Jobs at SaaS Talent

Own the full new-business sales cycle for mid-market and enterprise hospitality and franchise accounts, from prospecting through closing. Generate pipeline through outbound outreach, referrals, and industry events; conduct discovery and tailored demonstrations; develop business cases; negotiate and close SaaS deals; and coordinate with Marketing, the CEO, and Customer Success. The role requires selling $20K+ ACV deals, working hybrid from the Wayne, Pennsylvania area, and attending 6–8 domestic or international conferences annually.

Own full-stack engineering for a private-beta community platform, covering architecture, database design, development, testing, deployment, monitoring, security, and production support. Lead technical delivery, coordinate priorities across departments, review external engineering work, and support integrations. Use AI coding agents responsibly while maintaining code quality and technical judgment. Contribute to scalable backend architecture, LLM integrations, RAG, and AI agents.

Serves as a primary customer contact through phone, email, SMS, HubSpot, webinars, and events. Responsibilities include onboarding clients, proactive outbound outreach, account maintenance, payment and collections follow-up, event support, issue resolution, record management, and process improvement. The role requires empathetic communication, confident handling of sensitive financial conversations, group presentation skills, quarterly travel, and occasional evening or weekend availability.

Leads complex, revenue-generating marketing and business projects from objectives through completion. Responsibilities include gathering requirements, defining scope, building Asana project plans, coordinating cross-functional teams, managing launches, webinars, sales funnels, email campaigns, digital products, and large live events. The role identifies dependencies, risks, resource gaps, and critical paths; validates deliverables; holds stakeholders accountable; and improves project-management processes while leading a Project Coordinator.

Own and scale the machine learning platform from training and experimentation through deployment, monitoring, and production support. Build backend services, APIs, data pipelines, model-serving processes, recovery workflows, and reproducible ML infrastructure. Manage multiple production models, external data sources, real-time inference systems, reliability, and operating costs while collaborating closely with ML engineers and contributing to architecture decisions.

Design, build, and maintain Python backend services processing real-time outage data for enterprise customers. Develop APIs and message-queue integrations, analyze data, troubleshoot production issues, improve operational systems, and participate in technical design, testing, documentation, and code reviews. Own features from design through production in a startup environment focused on distributed systems, scalability, reliability, and critical infrastructure operations.

Serves as the primary contact for clients through phone, email, SMS, HubSpot, webinars, and events. Responsibilities include onboarding, proactive outreach, customer support, account maintenance, payment and collections follow-up, event assistance, and relationship building. The role requires presenting to groups, resolving issues, maintaining accurate CRM records, improving customer processes, and traveling domestically and internationally approximately quarterly, including occasional evenings and weekends.