Marvik

Data Engineer

• Partner with the CTO and leadership to set the Intelligence strategy and roadmap; own the execution.
• Build, hire, and develop the Intelligence team — set the bar for craft, shape the operating cadence, and build the collaboration patterns with product, platform, and engineering.
• Stand up the canonical data substrate: schema discipline, tenancy isolation, data contracts, lineage, and governance that AI/ML workloads run cleanly against.
• Stand up the ML and AI platform: model lifecycle, feature store, vector store, training and serving infrastructure, and MLOps practice.
• Lead the learning and reasoning capabilities of the platform: RAG architectures, agentic data systems, knowledge graphs, and the patterns that let Stratus's data compound into platform intelligence.
• Develop and drive evaluation frameworks measuring model quality, agent reliability, drift, and platform effectiveness — make AI workloads observable to engineering, product, and customer success.
• Drive the build-vs-buy posture for the AI/ML stack; set production readiness standards for AI workloads in close collaboration with the platform team.
• Partner with product on the AI use case portfolio; engage directly with customers when needed to ground Intelligence decisions in real workflow problems.

Lead Data Engineer

Marketing

• Design and execute campaigns that support pipeline growth through outbound sequences, LinkedIn, content marketing, and paid acquisition channels.
• Own Marvik’s voice across LinkedIn, website, blog, and sales materials.
• Manage and continuously update marvik.ai with new content, landing pages, success stories, and optimizations.
• Support the commercial team with sales decks, one-pagers, and pitch materials.
• Coordinate and produce video testimonials and case study content, including scripting, logistics, and publishing.
• Manage and optimize Marvik’s digital presence, including visibility across traditional search engines and AI-powered platforms.
• Plan and execute executive dinners, meetups, and industry events from end to end.
• Brief, manage, and oversee external agencies and vendors across PR, design, and brand initiatives.
• Track performance across channels and transform data into actionable insights.

Lead Data Engineer

Marketing Manager