Ingénieur(e) senior avant-vente

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements (or Qualifications), Benefits?, Pay?, Schedule? Only include sections with real content. From posting: We have "À propos du poste" (About the role) content. Then "Vos responsabilités" (Responsibilities). Then "Qualifications". Then "À quoi ressemble la réussite dans ce rôle" (What Success Looks Like) maybe could be part of Responsibilities? But it's separate; could be a section like "Success metrics" but not in allowed headings list. Allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can map "Qualifications" to Qualifications. "À quoi ressemble la réussite..." maybe could be considered part of Responsibilities or maybe we could create a "Skills" section? Not exactly. Better to include as part of Responsibilities? But we must preserve all substantive info; we could create a separate section "What Success Looks Like" but not allowed heading. Could we treat it as part of Responsibilities? Might be okay to include under Responsibilities as extra bullet? But we must not invent headings. The instruction: "use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It says e.g., implying those are examples, but we should only use those headings? Likely we should only use those headings. So we need to fit content into those categories. We have About the role (already). Responsibilities (we have). Qualifications (we have). Possibly Skills could be extracted from qualifications? But we already have Qualifications; maybe we can put skills under Qualifications. Benefits, Pay, Schedule: not provided. So we omit those sections. We also have "Working Conditions" (Hybrid role based in Montreal or New York, travel required, work authorization). This could be considered under Benefits? Not exactly. Could be under "Schedule"? Not really. Could be under "Benefits"? Not benefits. Could be under "About the role"? Might be considered part of role description. But we need to preserve all substantive info. We could include a short paragraph under About the role or Responsibilities? Perhaps we can add a paragraph after Qualifications about Working Conditions as a

without a heading? The instruction: "Output ONLY the HTML fragment — no /, no markdown code fences." It didn't forbid extra paragraphs without heading. It said use

for section headings (e.g...). Use

• for any list of duties/requirements/benefits, and

  for prose. So we can have prose paragraphs not under headings? Probably yes, but better to structure with headings for sections. For Working Conditions, we could create a section "Benefits"? Not accurate. Could create a section "Schedule"? Not accurate. Could create a section "About the role" and include working conditions there. That seems okay: About the role can include details about location, travel, work auth. Thus we will have:

  About the role

  ... (including description from About The Role and Working Conditions)

  Responsibilities

  • ... each bullet

  Qualifications

  • ... each bullet
  We need to preserve all substantive information: include the bullet points from responsibilities, qualifications, and also the "What Success Looks Like" and "Why Join Us" maybe? Those are substantive. Where to put them? Could be under About the role? Or maybe we can add a section "Benefits" for Why Join Us? Not exactly benefits but could be considered benefits/perks. However the instruction says only create Benefits section if posting actually states them. The posting includes "Why you join us" which is basically benefits/value proposition. So we could create a Benefits section with those points. That seems appropriate: Benefits (why join us). Also "What Success Looks Like" could be considered part of Responsibilities or maybe a separate section like "Expectations"? Not in list. Could be included under Responsibilities as extra bullets about outcomes. But we can also put under Qualifications? Not ideal. Better: create a section "Benefits" for Why Join Us. And maybe incorporate "What Success Looks Like" into Responsibilities as bullet points about outcomes. Let's extract details. About the role (English version): "We are seeking a PreSales Engineer to support the growth of ArgonOS across North America. This role sits at the intersection of enterprise AI, data platforms, technical consulting, and customer strategy. You will partner closely with Sales, Product, and prospective customers to understand complex business challenges and demonstrate how ArgonOS can transform fragmented data into actionable intelligence. The ideal candidate is equally comfortable discussing architecture with technical teams, presenting business value to executives, and building compelling demonstrations tailored to customer environments. As ArgonOS continues expanding in North America, this role offers the opportunity to help shape go-to-market strategy, customer engagement approaches, and technical positioning in a rapidly evolving AI landscape." Working Conditions: "Hybrid role based in Montreal, QC or New York, NY (preferred)Travel required to support customer meetings, strategic opportunities, demonstrations, and industry eventsWe are currently unable to consider candidates who require, or will require in the future, sponsorship for work authorization. Applicants must be authorized to work in the US/C" We need to preserve that. Responsibilities bullet list (from French and English). Let's combine: - Partner with Account Executives to understand customer business challenges, technical environments, and strategic priorities - Lead technical discovery sessions with stakeholders ranging from engineers to executive leadership - Translate complex customer requirements into tailored AI and data platform solutions - Design and deliver compelling demonstrations showcasing ArgonOS capabilities and business value - Build customized proof-of-concepts (POCs), prototypes, and technical presentations aligned with customer use cases - Clearly communicate complex AI, data, and platform concepts to both technical and non-technical audiences - Advise customers on deployment strategies, integrations, and architecture considerations - Support discussions involving APIs, cloud environments, enterprise systems, and data ecosystems - Partner with Product and Engineering teams to provide customer feedback and influence future platform direction - Work closely with Product, Engineering, and Commercial teams to refine technical messaging and improve customer outcomes - Contribute to demo assets, technical documentation, and enablement materials - Support strategic opportunities and help establish ArgonOS within the North American market Qualifications bullet list: - 8+ years of experience in PreSales Engineering, Sales Engineering, Technical Consulting, or related customer-facing technical roles - Experience supporting enterprise AI software, RAG platforms, analytics solutions, or data products - Strong understanding of APIs, cloud environments, enterprise architectures, and integrations - Ability to communicate complex technical concepts to both technical and executive audiences - Experience designing demonstrations, proof-of-concepts, or technical presentations for customers - Experience operating in high-growth or rapidly evolving technology environments - Experience supporting customers in industries such as manufacturing, government, financial services, healthcare, or regulated sectors - Excellent communication and presentation skills with a consultative mindset What Success Looks Like (could be added as bullets under Responsibilities or maybe a separate section "Expectations"? Not allowed. We'll add as bullets under Responsibilities maybe as extra bullet points about outcomes: - Build trusted relationships with customers and become a strategic technical advisor - Deliver compelling demonstrations that clearly connect technology capabilities to business outcomes - Support successful proof-of-concepts and contribute to revenue growth in North America - Help establish ArgonOS as a leading enterprise AI and data platform in the region Why Join Us (Benefits): - Work at the forefront of enterprise AI and agentic technologies - Shape the growth of an emerging platform within the North American market - Partner with global teams across Product, Engineering, and Commercial functions - Engage with complex enterprise environments and high-impact transformation initiatives - Join a rapidly growing international organization helping define the future of AI-powered decision intelligence We'll put these under

  Benefits

  with
  . Now ensure we don't repeat job title as heading. We won't. We must not include boilerplate like cookie/navigation/legal/EEO etc. We removed. Now produce HTML fragment:

  About the role

  We are seeking a PreSales Engineer to support the growth of ArgonOS across North America. This role sits at the intersection of enterprise AI, data platforms, technical consulting, and customer strategy. You will partner closely with Sales, Product, and prospective customers to understand complex business challenges and demonstrate how ArgonOS can transform fragmented data into actionable intelligence. The ideal candidate is equally comfortable discussing architecture with technical teams, presenting business value to executives, and building compelling demonstrations tailored to customer environments. As ArgonOS continues expanding in North America, this role offers the opportunity to help shape go-to-market strategy, customer engagement approaches, and technical positioning in a rapidly evolving AI landscape. Hybrid role based in Montreal, QC or New York, NY (preferred). Travel required to support customer meetings, strategic opportunities, demonstrations, and industry events. Applicants must be authorized to work in the US or Canada without requiring current or future employer sponsorship for work authorization.

  Responsibilities

  • Partner with Account Executives to understand customer business challenges, technical environments, and strategic priorities
  • Lead technical discovery sessions with stakeholders ranging from engineers to executive leadership
  • Translate complex customer requirements into tailored AI and data platform solutions
  • Design and deliver compelling demonstrations showcasing ArgonOS capabilities and business value
  • Build customized proof-of-concepts (POCs), prototypes, and technical presentations aligned with customer use cases
  • Clearly communicate complex AI, data, and platform concepts to both technical and non-technical audiences
  • Advise customers on deployment strategies, integrations, and architecture considerations
  • Support discussions involving APIs, cloud environments, enterprise systems, and data ecosystems
  • Partner with Product and Engineering teams to provide customer feedback and influence future platform direction
  • Work closely with Product, Engineering, and Commercial teams to refine technical messaging and improve customer outcomes
  • Contribute to demo assets, technical documentation, and enablement materials
  • Support strategic opportunities and help establish ArgonOS within the North American market
  • Build trusted relationships with customers and become a strategic technical advisor
  • Deliver compelling demonstrations that clearly connect technology capabilities to business outcomes
  • Support successful proof-of-concepts and contribute to revenue growth in North America
  • Help establish ArgonOS as a leading enterprise AI and data platform in the region

  Qualifications

  • 8+ years of experience in PreSales Engineering, Sales Engineering, Technical Consulting, or related customer-facing technical roles
  • Experience supporting enterprise AI software, RAG platforms, analytics solutions, or data products
  • Strong understanding of APIs, cloud environments, enterprise architectures, and integrations
  • Ability to communicate complex technical concepts to both technical and executive audiences
  • Experience designing demonstrations, proof-of-concepts, or technical presentations for customers
  • Experience operating in high-growth or rapidly evolving technology environments
  • Experience supporting customers in industries such as manufacturing, government, financial services, healthcare, or regulated sectors
  • Excellent communication and presentation skills with a consultative mindset

  Benefits

  • Work at the forefront of enterprise AI and agentic technologies
  • Shape the growth of an emerging platform within the North American market
  • Partner with global teams across Product, Engineering, and Commercial functions
  • Engage with complex enterprise environments and high-impact transformation initiatives
  • Join a rapidly growing international organization helping define the future of AI-powered decision intelligence
  Check for any duplicated lines: we have not repeated. Make sure no