• Create, enhance, and maintain Smartcat’s AI strategy, solidifying our market position as the leading Language AI platform for enterprises • Lead with a vision on the future of AI, anticipating where the industry is heading and how to create strong tech IP and defensibility in the areas that are aligned with the company strategy • There are three high-impact areas to focus on over the next 12 months: • Language AI Quality: Smartcat delivers distinctly higher quality in AI-generated translations and content for enterprise customers, thanks to continuous feedback from their employees, which helps improve AI output. • You will also lead the development of a systematic technological approach to AI quality customization, using use case-specific AI agents integrated with our platform and data layers. • Redesigning Product Experiences: Working with the UI/UX and other product teams, you will redesign every existing product experience and use case with an AI-first approach, focusing on improvements in quality, turnaround time, and creating innovative user experiences. • AI-Driven Customer Lifecycle: You will lead the creation of an AI-driven customer lifecycle product within the Smartcat platform, leveraging real-time data on each user’s intent and in-product actions to deliver best-in-class, customized onboarding and support experiences. • You will continue building and managing a team of top AI/ML engineers, fostering a culture of innovation, urgency, and customer-centricity.

• Build and deliver AI/ML and data solutions on Azure with minimal oversight. • Apply modern frameworks, tools, and engineering practices to design scalable solutions. • Ensure solutions meet expectations for performance, reliability, security, and quality. • Contribute to discovery sessions and solution‑design workshops with technical insight. • Translate business requirements into actionable, well‑structured technical components. • Build trust with client stakeholders through thoughtful communication and high-quality delivery. • Work independently within project teams to deliver assigned components on time and with quality. • Collaborate with architects and project leads to address technical and delivery challenges. • Support pre‑sales and proposal development by providing technical expertise. • Share knowledge with peers and junior team members. • Contribute to practice assets including best practices, frameworks, and accelerators. • Stay current with emerging AI trends and proactively expand your skills.

• Build automated systems that drive efficiency across the marketing team • Own and optimize our marketing automation platform (Pardot) and its integration with Salesforce CRM • Manage and troubleshoot integrations across the tech stack • Be the de facto expert on all things AI for the Marketing organization • Ensure data integrity, accuracy, and security across platforms • Administer user permissions and ensure compliance with data privacy regulations • Design and maintain lead scoring, routing, and nurturing workflows • Ensure MQL tracking accuracy and data hygiene within Salesforce • Manage attribution models to track and optimize marketing performance and campaign ROI • Build, automate, and maintain marketing performance dashboards • Provide actionable insights into lead conversion, campaign effectiveness, and pipeline impact • Support campaign execution by ensuring proper setup of automation workflows • Manage campaign data accuracy • Implement A/B testing frameworks to optimize engagement and conversion rates • Partner with Sales, Customer Success, and Revenue Operations to ensure smooth lead flow and process alignment • Train and support internal teams on marketing tools, best practices, and analytics

• Design, develop, and deploy customer-centric features that leverage data science, machine learning (ML) and generative AI technologies. • Contribute to tangible, quantifiable, and measurable impact on Sprout Social’s highest priority AI initiatives, directly benefiting our customers and driving key business outcomes. • Develop robust frameworks for evaluation and measurement of AI features to increase speed, improve quality, and provide demonstrable ROI of product enhancements. • Collaborate closely with product management, design, and software engineering partners to deliver high quality AI solutions quickly and confidently. • Effectively communicate AI capabilities, limitations, and product implications, ensuring alignment between technical possibilities, customer needs, and product vision.