Jobs at DataXstream

Build and deploy production machine learning models for recommendations, propensity scoring, forecasting, and document intelligence. Own the modeling lifecycle from data preparation and feature engineering through evaluation, monitoring, and retraining. Work with enterprise SAP data, customers, product teams, and implementation engineers to integrate reliable model outputs into the platform. Establish reproducible pipelines, responsible AI practices, documentation, and production standards.

Design, build, and optimize enterprise search capabilities using OpenSearch, including mappings, analyzers, indexing pipelines, query DSL, relevance tuning, vector and hybrid search, and search APIs. Diagnose performance issues, support customer implementations, define cluster and lifecycle requirements, collaborate with product and engineering teams, and document search architecture and relevance decisions.

Own the enterprise data layer on SAP HANA Cloud, designing relational and graph models, optimizing SQL and SQLScript performance, and building ingestion and replication pipelines. Develop secure service layers, enforce schema and database standards, implement multi-tenant access controls, and manage monitoring, recovery, capacity, and upgrades. Partner with machine learning and search teams to support feature pipelines and indexing, while documenting data models and graph schemas.

Lead SAP and OMS+ pre-sales engagements by gathering requirements, designing persona-based demonstrations, and presenting value-focused solutions. Advise prospects on SAP SD, BTP, BDC, CX, and cloud architecture while creating AI-enhanced demos using SAP Joule and Claude AI. Collaborate with sales, product, marketing, implementation, and customer technical teams to address requirements, build trusted relationships, communicate solution value, and relay customer feedback for product improvement.

Build DataXstream’s SAP partner referral motion from the ground up. Recruit and develop SI and ISV partners, establish SAP seller alignment, create enablement and co-marketing programs, design deal-registration and co-sell processes, manage partner-sourced pipeline handoffs, and report on KPIs including SALs, SQLs, and ARR. The role requires cross-functional collaboration with Sales, Marketing, Sales Operations, and executive partnership leaders, along with travel to SAP and partner events.

Leads and scales a global presales engineering organization, developing talent, processes, demos, proofs of concept, and solution architectures. Integrates AI into presales workflows, positions SAP Order Management across ECC and S/4HANA, supports enterprise go-to-market and deal pursuits, informs product roadmaps through field feedback, defines presales KPIs, and partners with Sales, Product, Marketing, delivery, and customer success.

Lead design and implementation of LLM-based features and agentic workflows for an enterprise SaaS OMS platform. Build and optimize models, data pipelines, and AI infrastructure; deploy, monitor, and fine-tune production models; implement responsible AI guardrails; collaborate with product, data, and engineering teams; mentor junior staff and drive scalable, reliable AI solutions.