Adomik

• Build and maintain backend services and APIs in Python as part of our MCP project. • Collaborate closely with the Product team to understand requirements, propose solutions, and iterate on feedback. • Optimize existing application code to improve performance and maintainability. • Share best development practices and contribute to technical documentation.

• Ensure data availability and quality for customers by evolving connectors and supporting product changes. • Advance internal ingestion capabilities to maximize customer satisfaction and platform reliability. • Coordinate Support, CSM, Engineering, and QA (and occasionally clients) to secure delivery. • Own relationships with Data Sources (API/reporting providers). • Industrialize connector creation and maintenance (processes, standards, monitoring). • Expand automation and AI usage to reduce manual work and accelerate operations. • Own the roadmap and evolution of connectors and ingestion capabilities to sustain platform reliability and unlock product value. • Deliver data that is available, fresh, and reliable at scale, with clear standards and predictable timelines. • Strengthen operations and incident management with effective, reassuring stakeholder communication. • Increase operational leverage through automation and AI, prioritizing repeatability, throughput, and robustness. • Build constructive relationships with data providers to anticipate changes and minimize disruption. • Align cross-functional teams (Support, CSM, Engineering, QA) on priorities, quality standards, and execution. • Execution principles: Reliability first: data availability and quality at scale. • Leverage and speed: automate repeatable work to increase throughput. • Customer trust: transparent communication and predictable delivery. • Anticipation: proactive management of changes on Data Sources.

• Deliver end-to-end features, from API design (Ruby on Rails) to user interface implementation (React), ensuring a seamless user experience. • Collaborate closely with the Product team to understand requirements, propose solutions, and iterate on feedback. • Optimize existing application code to improve performance and maintainability. • Take the initiative to improve our architecture, design, and development workflows.

• Ensure data availability and quality for customers by evolving connectors and supporting product changes. • Advance internal ingestion capabilities to maximize customer satisfaction and platform reliability. • Coordinate Support, Customer Success (CSM), Engineering, and QA (and occasionally clients) to secure delivery. • Own relationships with data sources (API/reporting providers). • Industrialize connector creation and maintenance (processes, standards, monitoring). • Expand automation and AI usage to reduce manual work and accelerate operations. • Own the roadmap and evolution of connectors and ingestion capabilities to sustain platform reliability and unlock product value. • Deliver data that is available, fresh, and reliable at scale, with clear standards and predictable timelines. • Strengthen operations and incident management with effective, reassuring stakeholder communication. • Increase operational leverage through automation and AI, prioritizing repeatability, throughput, and robustness. • Build constructive relationships with data providers to anticipate changes and minimize disruption. • Align cross-functional teams (Support, CSM, Engineering, QA) on priorities, quality standards, and execution. • Execution principles: Reliability first — data availability and quality at scale. • Leverage and speed: automate repeatable work to increase throughput. • Customer trust: transparent communication and predictable delivery. • Anticipation: proactive management of changes on data sources.