Senior Sales Engineer

As a Senior 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. The OTE compensation range for this full-time role is $180,000–$200,000 USD, including base & bonus. Your exact offer depends on the scope of the role, your experience, and the skills you bring.

Responsibilities

Oversee and execute all sales engineering activities throughout the deal lifecycle, from initial engagement to deal closure; Develop presentations and configure demonstrations tailored to each prospect's industry and unique needs; Lead and execute Proof of Concepts (POCs), demonstrating the platform's effectiveness and customizing the platform to technical requirements; Lead in-depth technical discussions with clients, aligning Ataccama's solutions with their needs; Position Ataccama ONE as the data trust layer of the modern AI stack; Use generative AI tools every day to raise the speed and quality of presales work and share what works with the wider SE team; Maintain a thorough understanding of relevant technologies, competitors, business cases and industry specifics, including the AI and agent ecosystem; Work closely with Account Executives, providing technical insights and support to ensure a cohesive sales strategy within the given territory; Maintain a commitment to continuous learning and development

Requirements

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; Strong problem-solving and creative thinking skills; Currently authorized to work in the United States on a full-time basis

Nice to have

Experience leveraging Python for AI/ML prototyping or data science tasks

Benefits

Medical Insurance (including vision & dental); 401(k) with employer match contribution; Life Insurance; Long-term disability insurance; Employee Assistance Program (EAP); Long-Term Incentive Program; Equity grant; Bring Your Friend referral program; Paid vacation plus Flexible Time Off (FTO); 5 sick days; Global Family Support Program (paid parental leave); Flexible working hours & hybrid work setup; Conference tickets to industry events; Online courses & company access to Udemy