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
At Ataccama, our core values are Candid & Caring, so we are upfront about our process and details that are important to you. We sometimes use AI tools to help us with things like reviewing applications, taking notes from screening conversations, scheduling interviews, or supporting assessments. These tools make the process smoother and fairer - but don’t worry, they never make the final decision. Every hiring decision is made by our Talent Acquisition Partners and Hiring Managers, with AI only acting as a helpful assistant. We believe technology should support the process, not replace the human touch. We currently use AI-assisted tools - Metaview for interview notes and Lever Talent Fit to help highlight key experience.
The OTE compensation range for this full-time role is $200,000–$250,000 USD, including base & bonus. Your exact offer depends on the scope of the role, your experience, and the skills you bring. Salary is just one part of your compensation & wellbeing package- you will also be eligible for flexible time off, health benefits & family care leave, 401k with match, an equity grant, and many other perks.
Skills Required
- 5+ years of experience in a client-facing technical role such as Sales Engineering or Solutions Consulting
- Experience with Data Quality, Data Governance, or Master Data Management tools
- Working knowledge of data observability, data catalogs, data lineage, data products, data marketplaces, data mesh, or data contracts
- Proficiency using generative AI tools such as Claude, ChatGPT, or Copilot
- Hands-on familiarity with LLMs, AI agents, and the Model Context Protocol
- Proficiency in SQL, data pipelines, Databricks or Snowflake, and APIs
- Proven success working with large enterprises and complex technical environments
- Strong problem-solving and creative-thinking skills
- Programming experience, ideally in Python
- Experience using Python for AI/ML prototyping or data science tasks
Ataccama Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ataccama and has not been reviewed or approved by Ataccama.
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Leave & Time Off Breadth — US postings describe paid vacation plus flexible time off and defined sick days, indicating broad time-off coverage. Hybrid/flexible hours further support practical time-away needs.
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Parental & Family Support — US role descriptions include paid parental leave and a global family support program, pointing to meaningful family-oriented support. This suggests family leave is a defined part of the package rather than ad hoc.
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Fair & Transparent Compensation — Employer-provided salary ranges appear on multiple postings, setting clearer expectations for pay. This visibility helps candidates understand compensation parameters up front.
Ataccama Insights
What We Do
Ataccama Corporation is an international software company that prides itself in delivering cutting-edge technology used for data quality, master data management, data governance, and big data. Leading financial, commercial, and government organizations choose Ataccama technologies for their proven ability to execute and deliver real business benefits.
