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Marketing AI Engineer

Elastic · Posted Oct 14

Search, observability, security, and analytics platform services

Bangalore, IndiaFull-timeRemote · India-wideSenior Level4+ years₹25.0L–₹42.0L yearly27 applicants
SoftwareSearchArtificial IntelligenceCloud ComputingCybersecurityData AnalyticsPublic Company
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About the role

Elastic, the Search AI Company, builds the Elastic Search AI Platform, used by more than 50% of the Fortune 500, bringing together search and AI for search, security, and observability use cases. The Marketing AI, Operations and Automation team builds the automation infrastructure that powers marketing at scale. This role is a hands-on technical builder position responsible for connecting marketing systems via APIs and webhooks and calling AI/LLM models within live workflows.

What you will do

  • Design and build automated marketing workflows using no-code and low-code platforms, connecting tools across the marketing tech 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 you build, writing documentation clear enough for non-technical stakeholders to understand what runs, why, and how.
  • Evaluate new tools and integration patterns as the marketing tech stack evolves, recommending additions based on technical fit and organisational need.
  • Collaborate with operations, regional marketing, content, demand generation, and other marketing teams to understand where automation removes friction and build accordingly.

Skills used in this role

Workfront FusionZapierMaken8nWorkfrontMarketoAdobe FusionGoogle WorkspaceG SuiteAPIsWebhooksLLM APIsGenerative AIGoogle Apps ScriptJavaScriptPython

What the employer is looking for

  • 4+ years in marketing operations, marketing technology engineering, or a closely adjacent technical role focused on integrations and automation.
  • Hands-on experience building multi-step workflows using no-code or low-code platforms such as Workfront Fusion, Zapier, Make, or n8n in a production environment.
  • Practical experience working with APIs and webhooks: constructing authenticated requests, reading API documentation, handling errors, and passing data between systems reliably.
  • Experience connecting marketing platforms (Workfront, Marketo, Google Workspace, or similar) 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.
  • Strong written documentation habits, with the ability to make complex automation logic understandable to others.
  • Experience working across globally distributed teams spanning multiple time zones.
  • Preferred experience with Workfront, Zapier, Marketo, Adobe Fusion, Google Suite.

Preferred qualifications

  • Google Apps Script, JavaScript, or Python for cases where no-code tools reach their limits.

Benefits and support

  • Competitive pay based on the work you do here and not your previous salary
  • Health coverage for you and your family in many locations
  • Ability to craft your calendar with flexible locations and schedules for many roles
  • Generous number of vacation days each year
  • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
  • Up to 40 hours each year to use toward volunteer projects you love
  • Embracing parenthood with minimum of 16 weeks of parental leave

About Elastic

Elastic is a search AI company that builds self-managed and SaaS offerings for search, logging, security, observability, and analytics. Powered by the Elasticsearch platform, the company helps thousands of organizations worldwide transform massive volumes of data into actionable insights and real-time answers. Its modern search solutions are widely integrated across enterprise tech ecosystems to support advanced AI applications and automated security workloads.

Industry
Software
Company size
5001-10000 employees
Founded
2012
Location
Mountain View, California, USA
Funding stage
Public Company

Funding

Public Company · $162M raised

New Enterprise AssociatesBenchmarkIndex Ventures
  • 2012-11-01Series A$10M
  • 2013-03-01Series B$24M
  • 2014-06-05Series C$70M

Leadership

AK
Ashutosh Kulkarni

Chief Executive Officer

SB
Shay Banon

Founder and Chief Technology Officer

NW
Navam Welihinda

Chief Financial Officer