Top Tech Jobs & Startup Jobs

Own deployment and development of the n8n automation platform, build workflow automations and MCP servers, and integrate internal applications with company knowledge systems. Partner with business and engineering teams to identify automation opportunities, translate requirements into solutions, and support enterprise AI tool adoption. Deliver training and enablement programs, onboard users, and measure time savings, efficiency gains, and adoption metrics.

Own the strategy, roadmap, pricing, packaging, and commercial outcomes for procurement software modules. Analyze markets, competitors, customer data, and regulatory requirements; define structured, testable specifications; guide Product Owners and technical teams; oversee validation, launches, monetization, adoption, and feature performance. Mentor product staff and collaborate with Sales, Marketing, customers, and partners. The role requires strong SaaS product management experience, technical fluency, self-serve analytics, AI-tool proficiency, and hybrid work in Atlanta.

Set technical direction for enterprise IT infrastructure across cloud and on-premises environments. Architect secure, scalable solutions; resolve complex issues; build automation using scripting, n8n, and AI-assisted tools; mentor engineers; advise management on infrastructure and security; and maintain documentation and knowledge resources.

Lead end-to-end onboarding for new SaaS customers, serving as the primary client contact. Gather requirements, configure products, manage implementation scope and risks, prepare data, create reports, deliver training, and maintain documentation. Collaborate with sales, product, customer success, and technical support teams to resolve issues and ensure successful adoption. The role also contributes to process improvements and customer change management.

Oversee end-to-end onboarding for new SaaS customers by gathering requirements, configuring products, managing implementation scope and risks, facilitating training, creating documentation, resolving issues, and coordinating with sales, product, customer success, and technical support teams. The role ensures a smooth transition from sales to adoption while improving implementation processes and customer satisfaction.

Lead enterprise software implementations for public sector customers from kickoff through go-live. Responsibilities include facilitating requirements workshops, designing future-state workflows, configuring applications, managing data migration, developing SQL views and stored procedures, designing integrations and ETL processes, coordinating testing and training, managing risks and timelines, and advising customer stakeholders and executives.

Designs and executes manual and automated testing solutions for SaaS products. Responsibilities include building test frameworks with Playwright, Xray, and AI-powered tools; integrating automation into CI/CD pipelines; creating test plans; analyzing results; reporting defects; collaborating with engineering and product teams; participating in Agile ceremonies and code reviews; and improving QA processes.

Designs and executes manual and automated testing solutions for SaaS products. Responsibilities include building test frameworks with Playwright, Xray, Claude, and AI/ML tools; integrating automation into CI/CD pipelines; creating test plans; analyzing results; reporting defects; collaborating with engineering and product teams; and participating in Agile ceremonies, code reviews, and process improvements.

Own complex customer implementations from kickoff through go-live, serving as the primary client contact and managing project health, timelines, risks, budgets, and adoption readiness. Lead client status meetings, coordinate technical, hardware, development, support, and payment operations teams, and facilitate payment processor onboarding. The role also includes requirements gathering, SaaS configuration, integration tracking, kiosk/POS coordination, documentation, and mentoring less experienced teammates.

Own shared AI platform components and build production AI features, including LLM orchestration, prompt workflows, evaluation, observability, and deployment. Develop scalable SaaS backend systems, APIs, data pipelines, search, background processing, and PostgreSQL solutions. Lead CI/CD and AI tooling adoption, establish technical direction, mentor engineers, and translate ambiguous requirements into reliable systems.