{"id":2032857,"url":"https://alion.io/job/ataccama-senior-sales-engineer","title":"Senior Sales Engineer","company":{"id":6129,"name":"Ataccama","domain":"ataccama.com","url":"https://alion.io/company/ataccama","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":79000,"max_usd":161000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"LLM","optional":false},{"name":"Master Data Management","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-07T14:53:29Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-19T02:46:03Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"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.\nYour Challenge\nSales Engineering Lifecycle Management: Oversee and execute all sales engineering activities throughout the deal lifecycle, from initial engagement to deal closure.\n\nCustomized 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.\n\nSpearhead 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.\n\nAdvanced Client Engagement: Lead in-depth technical discussions with clients, effectively aligning Ataccama’s solutions with their needs.\n\nData Trust for AI Champion: Position Ataccama ONE as the data trust layer of the modern AI stack.\n\nAI-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.\n\nIndustry 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).\n\nCollaboration with Account Executives: Work closely with Account Executives, providing technical insights and support to ensure a cohesive sales strategy within the given territory.\n\nProfessional Development: Maintain a commitment to continuous learning and development, staying ahead of industry trends and Ataccama product advancements\n\nIs This You?\n5+ years experience in a client-facing technical role (Sales Engineering, Solutions Consulting, etc.)\n\nExperience working with Data Quality, Data Governance or Master Data Management tools\n\nWorking knowledge of data observability, data catalog and lineage, and data product / data marketplace concepts (e.g. data mesh, data contracts)\n\nProficient 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)\n\nProficient in SQL, data pipelines, Databricks/Snowflake, APIs, and preferably programming experience ideally in Python.\n\nProven success working with large enterprises with complex technical environments\n\nExperience leveraging Python for AI/ML prototyping or data science tasks is a strong plus.\n\nStrong problem-solving and creative thinking skills","description_format":"text","description_chars":2974,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Professional development"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data 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