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Navan

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Data Integration Engineer

Navan is seeking an AI Integration Engineer to join our Business Technology team. You will focus on building and maintaining AI powered integrations and agents on top of our internal business systems, primarily using Workato and Python, with exposure to leading LLM platforms (OpenAI, Anthropic, Gemini, etc.). This is a mid-level, hands on engineering role with room to grow into more ownership over time.

What You’ll Do

  • Build and maintain integrations between business systems (Salesforce, Gong, Snowflake, Slack, NetSuite, etc.) using Workato and Python
  • Implement AI agents that:
    • Enrich prospect and customer data from call transcripts and product usage
    • Monitor deal health across the open pipeline and surface risk
    • Track competitive mentions and correlate them with outcomes
  • Develop MCP-style tools/connectors that safely expose business-system data and actions to LLMs
  • Integrate with REST and SOAP APIs using JSON/XML, including tool-calling interfaces for agents
  • Apply ETL techniques and data modeling approaches to design AI-ready and analytics-ready data flows
  • Write SQL scripts to analyze datasets, debug pipelines, and evaluate agent performance
  • Productionize POCs from platforms like Gemini Enterprise, OpenAI, and Anthropic into reliable workflows
  • Document integrations, agents, and data contracts for reuse and maintenance

Must Have

  • 3–5 years of experience working with an integration platform (Workato strongly preferred if multiple platforms)
  • 2+ years of experience with an object-oriented language (Python preferred)
  • Experience integrating with REST & SOAP APIs using JSON/XML documents
  • Experience with ETL techniques and data modeling approaches
  • Experience writing SQL scripts to analyze datasets and troubleshoot issues
  • Experience with at least one major SaaS business system (e.g., Salesforce, NetSuite, or similar)
  • Fluency in the English language

Nice to Have

  • Hands-on experience with LLM / AI platforms (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.)
  • Experience building tools/agents that call external APIs or implement function-calling / MCP-style patterns
  • Knowledge of data objects and APIs for Salesforce, Gong, Snowflake, Marketo, and/or Slack
  • Familiarity with GTM / RevOps concepts (pipeline, forecast, win/loss, competitive intel)
  • Interest in growing into a role with more design and ownership over AI and integration architecture

Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.

Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.

  • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated.

Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

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What this application asks

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First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • Preferred First Name optional
  • LinkedIn Profile optional
  • Are you comfortable with this being an in-office position at our office? choose one
  • Are you currently eligible to work in the country outlined for this position, and authorized to work for Navan on an ongoing indefinite basis? choose one
  • Will you now or in the future require sponsorship by Navan to attain or maintain your employment eligibility? choose one
  • How did you hear about this job?
  • Total years of experience choose one
  • Current/Previous Company: Please add previous company if you are currently unemployed
  • Current Title
  • Current Base Compensation
  • Current Variable Compensation
  • Expected Compensation
  • Any offer in hand? choose one
  • Current Company Notice Period (number of days) choose one
  • Are you comfortable working during overlapping US hours for weekly calls? choose one
  • This role operates on a hybrid work model, requiring you to work from one of our global offices 4 days per week (including 2 Fridays each month). Are you comfortable with this policy, and are you currently located at, or willing to relocate to, one of our office locations? choose one
  • Have you ever been employed by, applied to, or are you currently employed by Navan or any of its affiliated or group companies (Reed & Mackay)? choose one

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