Top Tech Jobs & Startup Jobs

Lead the Dealer Portfolio BI product: coordinate stakeholders, manage backlogs across teams, track and resolve software issues, own change and problem management, design and evaluate UAT, support product integration, and drive delivery outcomes while managing cross-team dependencies and platform-level capabilities.

Designs, builds, and deploys predictive analytics, ML and AI models; assembles and processes large datasets; automates pipelines; mentors peers; enforces ML/AI data governance; presents insights to stakeholders and optimizes model performance for business value.

Design, administer, and optimize enterprise data platforms (including Snowflake) to support analytics and business operations. Lead data architecture, integrations (SAP, PRISM, cloud), governance, security, and platform reliability. Partner with business and IT teams, manage cloud services (Azure, Kubernetes, Key Vault), DevOps workflows, and Linux/Windows environments while driving continuous improvement and onboarding analytics tools.

Lead technical design and delivery of scalable backend microservices using Java and Spring Boot. Provide architectural guidance, mentor engineers, establish secure AI-assisted development workflows, drive cloud-native deployments on AWS/Azure, and ensure software quality through reviews, testing, and operational readiness. Influence cross-functional delivery and build reusable platform patterns that enable production AI/agent integrations and platform scalability.

Lead quality engineering for Cat.com/Prime Online by defining test strategy, driving automation and CI/CD integration, leading functional, integration, regression, and performance testing across web, mobile, API, and enterprise platforms, mentoring engineers, reporting release readiness and risks, and championing AI-assisted testing practices to improve reliability and scalability.

Lead cross-functional BI initiatives by partnering with business leaders to translate priorities into scalable analytics, dashboards, and datasets. Use SQL and Snowflake to analyze large datasets, optimize queries, and collaborate with data engineering on pipelines. Establish governance, data quality, and best practices; develop roadmaps; communicate insights to executives; mentor analysts; and drive process improvement and modernization to enhance BI capabilities.

Design, build, and deliver scalable multi-cloud Salesforce solutions. Own complex workstreams from solution design through development, testing, and deployment. Create integrations using APIs, middleware, and ETL; develop POCs; implement OmniStudio, Apex, LWC, declarative Flows, and CI/CD pipelines; collaborate with architects and lead engineers to ensure quality and scalability.

Administer and own Apptio platform design, configuration, data inputs, integrations, and reporting. Collaborate with clients to resolve application issues, plan enhancements/conversions, track data flows, and provide analytics oversight. Lead system testing, troubleshoot technical problems, and support Technology Business Management processes to optimize IT cost transparency.

Lead and coordinate a team building generative AI solutions (agents, digital assistants). Provide technical direction, manage resources and schedules, enforce engineering best practices, ensure product quality, and mentor team members while delivering enterprise-scale AI systems across cloud and edge environments.

Design, develop, and deploy production-ready data science and ML solutions. Lead large-scale data gathering, modeling, NLP/text-analysis, and model optimization. Define analysis scope, present insights with visualization, and support MLOps, code quality, and deployment on cloud platforms.