Top Tech Jobs & Startup Jobs

Design, develop, and maintain scalable data ingestion, transformation, and orchestration pipelines in Palantir Foundry using Python and PySpark. Build reporting-ready datasets and data models for Power BI, ensure data quality and monitoring, troubleshoot production issues, optimize ETL/ELT processes, document solutions, and collaborate with stakeholders to translate business requirements into scalable data solutions.

Lead multiple concurrent GenAI software projects from initiation to closure, aligning delivery with business objectives. Manage cross-functional teams (AI, data, MLOps, QA), drive Agile ceremonies, maintain project plans and roadmaps, mitigate AI-specific risks and dependencies, communicate status to stakeholders, and improve PM best practices and delivery processes.

Design, develop, test, and maintain .NET-based applications and services for EHR interoperability. Implement CI/CD and Terraform IaC, optimize performance, write unit tests, mentor juniors, and collaborate in Agile teams to meet clinical data exchange requirements.

Design, build, and maintain scalable data pipelines and Foundry artifacts; translate requirements into data models; implement ETL/ELT processes; monitor and optimize pipeline performance; ensure data governance, security, and availability; troubleshoot production issues and document solutions.

Lead design and implementation of scalable, cloud-native marketing data pipelines on GCP. Build and optimize BigQuery models, implement CI/CD for data workflows, support a canonical data model and DataHub catalog, ensure brand data isolation, and collaborate with product, Martech, and analytics teams to improve marketing attribution and reporting.

Design, deploy, and manage GCP infrastructure using Terraform and Ansible; build CI/CD pipelines (Jenkins, GitLab CI) and GitOps workflows; manage Docker/Kubernetes workloads; write automation scripts (Bash, Python, PowerShell); integrate observability platforms; collaborate with teams and support operational SLAs.

As a Senior Android Engineer, you'll develop native Android applications, propose process improvements, collaborate with teams, and ensure high-quality deliverables.

Design, develop, and deploy production-ready AI solutions for insurance, focusing on agentic AI, multi-agent systems, LLMs, RAG pipelines, and computer vision. Research and implement state-of-the-art models, take prototypes through production, collaborate with data scientists and engineers, and contribute to proprietary insurance-focused AI models and scalable international AI products.

Design, develop, and deploy production-ready AI solutions for insurance, focusing on agentic AI, multi-agent systems, LLMs, RAG pipelines, and computer vision. Research state-of-the-art methods, build scalable products and proprietary models, and take projects from architecture and PoC through production while collaborating with data science and engineering teams.

Lead positioning, messaging, and sales enablement for B2B solutions and services. Translate technical content into buyer-focused materials, run competitive research, build campaign assets, and support sales with briefs, decks, and playbooks. Collaborate across marketing, sales, design, and engineering to drive evidence-based campaigns and buyer intelligence for enterprise technology services.