Top Tech Jobs & Startup Jobs in New Orleans, LA

Manage concurrent enterprise ServiceTitan implementation projects from initiation through completion. Lead discovery and requirements sessions, configure client environments, conduct training, create workflow resources, monitor risks, and coordinate with delivery, data, training, product, and leadership teams. Ensure implementations meet timelines, ServiceTitan best practices, and long-term client success. Requires 20–30% client-site travel.

Lead and scale a 23-person global B2B SaaS support organization through three managers. Own support operations, staffing capacity, SLAs, Zendesk administration and reporting, metrics, escalations, coaching, and customer experience. Manage Swift CX and AI-assisted triage, partner with Product and Engineering on systemic issues and tooling, and report performance and resourcing needs to executive leadership. Engage directly with customers during high-visibility escalations.

Design and scale high-throughput, low-latency backend systems powering Fetch’s advertising platform. Own architecture across ad selection, targeting, delivery, attribution, and measurement services; improve reliability, observability, performance, and resilience; lead cross-team technical initiatives and migrations; establish engineering standards; resolve complex distributed-systems problems; and mentor senior engineers across Ads, Platform, Data, ML, and Product teams.

Designs, deploys, maintains, and supports enterprise LAN, WAN, WLAN, routing, switching, wireless, firewall, and Azure network infrastructure for MSP clients. Troubleshoots complex Layer 2 and Layer 3 issues, develops documentation and configuration standards, supports capacity planning and risk assessments, and collaborates across teams on client projects. Requires substantial travel to customer sites, occasional on-call availability, and adherence to security and background-check requirements.

Lead UX and UI for a complex B2B web and mobile platform: create high-fidelity designs and prototypes, run user research and testing, maintain the design system and visual identity, collaborate with engineers and stakeholders, and recommend product and AI-driven improvements to enhance the auction experience.

Coordinates recruiting, onboarding, offboarding, employee records, HR administration, compliance tracking, leave administration, reporting, training, performance management, and engagement initiatives. Serves as a first point of contact for HR questions while supporting the HR Business Partner and maintaining confidential information. The role is fully remote and requires strong organization, communication, analytical, and time-management skills.

Generate net-new business through lead-generation and calling campaigns, follow up with marketing leads, research prospects, document automation requirements, schedule product demos, and maintain accurate CRM records. The role supports customer acquisition for enterprise automation software and offers base salary plus commission in a fully remote environment.

Leads the Bioinformatics Software Engineering team and owns engineering strategy, architecture, delivery, modernization, and production support for clinical genomics platforms. Oversees software engineers, bioinformatics workflows, data integration, automation, quality systems, release governance, reliability, and regulatory compliance. Partners with clinical, laboratory, scientific, quality, product, operations, and executive stakeholders to convert research methods into validated production workflows. Guides AI-enabled engineering initiatives while ensuring privacy, traceability, clinical-grade quality, and operational resilience.

Manage a high-volume sales pipeline, deliver virtual presentations and product demonstrations, educate small business owners on accounting and tax services, and build client relationships through consultative selling and follow-up. Maintain accurate CRM records, meet or exceed sales targets, and use technology effectively in a fully remote environment.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.