire and the opportunity to define and grow the marketing department of a new business segment in the AI space.
What you'll do
Marketing Cloud Ownership
- Implement and optimize Sales Marketing Cloud — manage lead routing rules, campaign attribution, account hierarchies, and pipeline reporting
- Build and manage automated nurture journeys, drip sequences, and behavioral triggers in Salesforce Marketing Cloud (including Email Studio, Journey Builder, and Automation Studio)
- Maintain data hygiene across contact and account records; enforce segmentation and list management best practices
- Create dashboards and reports surfacing campaign performance, funnel metrics, and revenue attribution for leadership
Cross-Functional Partnership
- Work closely with Sales to align on conference planning, outbound sequences, personas, and follow-up messaging
- Partner with Product to coordinate go-to-market launches for new compute offerings and integrations
- Coordinate with RevOps to ensure lead flow, attribution models, and Salesforce workflows are accurate and scalable
Content & Messaging
- Collaborate with product and engineering to translate technical differentiation (GPU specs, interconnect performance) into buyer-facing narratives
- Develop case studies, solution briefs, and email copy tailored to technical and audiences
- Marketing campaigns to include, product demo’s, and conference sponsorships with collateral and follow-up sequences
Campaign & Demand Generation
- Plan and execute multi-channel campaigns (email, paid, events, content syndication) targeting ML engineers, AI researchers, and enterprise procurement teams
- Develop messaging and positioning for platform features, pricing tiers, and partner integrations
- Own top-of-funnel lead generation goals and MQL-to-SQL conversion targets
Qualifications
Required
- 4 years of B2B marketing experience, with at least 2 years in a demand generation or marketing operations role
- 3 years of experience marketing with infrastructure, cloud, or developer-focused products (AI/ML, HPC, cloud compute, data platforms)
- Hands-on proficiency creating with Salesforce Marketing Cloud — Journey Builder, Email Studio, Automation Studio, audience segmentation and reporting.
- Familiarity with the AI/ML ecosystem — understanding of model training workflows, GPU clusters, or MLOps tooling is a strong plus
- Excellent written communication skills with experience writing for technical audiences.
- Comfortably working in a fast-paced, early-stage environment with significant autonomy
Preferred
- Experience in the biotech or life sciences research industry (not healthcare or medical devices)
What Success Looks Like
- Marketing Cloud is fully instrumented with clean data, reliable attribution, and automated lifecycle programs running end-to-end
- Core campaign templates, nurture tracks, and audience segments are built out and documented
- Dependent on how quickly we scale the your department will develop to have direct reports as needed.
- Extending into a new vertical by year end and building out the marketing team to accommodate the new targets and growth.