ArangoDB

AI Engineer

• Design and own Python-based features for ArangoDB’s Unified Platform
• Evaluate the latest developments and innovations in the GenAI and Python fields and apply them effectively
• Build solutions for GenAI use cases such as data pipelines, retrieval-augmented generation (RAG), and advanced analytics
• Develop and refine agentic workflows: build, orchestrate, and optimize autonomous agents for complex tasks within distributed environments
• Integrate and manage private and cloud-hosted LLMs with a focus on secure, scalable deployment
• Build and scale ArangoDB solutions within Kubernetes environments, ensuring robust operation and performance for AI workloads
• Other duties as assigned from time to time

Generative AI Engineer

Performance Marketing

• Develop and own the integrated demand generation strategy across acquisition, lifecycle, and retention, including ABM, digital, events, and outbound orchestration
• Convert intent signals (6sense, G2, and first-party data) into meetings and opportunities; partner with SDRs to operationalize follow-up
• Orchestrate regional events, executive dinners, and partner activations
• Own website performance and continuously improve traffic, engagement, and lead flow through CRO
• Design and operationalize tiered ABM programs (1:1, 1:few, 1:many)
• Build full-funnel programs blending digital, content, events, and outbound
• Deploy nurture, expansion, and retention programs aligned to buyer and customer journeys
• Own attribution, forecasting, reporting, and budget reallocation
• Test new channels, tools, and plays to scale in the GenAI market
• Report to the CMO and align closely with Sales, SDR, Product Marketing, and RevOps

Generative AI Engineer

Director of Demand Generation