Marketing Operations & AI Lead
Indexed description
If you demonstrate full ownership of assigned projects, can act as a technological mentor for the team, and deeply understand the architecture of long-cycle B2B sales – Apply!
Job Profile
- Marketing Operations Experience: 5+ years in marketing operations, marketing technology, or growth operations in B2B (software, technology, or financial services), including end-to-end ownership of a marketing automation architecture.
- Demand-Side Literacy (B2B Funnel Architecture): A working understanding of B2B buying pipelines in long-cycle, considered-purchase sales. You can design the funnel model (lifecycle stages, lead qualification definitions agreed with Sales) and then code scoring, logic, and attribution into software.
- HubSpot & MarTech Expertise: Deep, hands-on HubSpot expertise (core CRM). Architecture design, lead scoring models, attribution setup, and reporting. Familiarity with ABM tooling (e.g., 6sense), BI tools, Google, and LinkedIn environments.
- AI Implementation in Production: Proven implementation of AI in marketing workflows beyond personal productivity: LLM-based content generation pipelines, retrieval-grounded workflows built on a knowledge base (RAG), prompt libraries, and AI output quality evaluation.
- Data Fluency & Tool Governance: Advanced spreadsheets, dashboarding (platform-native or BI tools), and comfort with campaign data models. Experience running security/legal reviews of marketing and AI tools, access management, and data-hygiene standards suited to a regulated industry.
- Functional Leadership: Maturity to set and enforce standards across a team without line authority. Able to act as a mentor and develop the operations skills of the marketing team (autonomous role, no direct reports initially).
- Language Proficiency: English C1+ is mandatory (working language). Polish is a plus (the team operates in both) but not required.
- Degree in marketing, business, computer science, data, or a related field.
- HubSpot certifications, experience with automation platforms (Make, Zapier, n8n).
- Basic knowledge of SQL, Python, or scripting – you don't need to code, but understanding the technical basics is highly valued.
- Own the Marketing Engine End-to-End: Design the funnel model for a long-cycle enterprise B2B motion (lifecycle stages, MQL/SQL definitions agreed with Sales, conversion measurement), then build it: HubSpot architecture, lead scoring, attribution, and the management reporting layer.
- Migration & Integration (First 6 months priority): Unify and migrate entirely from the current CRM to HubSpot. Implement automation between HubSpot, BI tools, Google, and LinkedIn.
- AI-Assisted Workflows: Design and roll out AI-assisted marketing workflows across the team (content drafting, research, campaign operations). Build and industrialize the product knowledge base (RAG) that grounds all AI-assisted content work.
- Campaign Measurement: Wire measurement into every campaign and event: from registration and lead capture to pipeline attribution and post-campaign learning loops.
- Governance & Compliance: Own AI and marketing tool governance: evaluation, security reviews, access management, and enforcing the standard that no campaign launches outside the official engine.
- Partnership & Mentoring: Act as a functional chapter lead for marketing operations. Partner tightly with Sales and the Head of Marketing on the operating model, SLA tracking, and monthly management reports.
- Private medical care with Allianz – access to specialists and diagnostic tests for you and your loved ones.
- Cafeteria system – you can choose full funding for a Multisport card or allocate funds to culture, leisure, sports, and shopping.
- Hybrid work model (after the onboarding period: 2 days remote, 3 days in the office).
- Access to advanced AI tools and Google Workspace.
- Collaboration with diverse competency teams, allowing you to learn new technologies and expand your IT knowledge.
- Professional growth and a real impact on business decisions.
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