Teams at Semios

Design, build, and maintain scalable cloud-based data systems and production pipelines. Develop ingestion, transformation, modeling, monitoring, and governance processes across multi-cloud environments. Optimize data performance and cost, integrate APIs and AI-ready datasets, support analytics and data science teams, and document data structures and APIs. Collaborate with engineering and data science teams to create reliable datasets powering agriculture products and machine learning applications.

Leads revenue enablement and operations by aligning GTM teams, improving forecasting and pipeline management, building pricing and profitability frameworks, optimizing CRM workflows, creating performance dashboards, and delivering commercial training, playbooks, and collateral. Partners with sales, marketing, product, finance, and operations to strengthen revenue growth, renewals, operational efficiency, and data-driven decision-making.

Leads corporate development and market strategy for an agricultural technology company. Evaluates M&A targets, joint ventures, partnerships, and commercial relationships; builds financial valuation and market-sizing models; coordinates due diligence and integration planning; and translates agricultural, competitive, regulatory, and customer insights into growth, product, pricing, and go-to-market recommendations.