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ElasticMarketing AI Engineer
Elastic is a search AI company offering cloud-based solutions for search, security, and observability, powering tools like Elasticsearch, Kibana, Logstash, and Beats for customers including more…
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About This Role
Elastic is a search AI company offering cloud-based solutions for search, security, and observability, powering tools like Elasticsearch, Kibana, Logstash, and Beats for customers including more than 50% of the Fortune 500. The organization is expanding its marketing division and seeks a Marketing AI Engineer to join the Marketing AI, Operations and Automation group in India. This position is suited for an adaptable and self-driven technical professional who can handle…
Job Description
Elastic is a search AI company offering cloud-based solutions for search, security, and observability, powering tools like Elasticsearch, Kibana, Logstash, and Beats for customers including more than 50% of the Fortune 500. The organization is expanding its marketing division and seeks a Marketing AI Engineer to join the Marketing AI, Operations and Automation group in India. This position is suited for an adaptable and self-driven technical professional who can handle system integrations and automation tasks across a modern marketing technology stack.
In this hands-on role, the chosen candidate will design, build, and maintain automated marketing workflows, connect various platforms using APIs and webhooks, and integrate generative AI models to enable automated reasoning within daily operations. Responsibilities also include translating stakeholder requirements into functional workflow specifications, ensuring long-term system reliability, and creating clear technical documentation for non-technical team members. The ideal candidate will thrive in a fast-paced, globally distributed environment across multiple time zones, collaborating closely with operations, regional marketing, content, and demand generation teams.
Responsibilities
- Design and build automated marketing workflows using low-code or no-code platforms to ensure seamless data movement between systems.
- Integrate third-party services, marketing platforms, and AI content tools using APIs and webhooks while managing authentication, error states, and data formatting.
- Configure system-level prompts and agent behaviors for generative AI platforms to produce consistent, structured workflow outputs at scale.
- Trigger AI reasoning within workflows by programmatically calling LLM APIs, managing responses, and routing results back to connected tools.
- Collect requirements from various marketing functions and translate them into scalable workflow specifications.
- Maintain workflow reliability and write clear documentation to help non-technical stakeholders understand automation logic.
- Assess emerging tools and integration patterns to recommend additions based on organizational needs and technical fit.
- Collaborate across operations, regional marketing, content, and demand generation teams to eliminate operational friction.
Requirements
- Possess at least 4 years of professional experience in marketing operations, marketing technology engineering, or a closely related technical role involving integrations and automation.
- Demonstrate hands-on production experience building multi-step workflows with platforms such as Zapier, Make, Workfront Fusion, or n8n.
- Show practical experience working with APIs and webhooks, including building authenticated requests, reading documentation, managing errors, and passing data reliably.
- Bring experience connecting marketing platforms like Marketo, Workfront, or Google Workspace to external services through system-level integrations.
- Have experience incorporating at least one generative AI platform or AI model into workflows or integrations, including system-level prompt configuration.
- Demonstrate experience invoking LLM APIs to drive AI reasoning inside workflows, including programmatic prompt construction and response routing.
- Be able to gather requirements from non-technical colleagues and translate them into buildable workflow definitions.
- Write clear documentation to explain complex automation logic to others.
- Have experience collaborating within globally distributed teams operating across multiple time zones.
Qualifications
- Prior experience with Workfront, Zapier, Marketo, Adobe Fusion, or Google Suite.
- Knowledge of Google Apps Script, JavaScript, or Python for situations where no-code tools reach their limits.
Core Skills
Benefits
- Competitive compensation determined by role performance rather than previous salary.
- Health coverage for employees and their families in many locations.
- Flexible schedules and locations for many roles.
- Generous annual vacation days.
- A donation matching program up to $2,000 or local currency equivalent.
- Up to 40 hours per year for volunteer projects.
- A minimum of 16 weeks of parental leave.
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and work arrangement for the Marketing AI Engineer role?
The posting indicates the job is located in India and specifies an on-site remote status within a distributed company environment that offers flexible locations and schedules for many roles.
How many years of experience are required for this position?
Candidates must have four or more years of experience in marketing operations, marketing technology engineering, or a closely adjacent technical role focused on integrations and automation.
What is the salary offered for this role?
The source posting does not specify a salary figure, noting only that pay is competitive based on the work done rather than previous salary.
How can applicants request an accommodation during the recruitment process?
Applicants can request an accommodation by emailing candidate_accessibility@elastic.co, and requests will be answered within 24 business hours of submission.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.