Top Tech Jobs & Startup Jobs in New Orleans, LA

Perform deep static and dynamic analysis of Android apps and SDKs to find security risks and malicious behavior. Use reverse-engineering tools to decompile, disassemble, debug, create detection signatures, gather threat intelligence, and collaborate with researchers and developers to improve app security.

Lead discovery, define roadmap, prototype and validate new family‑focused product features, collaborate with engineering/design/marketing, set KPIs, analyze data, and drive product launches and adoption to scale Skylight Calendar.

As a Software & Data Engineer, you will design data pipelines, deploy AI tools, build data warehouses, and integrate systems for clients, ensuring data quality and performance.

Lead product strategy and roadmap for fan engagement across sports media properties. Drive fan identity, personalization, registration, experimentation, and AI-enabled experiences. Partner cross-functionally to launch and optimize community, gamification, and monetization features, define KPIs, evaluate vendors, and scale products to grow engagement and audience value.

As a Strategic People Partner, you will work with senior leaders to enhance leadership capabilities, manage organizational design, and drive employee relations while optimizing people processes in a remote setting.

Design, develop, and deploy AI-driven healthcare solutions, conduct evaluations, mentor junior engineers, and ensure compliance with healthcare standards.

The Solutions Engineer at SpryPoint is responsible for leading the technical sales process, creating tailored demos, and serving as a trusted advisor to utilities considering SaaS solutions for operational modernization.

This role involves developing strategic partnerships in the AI and agentic commerce space, conducting market analysis, leading revenue growth, and collaborating with cross-functional teams to enhance the company's offerings and market presence.

Design and maintain enterprise information architecture, including domain models, taxonomies, ontologies, and metadata to make data AI-ready. Operationalize models via enterprise data catalog (Alation), resolve semantic conflicts, define metadata standards, and partner with analytics and AI teams to enable governed, explainable AI and downstream BI/LLM use cases.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.