9 дней назад
Senior Sales Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Sales Engineer (Data Quality/AI): Leading sales engineering activities, customized demonstrations, and proof-of-concept delivery for an enterprise data trust platform with an accent on data quality, governance, observability, and AI-agent technologies. Focus on aligning complex client environments with Ataccama ONE, building technical solutions with SQL, APIs, data pipelines, Databricks/Snowflake, and using generative AI throughout presales.
Location: Toronto, Canada; hybrid work setup
Company
provides ONE, an agentic data trust platform for data quality, governance, cataloging, lineage, observability, and reference data management.
What you will do
- Manage sales engineering activities across the full deal lifecycle, from initial engagement through deal closure.
- Create customized presentations, demonstrations, and solutions for prospects across diverse industries.
- Lead proof-of-concept projects, configure the platform, and demonstrate solutions to client-specific business and technical challenges.
- Conduct advanced technical discussions and position ONE as the data trust layer for analytics, AI, and autonomous agents.
- Use generative AI tools for account research, demo data and scenario creation, RFP/RFI responses, and POC scripting.
- Collaborate with Account Executives and maintain current knowledge of products, competitors, industry needs, LLM platforms, agent frameworks, and MCP.
Requirements
- 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, lineage, data products, data marketplaces, data mesh, and data contracts.
- Hands-on familiarity with generative AI tools, LLMs, AI agents, and the Model Context Protocol.
- Proficiency in SQL, data pipelines, Databricks or Snowflake, and APIs; programming experience, ideally in Python.
- Experience working with large enterprises and complex technical environments, supported by strong problem-solving and creative thinking skills.
Nice to have
- Python experience for AI/ML prototyping or data science tasks.
Culture & Benefits
- Hybrid work setup with flexible working hours.
- Paid vacation, Flexible Time Off, and five sick days.
- Health, vision, dental, and mental health support benefits.
- Global Family Support Program and RRSP plan.
- Long-Term Incentive Program, referral program, and corporate discounts.
- Online courses and access to Udemy.
Hiring process
- AI-assisted tools may support application review, interview notes, scheduling, and assessments, while final decisions are made by the Talent Acquisition team and hiring managers.
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