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Marketing AI Engineer

Join Elastic as a Marketing AI Engineer to design and build automation infrastructure for marketing at scale.

Location
Bangalore, India
Compensation
Not disclosed
Level
mid
Type
full time

Posted by employer 3 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 9 hours ago

What you'll build

  • Design and build automated marketing workflows
  • Integrate marketing platforms via APIs and webhooks
  • Work with AI models to build workflows
  • Call LLM APIs for AI reasoning
  • Gather requirements from marketing teams

Must have

  • 4+ years in marketing operations or technology engineering
  • Hands-on experience with no-code or low-code platforms
  • Practical experience with APIs and webhooks
  • Experience connecting marketing platforms to external tools
  • Experience with AI models in workflows

Nice to have

  • Experience with Workfront, Zapier, Marketo
  • Bonus: Google Apps Script, JavaScript, or Python

AI in the day-to-day

Work with AI models and generative AI platforms to build structured, repeatable workflows.

Requirements

Experience
4+ years

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Benefits

Volunteer Time Off Flexible Work Schedule Generous Vacation Days Health Insurance Parental Leave

Joblaze summary

In this role, the Marketing AI Engineer at Elastic is responsible for designing and implementing automated marketing workflows that enhance operational efficiency across various platforms. Key skills include hands-on experience with no-code tools, API integrations, and familiarity with AI models, particularly in generating structured outputs. This position is well-suited for someone with over four years in marketing operations or technology, who thrives in a fast-paced, collaborative environment. Elastic's marketing team is rapidly expanding, reflecting the company's growth and commitment to leveraging AI in its operations.

Joblaze insights

  • Listed yesterday — first seen on Joblaze October 15, 2026. Last confirmed on Elastic's careers page October 17, 2026.
  • Marketo appears in 2.2% of 134 comparable mid sales/marketing roles in India; APIs appears in 0.7% of 134 comparable mid sales/marketing roles in India.

Quick facts

How much experience is required?
At least 4 years of relevant experience for this Marketing AI Engineer role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI, APIs, Generative AI, Google Workspace, Make, Marketo.
What seniority level is this role?
Elastic targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Marketing AI Engineer role at Elastic.

From the original posting

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

Elastic, makers of the hugely popular open source products Elasticsearch, Kibana, Logstash, and Beats, is growing very fast and so is our marketing team. As a key member of the Marketing AI, Operations and Automation team, you will play a hands-on, critical role in designing and building the automation infrastructure that powers marketing at scale. From connecting systems via APIs and webhooks to calling AI models for reasoning within live workflows, you will be the technical builder behind how marketing teams work smarter and move faster.

Elastic is looking for a flexible and adaptable person with the ability to manage a variety of integration and automation challenges across a modern marketing tech stack. This is an ideal position for a self-motivated individual who has hands-on experience with no-code platforms and system integrations, is comfortable working directly with APIs and LLMs, and has the ability to work in a fast-paced, distributed environment.

What You Will Be Doing

  • 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.

What You Bring

  • 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.

Bonus Points

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

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