Top Tech Jobs & Startup Jobs

Develops end-to-end cloud applications using C#/.NET, ASP.NET Core, Next.js, and TypeScript on Azure. Builds secure APIs, enterprise integrations, containerized deployments, tests, CI/CD workflows, and production support processes. Integrates Azure OpenAI and AI services to create agents, tool-calling workflows, MCP integrations, and RAG solutions with search, embeddings, grounding, and citations. Collaborates with architects, developers, QA, and program teams while evaluating AI quality, reliability, latency, and cost.

Supports and enhances the organization’s SharePoint Online intranet and Microsoft 365 digital workplace. Responsibilities include SharePoint administration, content management, user support, troubleshooting, governance, permissions reviews, quality assurance, training, documentation, stakeholder engagement, and adoption initiatives. The specialist also supports migrations, identifies usability improvements, and stays current with Power Platform and AI-enabled Microsoft technologies.

Design, build, and optimize enterprise Power BI reports, dashboards, semantic models, and DAX measures. Manage Power BI Service workspaces, security, deployment pipelines, refreshes, and gateways. Integrate data from ERP, manufacturing, supply chain, finance, warehouses, and lakes while improving performance through model optimization, aggregations, and incremental refresh. Partner with stakeholders and data engineers to establish governance, translate requirements, and enable adoption through documentation and training.

Leads enterprise-wide customer experience transformation programs spanning GenAI self-service, service delivery, predictive engagement, and onboarding. Aligns Product, Engineering, Support, Content, Data, and UX teams; translates customer insights into prioritized requirements; establishes accountability and execution structure; and tracks KPIs such as satisfaction, retention, effort, service quality, and efficiency. Communicates progress and outcomes to senior executives while driving measurable improvements in complex, ambiguous SaaS environments.

Design, build, test, and maintain scalable data models and pipelines using Python, PySpark, and Apache Airflow. Administer and optimize Snowflake environments, virtual warehouses, and MLOps workflows. Enforce data governance, quality, and compliance standards while supporting self-service data ownership. Create technical designs, conduct code reviews, mentor engineers, support production services, and collaborate with architecture teams.

Leads enterprise integration and automation programs using N8N and related workflow platforms. Manages program plans, milestones, dependencies, releases, risks, monitoring, governance, and executive reporting. Coordinates engineering, product, and business teams while overseeing workflow design, testing, deployment, error handling, and scalability. Applies AI tools to reporting, risk analysis, dashboards, and automation opportunities, with responsibility for security and governance.

Perform manual functional, regression, integration, UAT, and end-to-end testing for enterprise Salesforce CPQ and Quote-to-Cash implementations. Responsibilities include validating product configurations, pricing, discounting, approvals, quotes, contracts, amendments, renewals, MDQ, billing handoffs, and ERP or external integrations. Create test plans, scenarios, and data; manage defects; support releases; and collaborate with business and technical stakeholders.

Analyze and document Lead-to-Cash and Quote-to-Cash workflows, identify automation opportunities, and design integrations across CRM, CPQ, billing, ERP, and contract systems. Translate requirements into functional specifications, process diagrams, user stories, and acceptance criteria. Collaborate with revenue, finance, legal, sales operations, and automation engineering teams. Support backlog planning, UAT, governance, audit validation, and data integrity across revenue systems.

Design, develop, and operate enterprise Boomi AtomSphere integrations connecting Pigment with ERP, financial, analytics, and other business systems. Build API- and file-based processes, transformations, validations, monitoring, error handling, and data synchronization. Support FP&A planning workflows, integration architecture, governance, documentation, UAT, production support, and compliance requirements while collaborating with Finance, Revenue Operations, Data, and IT teams.

Translate finance and legal business processes into integration requirements, workflows, APIs, data mappings, user stories, and acceptance criteria. Identify automation and AI opportunities, document current and future-state processes, support testing, and ensure governance, compliance, traceability, and stakeholder alignment across business and engineering teams.