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Moder

Conversational AI-based enterprise workflow automation

Technical Program Trainer

Corporate & Technical Training +1Confirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • 2–5 years of experience working with technical enablement, training, instructional design, or technical education.
  • Experience designing and delivering technical curriculum.
  • Experience facilitating onboarding or enablement programs for technical or client-facing roles.
  • Demonstrated experience teaching software applications, the Software Development Life Cycle (SDLC), IT tools (Jira, GitHub, Azure DevOps, Visual Studio Code), Agile and Scrum methodologies, programming languages (Python, SQL, Java), CI/CD, and version control tools.
  • Strong instructional design skills and experience building competency-based learning programs.
  • Experience facilitating highly technical audiences and confidently answering detailed implementation questions.
  • Knowledge of data pipelines and transformation workflows, workshop applications, data integration concepts, and technical solution implementation.

Responsibilities

  • Design and maintain the core Fast Forward onboarding curriculum for Delta (technical) and Echo (deployment strategy) tracks.
  • Create structured learning paths covering Palantir Foundry fundamentals, ontology concepts, Pipeline Builder, workshop applications, data integration and modeling, and role-specific workflows.
  • Develop instructor-led, virtual, and self-paced learning experiences.
  • Create technical labs, exercises, documentation, and learning guides.
  • Facilitate onboarding for each Fast Forward cohort through live instruction, workshops, office hours, and structured check-ins during the first 90 days.
  • Deliver technical upskilling programs for experienced Forward Deployment Engineers and Deployment Strategists.
  • Coach learners through hands-on Foundry projects and practical implementation scenarios.
  • Adapt instruction to varying experience levels while maintaining consistent competency standards.
  • Translate competency frameworks and career ladder expectations into measurable learning objectives.
  • Develop technical assessments that provide hiring managers readiness signals beyond interview performance.
  • Design capstone projects that simulate real client delivery work.
  • Define evaluation criteria that support placement decisions and career progression.
  • Collaborate with engineering leaders, delivery managers, and hiring managers to identify emerging skill gaps.
  • Evolve curriculum based on client implementations, product enhancements, and lessons learned from delivery teams.
  • Partner with an external Palantir subject matter expert to validate curriculum quality and ensure alignment with Foundry best practices.
  • Maintain documentation, learning materials, and technical standards across all programs.
  • Perform other related duties as assigned.
  • Comply with company policies and procedures.
  • Maintain regular and punctual attendance.

Desired Qualifications

  • Previous experience at Palantir Technologies.
  • Former Forward Deployed Software Engineer (FDSE) or Deployment Strategist experience.
  • Experience working for a Palantir implementation partner.
  • Experience building certification programs or competency-based assessment frameworks.
  • Experience developing training for both technical and client-facing audiences from a shared curriculum.
  • Familiarity with AI, large language models (LLMs), automation, or modern data platforms.
  • Deep understanding of the Palantir Foundry platform.
  • Knowledge of ontology design principles and AI-enabled delivery workflows.
  • A bachelor's degree in Computer Science, Information Systems, Engineering, or Education, or equivalent practical experience.

About the Company

Moder

Conversational AI-based enterprise workflow automation

Moder provides a business software platform that uses conversational AI to automate and manage enterprise workflows. It offers a SaaS solution that users interact with via natural language—“Just talk to it”—to issue voice or text commands that trigger business tasks. The product works by recognizing user requests with AI models (including GenAI) and executing tasks inside workflows, acting as an intelligent assistant for operations. What sets Moder apart is its combination of enterprise focus and leadership with deep experience in financial services, technology, and AI-led transformation, aligning the product with industries like banking, wealth management, and insurance, and emphasizing AI adoption and digital transformation rather than generic features. Its goal is to help enterprises improve operational efficiency and scale AI-driven automation across business processes.

Company size
1-10
Company stage
Seed
Total funding
$510K
Headquarters
Åre kommun, Sweden
Founded
2020

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