About The Position

The Senior Pre-Sales Engineer combines pre-sales engineering and solutions architecture to help enterprise clients integrate content from code repositories, CMS platforms, and other systems with Acclaro’s platform. The role serves as the primary technical architect for the largest enterprise accounts and as a technical partner to Strategic Account Managers and Business Development Directors. It designs solutions, builds proofs of concept, and demonstrates how the solutions deliver business outcomes. The position works closely with Sales, Delivery, Product, and Engineering and reports to the VP, Sales. The role leads technical discussions and demonstrations through the sales cycle, runs requirements workshops, and designs and improves end-to-end content workflows. It also deploys content intelligence workflows that combine Acclaro’s platform, large language models, and human feedback, while translating technical architectures into business value for non-technical stakeholders. The Senior Pre-Sales Engineer helps ensure proposed solutions are technically viable, supports smooth handovers and delivery, and improves processes through automation.

Requirements

  • Typically 7 or more years of progressive experience in localization engineering, pre-sales engineering, or solutions architecture at a large language service provider, language technology vendor, or global technology company, or equivalent experience.
  • Excellent cross-functional communication and the ability to align Sales, Delivery, Product, Engineering, linguists, and project managers.
  • Confidence handling complex enterprise procurement and IT security discussions.
  • Strong analytical and problem-solving skills, including the ability to simplify and automate complex manual processes.
  • Understanding of content intelligence and the shift from confirming delivery to determining whether content worked, with the ability to design and sell solutions for that shift.

Nice To Haves

  • Deep hands-on knowledge of at least two enterprise TMS platforms, such as Phrase, Lokalise, Trados Enterprise, Smartling, XTM, or memoQ.
  • Hands-on experience designing or scoping translation workflows combining machine translation, large language models, and human-in-the-loop review.
  • Development skills in at least one scripting language, such as Python, JavaScript, or Ruby, for automation.
  • Experience with Git workflows and CI/CD pipelines.
  • Experience with regular expressions (regex) and XPath for advanced text extraction.
  • Expert knowledge of localization standards, including XLIFF, TMX, TBX, and SRX.
  • Understanding of cloud infrastructure such as AWS, Azure, or GCP, and data privacy regulations such as GDPR and CCPA.

Responsibilities

  • Act as the technical authority during the sales cycle for Strategic Accounts and Business Development teams, present to senior client leaders and enterprise IT teams, and lead platform demonstrations.
  • Lead enterprise requirements workshops to define integration points, data models, and orchestration patterns.
  • Produce technical blueprints and data-flow diagrams that balance security, scalability, and maintainability.
  • Design, implement, and improve end-to-end workflows connecting translation management systems and Acclaro technology with client CMS, DMS, and other enterprise platforms.
  • Advise on API architecture, webhooks, and secure middleware development.
  • Build proofs of concept to validate proposed solutions and secure client buy-in.
  • Deploy content intelligence workflows that combine Acclaro’s platform, large language models, and human-in-the-loop feedback cycles.
  • Explain complex content intelligence architectures as compelling business value for non-technical stakeholders.
  • Work with Product and Engineering to track trends and develop solutions for customer needs.
  • Coordinate with Delivery and Operations to confirm technical viability, align Sales expectations with deliverable capabilities, and support smooth handover and execution.
  • Improve processes by automating manual QA gates and removing technical bottlenecks in the content lifecycle.
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