Top Tech Jobs & Startup Jobs

Remote coordinator responsible for contacting policyholders by phone/SMS/email to schedule appraisals, assist homeowners with a photo-capture app (ASSIST), update work order statuses, meet productivity and quality goals, prioritize tasks, and report unusual situations to management.

Design, build, and operate scalable data transformation pipelines and dimensional models using dbt, SQL, and AWS. Implement infrastructure-as-code (AWS CDK), CI/CD, and query performance optimizations while ensuring data quality, governance, and collaboration with cross-functional and offshore teams.

Lead EXL's sports industry go-to-market and new business efforts. Develop strategy, co-create integrated digital and analytics solutions, build C-level relationships, win MSAs/SOWs, represent the firm publicly, and grow the sports portfolio across adjacent sectors.

Lead go-to-market and growth for Data, Digital, and AI solutions in Insurance. Own end-to-end sales lifecycle, win large complex deals, build CXO relationships, orchestrate cross-functional teams, drive pipeline, revenue, profitability, and early-stage expansion to scale strategic client engagements.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Client-facing technical role embedding with enterprise customers to deploy AI models and agentic workflows into production. Build, code, test, and troubleshoot solutions using the EXLdata.AI platform, integrate systems and data, translate business problems into technical solutions, and provide feedback to improve the core AI platform. Travel and on-site work with clients as needed.

Remote coordinator who schedules insurance appraisal appointments, supports homeowners with a photo-capture self-survey app, updates work order statuses, meets productivity targets, and communicates with managers, underwriters, agents, and policyholders to resolve issues and maintain quality.

Design, build, and operate production-grade, event-driven data pipelines (Kafka/Flink) on GCP to deliver model-ready features. Optimize BigQuery SQL and Parquet performance, develop Python data workloads (Polars/Pandas), deploy ML pipeline components on Kubeflow/Vertex AI with Docker, design event store architectures, and collaborate with ML and platform teams while documenting architecture and standards.

Lead design and build scalable autonomous and semi‑autonomous multi‑agent AI systems. Implement RAG pipelines, tool‑calling agents, memory, observability, and AgentOps. Ensure production readiness, safety, governance, and secure data handling. Provide technical leadership, mentor engineers, and shape platform standards across teams.

Lead Data Engineer builds and maintains scalable data pipelines and lakehouse/warehouse platforms (Databricks) to support analytics, BI, reporting, and AI. Responsibilities include data modeling, ETL/ELT, medallion architecture, orchestration and monitoring (Airflow/Cron), performance tuning, CDC/incremental loads, data quality, and leading/mentoring a team while collaborating with stakeholders and maintaining documentation.