Xenon Seven

Marketing Operations

• Enablement & Collateral Development: prepare sales presentations and decks, brief designers for visuals, develop white papers and industry reports, collaborate on blog and website content, ensure sales teams have up-to-date marketing materials and case studies
• Social Media & Content Distribution: publish and schedule LinkedIn posts, blogs and content assets, manage content repurposing, coordinate with designers and handle copywriting, maintain editorial calendar, engage on LinkedIn and monitor brand mentions
• Campaign Execution & Management: implement and manage digital marketing campaigns across LinkedIn and Google (Search, GDN & YouTube), coordinate paid media and budget tracking, track and optimize SEO/SEM strategies, monitor and adjust campaigns
• Reporting & Analytics: track key marketing KPIs and generate weekly/monthly reports, analyze marketing data to optimize campaigns, provide insights and recommendations
• Marketing Tech Stack, CRM & Lead Management: oversee marketing tools and automation (Zapier, HubSpot, Google Analytics, Search Console, scheduling platforms), integrate tools, research CRM tools, develop automated lead-nurturing workflows, organize contact lists, track conversion rates
• Outreach Support (Events, Podcasts & Email Marketing): research and outreach to podcasts and event organizers for CEO appearances, schedule/coordinate speaking engagements, assist pre/post event promotion, set up and manage email campaigns, optimize email sequences, track open rates and CTRs
• Business Development & Cross-Functional Coordination: conduct competitor and industry research, provide market positioning insights, identify new marketing opportunities, collaborate with sales/product/leadership, maintain project timelines, support ad hoc initiatives

Marketing Operations Manager

Data Engineer

• Collaborate with business stakeholders to gather and analyze requirements, ensuring alignment with project objectives.
• Architect and implement ML models for supply chain and inventory management use cases.
• Work with Python, Databricks, and Snowflake for data preparation, modeling, and pipeline development.
• Leverage AWS services to build, deploy, and scale ML solutions in production environments.
• Apply advanced algorithms including time series forecasting, regression, LSTM, neural networks, and classification models.
• Drive discussions, present solutions, and take full ownership of the end-to-end ML delivery process.
• Continuously monitor, evaluate, and optimize model performance.

Marketing Operations Manager

Senior Data Engineer