Senior AI Data Engineer

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.

Every forecast, territory plan, and customer conversation at Elastic depends on the quality of our customer data. We're looking

for a Senior AI Engineer to join the RevTech Engineering team inside Revenue Operations and shape the data foundation our Sales

teams rely on.

Our customer data lives across Salesforce, marketing automation, billing, product telemetry, and support systems. Each has its own

definitions, gaps, and drift. This role turns that fragmented reality into a trusted, enriched, AI-ready dataset — and keeps it

that way as Elastic scales.

You'll partner with RevOps analysts, GTM systems teams, and the field organization to make sure the people closest to our

customers are working from a customer view they can trust. The work is field-facing: success looks like better account scoring,

cleaner segmentation, faster onboarding for new data sources, and AI-powered workflows that actually save sellers time. Because

this data is customer data, you'll also be responsible for holding the line on how it's handled — PII governance, consent

management, and responsible AI practices are part of the job, not a footnote.

• Build and maintain the golden customer dataset. Design the canonical dataset that unifies signals from across GTM systems into

a single, governed source of truth — including the enrichment pipelines, deduplication, entity resolution, and validation

systems that keep it accurate as sources land and drift.

• Make data AI-ready. Work with the RevOps Data Science team to prepare structured and unstructured data for downstream AI

workflows — account research, lead scoring, churn signals, CSM briefings — covering chunking, embedding strategy, metadata

design, and source integration across GTM systems, product telemetry, and third-party enrichment providers.

• Own quality and lineage. Implement monitoring, drift detection, and lineage tracking so anomalies surface before they reach a

forecast, a dashboard, or a seller's inbox.

• Set the standard. Define how RevTech prepares data for AI consumption and document the schemas, pipelines, and contracts

downstream teams depend on.

We're looking for a senior data and AI practitioner with 3+ years of experience building production pipelines that feed ML or

LLM-based systems — someone who knows how messy GTM data gets at scale and has the technical range to clean it, enrich it, and

make it AI-ready.

• GTM data fluency. You've worked with CRM data at scale — accounts, contacts, opportunities, leads — and understand the entity

resolution and deduplication challenges that come with it.

• AI-readiness experience. You've prepared data for RAG, embeddings, and AI agents, including chunking strategies, metadata

enrichment, and embedding model selection.

• LLM applied to data. You've used LLMs for extraction, classification, and normalization — and you know how to evaluate whether

they're working.

• Core tools. Python, senior-level SQL, and cloud infrastructure (AWS, Azure, or GCP) with orchestration experience (Airflow,

Dagster, or equivalent).

• Elastic Stack. Working knowledge of Elasticsearch, vector search, and ESRE — or genuine interest in building it.

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Prior experience inside a RevOps, GTM Systems, or Marketing Operations engineering team.

At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are

established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and

complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive

within the relevant labour markets.

The final compensation offered within the applicable range will be determined based on several objective factors, including

relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and

complexity of the position.

The typical starting salary range for this role is:

€67.000—€106.000 EUR

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.