Sowelo Consulting sp. z o.o. sp. k.

Customer Success Manager

• Design, execute, and scale client success programs that elevate customer satisfaction, deepen feature adoption, and promote product self-sufficiency
• Drive customer retention, proactively reduce churn, resolve high-risk scenarios, and partner with Sales on expansion and upsell opportunities
• Partner with Sales, Delivery, Tech & Product, and Support teams to streamline the end-to-end customer journey and eliminate operational friction
• Establish and lead structured, high-touch communication cadences with assigned accounts
• Host webinars, best-practice sessions, feature demos, and release training
• Establish, track, and iterate on key success metrics using data insights
• Identify customer risks or bottlenecks and mobilize internal resources to safeguard account health
• Serve as the voice of the customer by analyzing quantitative and qualitative feedback to help Product and Support enhance the customer experience

Junior Customer Success Manager

• Design, execute, and scale client success programs that elevate customer satisfaction, deepen feature adoption, and promote product self-sufficiency
• Drive customer retention, proactively reduce churn, resolve high-risk scenarios, and partner with Sales on expansion and upsell opportunities
• Partner with Sales, Delivery, Tech & Product, and Support teams to streamline the end-to-end customer journey and eliminate operational friction
• Establish and lead structured, high-touch communication cadences with assigned accounts
• Host webinars, strategic best-practice sessions, feature demos, and release training
• Establish, track, and iterate on key success metrics using data insights
• Identify customer risks or bottlenecks and mobilize internal resources to safeguard account health
• Serve as the voice of the customer by analyzing quantitative and qualitative feedback to help Product and Support teams enhance the customer experience

• Design, execute, and scale client success programs to elevate customer satisfaction, deepen feature adoption, and promote product self-sufficiency
• Drive customer retention, proactively reduce churn, resolve high-risk scenarios, and partner with Sales on expansion and upsell opportunities
• Partner with Sales, Delivery, Tech & Product, and Support teams to streamline the end-to-end customer journey and eliminate operational friction
• Establish and lead structured, high-touch communication cadences with assigned accounts
• Host webinars, best-practice sessions, feature demos, and release training
• Establish, track, and iterate on key success metrics using data insights
• Identify customer risks or bottlenecks and mobilize internal resources to resolve concerns and safeguard account health
• Analyze quantitative and qualitative customer feedback to help Product and Support teams enhance the customer experience

Project Manager

• Manage end-to-end service delivery of complex, high-visibility projects from close of sale through final handoff
• Lead supply chain solution rollouts across the customer network
• Manage ERP integrations and agile e-invoicing implementations
• Manage day-to-day project tasks for product and service solution implementations
• Create and maintain project work schedules
• Track customer requirements and translate requests into key deliverables
• Manage multiple concurrent projects
• Monitor workflow requirements to ensure timelines and quality expectations are met
• Direct clear communication between internal teams and external customers
• Prioritize project needs and manage available resources
• Identify and communicate opportunities for continuous improvement
• Coordinate across multifunctional teams without direct authority

Implementation Specialist

• Perform post-sale initial technical implementation of technology products
• Execute installation, upgrades, testing, and system configuration for implementation projects
• Consult with clients to analyze and verify operational needs and understand business objectives
• Track implementation project progress, deadlines, and scheduling issues
• Keep customers and stakeholders informed of project progress
• Apply, test, and reconfigure data rules to produce required results
• Facilitate research, isolation, diagnosis, resolution, and follow-up for customer change events
• Contribute to standardized customer solutions
• Escalate events outside the role's scope
• Own support instances requiring partner involvement and act as escalation point between clients and partner network
• Work directly with third parties, consultants, VARs, and adapter or application providers
• Handle complex, high-importance work
• Maintain deep industry-specific business knowledge and stay current with emerging products and technical updates

Senior Implementation Consultant

Machine Learning Engineer

• Design and build core machine learning systems for a proactive AI platform
• Own projects end-to-end, including data curation, model training, evaluation, inference, and continuous iteration
• Translate research concepts into robust, reliable production systems
• Use live production signals and data to troubleshoot model anomalies and system bottlenecks
• Deploy systems, analyze real-world performance metrics, refine approaches, and iterate rapidly
• Collaborate with research, engineering, and product teams
• Mentor fellow engineers and conduct rigorous technical reviews
• Optimize model architectures for latency, computational cost, reliability, and safety at scale

Senior Machine Learning Engineer

• Design and build core machine learning systems for a proactive AI platform
• Own projects end-to-end, including data curation, model training, evaluation, inference, and continuous iteration
• Translate cutting-edge research concepts into robust, reliable production systems
• Use live production signals and data to troubleshoot model anomalies and system bottlenecks
• Deploy systems, analyze real-world performance metrics, refine approaches, and iterate rapidly
• Partner with research, engineering, and product teams to deliver user value
• Mentor fellow engineers and conduct rigorous reviews
• Set a high standard for technical judgment through hands-on execution
• Optimize model architectures for latency, computational cost, reliability, and safety at scale

• Design and build core machine learning systems for a proactive, forward-looking AI platform
• Own projects end-to-end, including data curation, model training, evaluation, inference, and continuous iteration
• Translate research concepts into robust, reliable production systems
• Use live production signals and data to troubleshoot model anomalies and system bottlenecks
• Deploy systems, analyze real-world performance metrics, refine approaches, and iterate rapidly
• Collaborate with research, engineering, and product teams to connect technical milestones with user value
• Mentor fellow engineers and conduct rigorous technical reviews
• Optimize model architectures for latency, computational cost, reliability, and safety at scale

• Design and build core machine learning systems for a proactive AI platform
• Own projects end-to-end, from data curation and model training through evaluation, inference, and continuous iteration
• Translate research concepts into robust, reliable production systems
• Use live production signals and data to troubleshoot model anomalies and system bottlenecks
• Deploy systems, analyze real-world performance metrics, refine approaches, and iterate rapidly
• Collaborate with research, engineering, and product teams to translate technical milestones into user value
• Mentor fellow engineers and conduct rigorous code and technical reviews
• Optimize model architectures for latency, computational cost, reliability, and safety at scale

• Design and build core machine learning systems for a proactive AI platform
• Own projects end-to-end, including data curation, model training, evaluation, inference, and continuous iteration
• Translate research concepts into robust, reliable production systems
• Use live production signals and data to troubleshoot model anomalies and system bottlenecks
• Deploy systems, analyze real-world performance metrics, refine approaches, and iterate rapidly
• Collaborate with research, engineering, and product teams to connect technical milestones with user value
• Mentor fellow engineers and conduct rigorous code and technical reviews
• Optimize model architectures for latency, computational cost, reliability, and safety at scale

• Design and build core machine learning systems for a proactive, forward-looking AI platform
• Own projects end-to-end, including data curation, model training, evaluation, inference, and continuous iteration
• Translate cutting-edge research concepts into robust, reliable production systems
• Use live production signals and data to troubleshoot model anomalies and system bottlenecks
• Deploy systems, analyze real-world performance metrics, refine approaches, and iterate rapidly
• Collaborate with research, engineering, and product teams to connect technical milestones with user value
• Mentor fellow engineers and conduct rigorous code and technical reviews
• Set high standards for technical judgment through hands-on execution
• Optimize model architectures across latency, computational cost, reliability, and safety at scale

• Design and build core machine learning systems for a proactive, forward-looking AI platform
• Own projects end-to-end, from data curation and model training through evaluation, inference, and continuous iteration
• Translate research concepts into robust, reliable production systems
• Use live production signals and data to troubleshoot model anomalies and system bottlenecks
• Deploy systems, analyze real-world performance metrics, refine approaches, and iterate rapidly
• Partner with research, engineering, and product teams to translate technical milestones into user value
• Mentor fellow engineers and conduct rigorous code and technical reviews
• Optimize model architectures for latency, computational cost, reliability, and safety at scale

• Design and build core machine learning systems for a proactive, forward-looking AI platform
• Own projects end-to-end, including data curation, model training, evaluation, inference, and continuous iteration
• Translate research concepts into robust, reliable production systems
• Use live production signals and data to troubleshoot model anomalies and system bottlenecks
• Deploy systems, analyze real-world performance metrics, refine approaches, and iterate rapidly
• Collaborate with research, engineering, and product teams to convert technical milestones into user value
• Mentor fellow engineers and conduct rigorous technical reviews
• Optimize model architectures for latency, computational cost, reliability, and safety at scale

• Design and build core machine learning systems for a proactive AI platform
• Own projects end-to-end, from data curation and model training through evaluation, inference, and continuous iteration
• Translate research concepts into robust, reliable production systems
• Use live production signals and data to troubleshoot model anomalies and system bottlenecks
• Deploy systems, analyze real-world performance metrics, refine approaches, and iterate rapidly
• Collaborate with research, engineering, and product teams
• Mentor fellow engineers and conduct rigorous reviews
• Set high standards for technical judgment through hands-on execution
• Optimize model architectures for latency, computational cost, reliability, and safety at scale