• Design, develop, and deploy scalable, high-performance software systems and infrastructure to solve complex business problems. • Collaborate closely with Data Scientists to support the integration of machine learning models and data pipelines into production systems, focusing primarily on software engineering aspects (e.g., code optimization, deployment, and system integration). • Work with Product & Engineering teams to integrate solutions into products and services, emphasizing system design, coding, and best practices. • Develop and manage data pipelines to handle large datasets, ensuring efficient data ingestion, transformation, and storage to support both data scientists and engineering needs. • Architect and implement scalable software systems, optimize existing systems, and build new features with a focus on system efficiency and scalability. • Manage databases and caching systems (e.g., MySQL, Redis, Elasticsearch), ensuring efficient data storage and retrieval, while supporting the needs of data scientists working with large datasets. • Deploy robust infrastructure solutions on AWS or GCP, ensuring high availability, fault tolerance, and scalability for data-heavy applications. • Conduct experiments and test hypotheses to improve system performance and reliability, leveraging collaboration with data scientists to ensure models and algorithms are properly integrated into production. • Communicate technical details and insights to both engineering and non-engineering stakeholders, fostering cross-functional understanding. • Stay updated on the latest developments in software engineering, system design, and infrastructure best practices, sharing knowledge with the broader team. • Provide technical mentorship and guidance to junior team members, encouraging continuous learning and development. • Ensure system compliance with data security and privacy regulations, incorporating best practices into development processes.

• Innovate, build, and invent on behalf of customers • Plan, execute and maintain entire products/features for millions of customers • Design and code solutions for broadly defined problems • Drive best practices and engineering excellence • Collaborate with team to develop architecture and design of systems • Work in an agile environment to deliver high-quality products

• Leverage AI and technology to empower Technical Support Engineers at Outreach. • Design, build, and own backend features for AI-driven support troubleshooting platform. • Implement AI tools that improve TSE efficiency and automate workflows. • Collaborate with peers and senior engineers to deep-dive into complex problems. • Maintain a high quality bar while delivering incremental value.

• Leverage AI and cutting-edge technologies in technical support engineering • Implement AI tools for TSE efficiency and workflow automation • Integrate disparate tools into a unified interface • Collaborate closely with the Engineering Manager to shape technical direction • Ensure platform scalability and reliability while delivering continuous value • Mentor senior and mid-level engineers