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Elastic

Searches enterprise data and monitors systems

Marketing AI Engineer

Software EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 4 years of experience in marketing operations, marketing technology engineering, or a closely adjacent technical role focused on integrations and automation.
  • Hands-on experience building multi-step workflows in a production environment using no-code or low-code platforms such as Workfront Fusion, Zapier, Make, or n8n.
  • Practical experience with APIs and webhooks, including constructing authenticated requests, reading API documentation, handling errors, and passing data reliably between systems.
  • Experience connecting marketing platforms such as Workfront, Marketo, or Google Workspace to external tools and services through system-level integrations.
  • Experience working with at least one AI model or generative AI platform in a workflow or integration context, including configuring system-level prompts and handling structured outputs.
  • Experience calling LLM APIs to trigger AI reasoning within a workflow, including constructing prompts programmatically, handling responses, and routing outputs back to connected systems.
  • Ability to gather requirements from non-technical stakeholders and convert them into buildable workflow specifications.
  • Ability to write documentation that makes complex automation logic understandable to others.
  • Experience working across globally distributed teams spanning multiple time zones.

Responsibilities

  • Design and build automated marketing workflows using no-code and low-code platforms, connecting tools across the marketing technology stack so data flows reliably between systems without manual intervention.
  • Integrate marketing platforms, AI content tools, and third-party services via APIs and webhooks, handling authentication, error states, and data formatting across each connection.
  • Work with AI models and generative AI platforms to build structured, repeatable workflows that produce consistent outputs at scale, configuring prompts and agent behaviour at the system level.
  • Call LLM APIs to trigger AI reasoning within workflows, constructing prompts programmatically, handling model responses, and routing outputs back to connected systems.
  • Gather requirements from marketing teams across functions and translate them into workflow specifications, identifying opportunities for reuse and cross-team impact over single-team solutions.
  • Own the reliability and maintainability of the workflows built, and write documentation clear enough for non-technical stakeholders to understand what runs, why, and how.
  • Evaluate new tools and integration patterns as the marketing technology stack evolves, recommending additions based on technical fit and organisational need.
  • Collaborate with operations, regional marketing, content, demand generation, and other marketing teams to identify where automation removes friction and build accordingly.

Desired Qualifications

  • Preferred experience with Workfront, Zapier, Marketo, Adobe Fusion, or Google Suite.
  • Google Apps Script, JavaScript, or Python for cases where no-code tools reach their limits.

About the Company

Elastic

Searches enterprise data and monitors systems

Elastic builds search, observability and security software for developers, IT operations teams and security analysts. Elasticsearch indexes enterprise data so applications can retrieve records, while Kibana gives teams dashboards for exploring results and investigating system activity. Customers use the tools to search business information, monitor applications and infrastructure, and investigate threats across their data. Elastic sells managed cloud services and self-managed subscriptions, with resource-based hosted pricing, usage-based serverless pricing and licenses tied to nodes and memory. Founded in 2012, Elastic lists San Francisco, California, as its headquarters.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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