Top Tech Jobs & Startup Jobs

Responsible for designing and optimizing detection capabilities across cloud-native security, leveraging AI/ML for threat identification, and automating detection processes.

Lead the design, development, and implementation of AI security products. Collaborate across teams, drive engineering processes, and maintain existing services. Influence product direction and act as a technical expert.

The Principal Software Engineer will design, implement, and lead AI security product development, focusing on scalable software solutions across cloud platforms and driving engineering best practices.

Define and drive reliability for Saviynt's SaaS platform by designing, building, and operating scalable, reusable platform services. Lead Kubernetes platform engineering, multi-region cloud architectures, event-driven systems, CI/CD pipelines, observability, service mesh, and shared relational data services. Provide tooling, APIs, on-call support, and cross-team guidance.

Lead design, build, and deploy production-grade AI/ML systems to automate customer support workflows (RAG, LLMs, conversational agents). Own full project lifecycle, MLOps, scalable APIs/microservices, and cross-functional delivery to improve customer experience and operational efficiency.

As a SOC Analyst II, you will investigate and validate security alerts, automate responses, and monitor cloud environments while collaborating with a 24/7 team.

The Senior Principal Engineer will lead a team in building scalable SaaS platforms, mentor engineers, and collaborate across teams to enhance product quality and performance.

The Sr. Director, Business Development will lead complex OEM partnerships and strategic pursuits, managing multi-million dollar commercial agreements, negotiations, and joint business strategies with top-tier partners.

The Senior Customer Success Manager will oversee customer loyalty and adoption for SMB accounts, managing 35-38 accounts with a focus on driving value-based outcomes, retention, and expansion.

Manage global customer support for a large-scale SaaS identity platform: build triage and recovery playbooks, own automation and availability, define and meet SLA KPIs, implement monitoring and alerting, collaborate with product/engineering, and drive regional support performance and customer relationships.