Neurons Lab

Data Engineer

• Design end-to-end data architectures combining GCP data services (BigQuery, Dataflow, Data Catalog, Dataplex) with on-premise systems (ex. Oracle)
• Establish data governance frameworks with cataloging, lineage, and quality controls
• Build production data pipelines based on approved architectures
• Implement data warehouses: schema creation, partitioning, clustering, optimization, security setup
• Deploy data governance frameworks: Data Catalog configuration, metadata tagging, lineage tracking, quality monitoring

GCP Data Architect

People Operations

• Streamline and execute all people operations in a 50-person AI-first organization
• Manage end-to-end recruitment for 15-30 hires annually
• Optimize recruitment tech stack and maintain a compliant People Ops process
• Execute onboarding programs and manage performance reviews
• Implement AI tools for HR workflows

Head of People

Solutions Engineer

• Deliver end-to-end AI cloud solutions by combining architectural excellence with hands-on engineering capabilities
• Gather requirements, design cloud architectures, calculate ROI, and create technical proposals for AI/ML solutions
• Build production-grade infrastructure using IaC, develop APIs and prototypes, implement CI/CD pipelines, and manage AI workload operations
• Transform business requirements into working solutions that are secure, scalable, cost-effective, and aligned with AWS best practices
• Create reusable artifacts, comprehensive documentation, and architectural patterns that accelerate future project delivery
• Document architecture and implementation details weekly for knowledge sharing
• Ensure all solutions pass AWS Well-Architected Review standards
• Create simplified UIs/demos for PoC validation and client presentations
• Implement cloud security best practices: IAM, VPC design, encryption, secrets management
• Conduct security reviews and implement remediation strategies

AI Cloud Solution Architect, Engineer

Marketing

• Own end-to-end ABM strategy, from platform setup to campaign execution
• Lead the setup and optimization of a new AI-driven ABM platform
• Design and execute end-to-end ABM strategies aligned with company goals
• Launch personalized, multi-channel campaigns to target enterprise accounts
• Craft account-specific messaging and value propositions for multiple stakeholders
• Partner closely with Marketing and Sales teams to drive pipeline growth
• Segment and prioritize accounts based on ICP and data insights
• Measure and report on campaign engagement, pipeline impact, and ROI
• Continuously optimize campaigns with A/B testing, personalization, and data insights
• Collaborate with content and design teams to produce tailored assets (case studies, playbooks)
• Stay current on ABM technology, AI-driven personalization, and industry trends
• Objectives: drive engagement with FSI executives, accelerate Lead→MQL conversions, and generate measurable pipeline impact
• KPIs: launch ~8 multi-channel ABM campaigns per quarter; achieve +30% engagement uplift; influence 5 opportunities per quarter with pipeline attribution

GCP Data Architect

Head of People

AI Cloud Solution Architect, Engineer

Account-Based Marketing Specialist