Synced from Greenhouse · Oct 14

Marketing AI Engineer

ElasticBangalore, IndiaPosted Oct 14, 2026
AI EngineerMid
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Mirrored from Elastic's own Greenhouse careers system · refreshed hourly

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Oct 14
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Greenhouse
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Job descriptionReq 8265123

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.

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

  • 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

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

View original posting on Greenhouse

What applying to Elastic usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Elastic can typically expect a standard structured hiring workflow common to this platform. After submitting an application, candidates may receive an automated confirmation, and response times vary depending on the role and team. The process commonly includes an initial recruiter screen, followed by one or more interviews with hiring managers or team members, which may include multiple stages such as technical assessments, case studies, or panel discussions depending on the position. Communication is often conducted via email through the Greenhouse system, and candidates may be able to track general application status through a candidate portal. Overall, applicants should prepare for a methodical, multi-step evaluation process that can vary in length and structure based on department and seniority level.

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Marketing AI Engineer
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