Senior Ai Data Engineer

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 onOur 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 scalesYou'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 trustThe 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 timeBecause 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 footnoteBuild 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 driftMake 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 providersOwn quality and lineage.Implement monitoring, drift detection, and lineage tracking so anomalies surface before they reach a forecast, a dashboard, or a seller's inboxSet the standard.Define how RevTech prepares data for AI consumption and document the schemas, pipelines, and contracts downstream teams depend onBenefitsToast to your health: Fully paid health coverage for you and your family, in many locations.Craft your calendar: Flexible location and schedule for most roles.Create space for you: Distributed by design workforce, plus generous number of vacation days each year.Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.Give back your time: 40 hours each year to use toward volunteering with organizations and causes you're passionate about.Amplify your impact: Double your charitable giving - we match donations up to $**** USD (or local currency equivalent).AI?readiness experience.You've prepared data for RAG, embeddings, and AI agents, including chunking strategies, metadata enrichment, and embedding model selectionUsted podría ser el solicitante perfecto para este trabajo.Lea toda la información asociada y asegúrese de presentar su candidatura.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?readyLLM applied to data.You've used LLMs for extraction, classification, and normalization - and you know how to evaluate whether they're workingCore tools.Python, senior?level SQL, and cloud infrastructure (AWS, Azure, or GCP) with orchestration experience (Airflow, Dagster, or equivalent)GTM data fluency.xqbhyrx You've worked with CRM data at scale - accounts, contacts, opportunities, leads - and understand the entity resolution and deduplication challenges that come with itElastic Stack.Working knowledge of Elasticsearch, vector search, and ESRE - or genuine interest in building itBachelor's or Master's degree in Computer Science, Data Engineering, or a related fieldPrior experience inside a RevOps, GTM Systems, or Marketing Operations engineering team#J-*****-Ljbffr

Lea toda la información asociada y asegúrese de presentar su candidatura.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?readyLLM applied to data. You've used LLMs for extraction, classification, and normalization - and you know how to evaluate whether they're workingCore tools. Python, senior?level SQL, and cloud infrastructure (AWS, Azure, or GCP) with orchestration experience (Airflow, Dagster, or equivalent)GTM data fluency. xqbhyrx You've worked with CRM data at scale - accounts, contacts, opportunities, leads - and understand the entity resolution and deduplication challenges that come with itElastic Stack. Working knowledge of Elasticsearch, vector search, and ESRE - or genuine interest in building itBachelor's or Master's degree in Computer Science, Data Engineering, or a related fieldPrior experience inside a RevOps, GTM Systems, or Marketing Operations engineering team#J-*****-Ljbffr