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.
Ataccama Boston, Massachusetts, USA Office
Boston, United States
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
