MUTT DATA

Director

• Own and drive strategic growth initiatives in the U.S. market, focusing on enterprise accounts and high-impact partnerships.
• Identify, develop, and close complex enterprise opportunities aligned with long-term company strategy.
• Build and nurture executive-level relationships (C-level, VP, Heads of Data/Engineering) across target partner champions.
• Act as a strategic advisor to clients exploring or scaling modern data platforms in the Databricks ecosystem.
• Lead co-selling motions and strategic collaboration with key technology partners.
• Design and execute account plans to land and expand high-value enterprise clients.
• Partner cross-functionally with Sales, Engineering, and Delivery teams to ensure successful deal execution and long-term value realization.
• Generate and influence pipeline through ecosystem relationships, advisors, and executive network.
• Contribute to defining and refining the company’s Partner go-to-market motion.
• Keep CRM fully updated with strategic account actions, pipeline status, and partnership opportunities.
• Represent market feedback internally to shape positioning, offerings, and strategic direction.

Strategic Alliance Director

Account Manager

• Serve as customers’ primary point of contact, ensuring their engagement, retention, and satisfaction with our platform.
• Supervise and lead strategic campaigns autonomously, being responsible for the planning and revision of campaigns leveraging our proprietary platform.
• Structure insightful analyses to improve and understand campaigns’ performance.
• Provide reports and identify challenges, opportunities, and recommendations for our customers.
• Work closely with the product team to communicate client feedback, pain points, and feature requests.
• Assist in troubleshooting and resolving tracking, attribution, or integration issues in collaboration with data science and engineering teams.
• Guide and support team members in campaign analysis, reporting, and client communication.
• Coordinate the day-to-day work of a small team (1–2 people), helping prioritize tasks and ensuring alignment with client objectives.
• Expertly troubleshoot and resolve escalated customer issues.
• Stay up to date with our latest features and industry trends to continuously add value to clients.

Lead Product Account Manager

Customer Success Manager

• Own and manage relationships with existing clients in the U.S. market.
• Act as the main point of contact for strategic accounts, ensuring a strong and consistent client experience.
• Deeply understand client needs, business goals, and challenges to maximize value delivery.
• Lead renewals, contract management, and commercial follow-ups with existing clients.
• Identify opportunities for account growth (upsell / cross-sell). Monitor client health metrics (engagement, satisfaction, retention) and proactively address risks.
• Keep CRM fully updated with account status, interactions, renewals, and expansion opportunities.
• Collect and share client feedback to help improve services, processes, and positioning.
• Represent the voice of the client internally and contribute to strengthening long-term partnerships.

Client Engagement Manager

Data Engineer

• Participate in defining the reference data architecture, including ingestion, transformation, storage, and consumption patterns on AWS.
• Collaborate in establishing standards for data modeling, naming conventions, lineage, data quality, and technical documentation.
• Design and implement dbt models and Airflow pipelines supporting analytical workloads on Redshift.
• Design and implement data testing and quality strategies using dbt tests and tools such as Elementary Data.
• Actively participate in architecture discussions, design reviews, and technical decision-making across the data ecosystem.
• Collaborate with engineering teams to ensure consistent adoption of architecture standards and best practices.
• Work closely with business and technology stakeholders to align technical decisions in complex organizational environments.

Cloud Data Architect

Software Engineer

• Lead the design and implementation of scalable React Native applications (iOS + Android).
• Contribute to architectural decisions, including adoption of the React Native New Architecture (JSI, Fabric, TurboModules).
• Build and maintain native module integrations (Swift, Kotlin, Objective-C)
• Implement robust state management and server-state strategies.
• Ensure high performance and optimized rendering across devices.
• Own release processes for App Store and Google Play.
• Implement and maintain CI/CD pipelines and OTA updates.
• Drive testing strategy (unit, integration, e2e).
• Conduct structured and actionable code reviews.
• Communicate technical trade-offs clearly to cross-functional stakeholders.
• Lead or contribute to major refactors and architectural migrations.

Senior React Native Engineer

AI Engineer

• Take full ownership of new connector requests, driving them from initial requirement to production enablement.
• Lead and push homologation processes with Security and other internal stakeholders until approval is achieved.
• Identify and resolve technical and administrative bottlenecks that slow down adoption.
• Coordinate with business and technology teams to ensure use cases progress effectively.
• Ensure connectors are not only approved but fully operational and usable in real scenarios.
• Provide technical clarity around integrations and connector architecture.
• Actively drive adoption of low-code solutions across teams.
• Lay the groundwork for future advanced automation initiatives.

• Orchestration & Integration: Build and manage scalable data pipelines using Apache Airflow, dbt, and Airbyte, ensuring seamless data ingestion and movement.
• Product Development: Work hand in hand with Mixilo’s product team to address real client and internal users' issues, design technical solutions, and help prioritize the roadmap.
• Infrastructure as Code (IaC): Use Terraform to provision and manage cloud resources on AWS, maintaining a secure and cost-effective infrastructure.
• Kubernetes & GitOps: Manage containerized applications and services on Kubernetes (EKS), implementing continuous delivery practices to keep Mixilo running smoothly.
• Enhance DX (Developer Experience): Abstract away complex DAG and dbt logic to reduce manual work for the team and optimize our time to market.
• Data Reliability: Implement rigorous testing frameworks—specifically leveraging dbt tests—to ensure data quality and catch errors before they impact client recommendations.
• CI/CD for Data: Maintain and improve our CI/CD pipelines to automate testing, deployment, and infrastructure changes.