Senior Sales Engineer

Job description

**Ataccama** is the agentic data trust company. Organizations worldwide rely on Ataccama ONE, the agentic data trust platform, to ensure data is accurate, accessible, and trusted for every decision and system. Powered by the ONE AI Agent, Ataccama ONE brings autonomy to data quality and governance, continuously monitoring, improving, and explaining the reliability of data across complex enterprise and multi-agent environments. At the core of the platform is Ataccama’s market-leading data quality, with modules built around it to unify data quality monitoring, catalog, lineage, observability, and reference data management, ensuring data is consistent and explainable. This quality-first foundation makes data the engine of trust, powering AI, analytics, and operations with confidence. Recognized as a Leader in the **2026 Gartner Magic Quadrant for Augmented Data Quality and positioned furthest in Completeness of Vision**, as well as a Leader in the **2026 Forrester Wave for Data Quality Solutions**, Ataccama continues to set the standard for enterprise-grade data trust. Our people are located across the globe. They succeed by collaborating as a team and thrive in our company culture defined by these core values: **Challenging Fun** **ONE Team** **Customer Centric** **Candid and Caring** **Aim High** As aSenior Sales Engineer, you will work closely with Account Executives to drive sales engineering activities across the entire deal lifecycle. This role requires adaptability, deep technical expertise, and the ability to create customized solutions that resonate with clients across diverse industries. You will show customers how trusted data becomes the foundation for reliable analytics, AI, and autonomous agents. ### Your Challenge - **Sales Engineering Lifecycle Management:** Oversee and execute all sales engineering activities throughout the deal lifecycle, from initial engagement to deal closure. - **Customized Client Solutions:** Develop presentations and configure demonstrations to meet the specific needs of the audience, tailoring it to each prospect's industry and unique needs. - **Spearhead Proof of Concepts (POCs):** Lead and execute Proof of Concepts (POCs), demonstrating the platform’s effectiveness in addressing client-specific business pains and customizing the platform to technical requirements. - **Advanced Client Engagement:** Lead in-depth technical discussions with clients, effectively aligning Ataccama’s solutions with their needs. - **Data Trust for AI Champion:** Position Ataccama ONE as the data trust layer of the modern AI stack. - **AI-Augmented Ways of Working:** Use generative AI tools every day to raise the speed and quality of presales work, such as account research, demo data and scenario building, RFP/RFI responses, and POC scripting. Share what works with the wider SE team. - **Industry and Product Expertise**: Maintain a thorough understanding of relevant technologies, competitors, business cases and industry specifics to effectively align solutions,, including the fast-moving AI and agent ecosystem (LLM platforms, agent frameworks, MCP). - **Collaboration with Account Executives:** Work closely with Account Executives, providing technical insights and support to ensure a cohesive sales strategy within the given territory. - **Professional Development:** Maintain a commitment to continuous learning and development, staying ahead of industry trends and Ataccama product advancements ### Is This You? - 5+ years experience in a client-facing technical role (Sales Engineering, Solutions Consulting, etc.) - Experience working with Data Quality, Data Governance or Master Data Management tools - Working knowledge of data observability, data catalog and lineage, and data product / data marketplace concepts (e.g. data mesh, data contracts) - Proficient in using generative AI tools (e.g. Claude, ChatGPT, Copilot) in daily work, with hands-on familiarity with LLMs, AI agents, and the Model Context Protocol (MCP) - Proficient in SQL, data pipelines, Databricks/Snowflake, APIs, and preferably programming experience ideally in Python. - Proven success working with large enterprises with complex technical environments - Experience leveraging Python for AI/ML prototyping or data science tasks is a strong plus. - Strong problem-solving and creative thinking skills