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9 дней назад

Senior Sales Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global provides hirify.global 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 hirify.global 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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