Top Tech Jobs & Startup Jobs

Lead global customer support knowledge strategy and governance, manage end-to-end content lifecycle, structure knowledge for AI-driven support, optimize taxonomy and search, partner cross-functionally, and use analytics to measure article performance and deflection.

Lead architecture and delivery of an AI-ready data platform: define enterprise data models, medallion/lakehouse patterns, data governance, observability, secure interoperability, and mentor teams to build production-ready AI data products.

Lead design and delivery of an AI-ready, AWS-native enterprise data platform and lakehouse. Define architecture patterns, modeling standards, ingestion/CDC, observability, governance, and secure interoperability. Mentor teams, contribute hands-on to platform modernization, enable vector/RAG AI workflows, and provide reference implementations to drive consistent, scalable data products and analytics.

Drive enterprise SaaS sales across a territory, managing full sales cycles from prospecting to close. Build and expand long-term accounts via consultative selling, upsell/cross-sell, strategic account plans, and accurate pipeline forecasting. Collaborate cross-functionally, maintain CRM records, deliver product demos, and engage senior stakeholders to grow ARR and market presence.

Senior backend engineer who defines platform architecture and standards, owns key features end-to-end, leads proofs-of-concept, improves reliability and cost, partners with QA/Product/DevOps, mentors engineers, and drives responsible AI-assisted development practices.

Serve as a technical leader for backend engineering: design architecture and prototypes, build and maintain .NET services (monolith and microservices), optimize SQL Server data access, improve CI/CD and observability, troubleshoot production issues, mentor developers, and collaborate across teams to deliver cloud-native SaaS features.

Lead backend architecture and implementation using modern .NET/C#. Shape platform design, mentor developers, drive engineering excellence, improve CI/CD and reliability, and build scalable cloud-native SaaS services integrating SQL Server and AWS.

Partner with strategic account teams to lead evaluations and implementations of Caseware cloud solutions. Design project plans, demo strategies, migration approaches, and toolkits; coordinate cross-functional teams, capture product feedback, and support scalable processes. Attend industry events and provide consultative guidance to ensure customer success throughout evaluation and implementation.

Design and prototype scalable microservice solutions, drive features through the Agile SDLC, improve CI/CD and production reliability, mentor developers, participate in technical design discussions, and integrate AI-assisted development into engineering workflows.

Lead design and operation of Caseware's AI platform: architect LLM-powered systems, retrieval and agent pipelines, governance and evaluation frameworks, ensure reliability and scalability, run POCs, mentor engineers, and collaborate cross-functionally to deliver AI-enabled SaaS capabilities.