Makersite
Jannis Diamantopoulos is an experienced professional in business development and partner management, currently serving as an Enterprise BDR at Makersite since March 2025. Prior roles include BDR at softgarden, Senior BDR for DACH at OneTrust, and EMEA Partner Manager at DocuSign, with a notable average attainment of 170%. Diamantopoulos has a background in consulting and project development, having worked with Unternehmensberatung Dr. Gabriel Dukaric and TOPSIM TATA Interactive Systems GmbH. Early experience includes positions in accounts payable at Hewlett Packard and various consulting roles. Educational qualifications include a Bachelor of Arts in International Business from Hochschule Heilbronn and an Erasmus study in International Management at Jagiellonian University. Additional training encompasses advanced Excel, Six Sigma, and leadership skills.
This person is not in any teams
This person is not in any offices
Makersite
Makersite is a cloud-based product data management tool that helps companies manage product sustainability, cost, and compliance. Product life cycle management involves making design decisions based on multiple criteria including cost, compliance, sustainability, and risk. Unfortunately, the data and expertise required to make these decisions aresiloed. This protracts the process of innovation and increases its complexity. Today, the market solves this problem with vertical applications like PDM, ERP, CAD, EHS, SCM, etc. These mostly remain siloed due to the enormous costs of integration and keeping data synchronized. Therefore, analyses typically require exporting data to aggregation tools e.g. BI or excel before being used for analyses in specialist decision support applications. Results are typically delayed, some taking as much as 9 months, and therefore provide little support during the design process. Makersite provides results instantly and simultaneously across key product criteria.Makersite combines external and internal data sources to create a digital twin of a product in design. Artificial intelligence and its graph-based data model allow for ingesting, representing, and connecting heterogeneous data easily. Its native applications use algorithms to support analysis and decision-making based on multiple criteria simultaneously including should-costs, regulatory compliance, life cycle impacts (LCA), supply chain risk, etc. The API-first architecture allows for easy integrations into existing IT infrastructures thereby supporting systems and processes with richer, fresher, and more timely product data.This allows engineers to understand and improve their designs from the perspective of their regulatory compliance, environmental impact, supply risk, and cost of production, simultaneously. Companies can get results up to 40x faster than traditional methods while making their products better.