Jobs at AppGate

Leads technical pre-sales engagements for AppGate ZTNA, from discovery through technical win. Designs secure Zero Trust architectures and integrations with identity providers, cloud platforms, EDR, SIEM, and network security systems. Presents to technical and executive audiences, supports RFPs and demonstrations, guides solution handoffs, represents customer needs internally, mentors Sales Engineers, and enables partners. Requires deep networking, identity, encryption, cloud, virtualization, Linux, scripting, and cybersecurity expertise.

Own Federal product marketing for AppGate ZTNA, including positioning, messaging, compliance mapping, RFP/RFI support, launches, campaigns, sales enablement, technical content, partner marketing, competitive analysis, and thought leadership. Translate Zero Trust and cybersecurity requirements into compelling value propositions for government agencies, defense organizations, integrators, and mission stakeholders. Collaborate with engineering, sales, product, demand generation, and customer reference teams while tracking market dynamics and go-to-market performance.

The Channel Account Manager will drive revenue through partner relationships, execute go-to-market strategies, manage partner performance, and conduct regular business reviews while collaborating cross-functionally and ensuring partner success.

Designs and operates platform software integrating AppGate services with Linux systems. Responsibilities include Python development, process and service management, systemd, networking, PostgreSQL automation, observability with OpenTelemetry, secure platform tooling, testing, architecture, production troubleshooting, and technical leadership. The role also involves cross-team initiatives, mentoring, documentation, and improving engineering workflows in a distributed remote environment.

Develop and maintain Appgate SDP client and controller software across C#, React/TypeScript, Electron, and Java REST backend components. Investigate issues across applications, operating systems, and networks; improve automated testing, developer tooling, and build and release workflows; and contribute to technical design, code reviews, and cross-team collaboration.

Build and operate the foundational AI platform: cloud infrastructure, data pipelines, model serving and MLOps, observability, SLOs, and CI/CD. Set technical direction, mentor engineers, automate infrastructure-as-code, and collaborate with data scientists and product teams to ensure reliable, scalable AI systems.

Define and execute the go-to-market and sales strategy for selling to government agencies, driving growth and product adoption in the SLED sector.

Own and operate the unified data platform and data lake powering fraud detection. Design, build, and run low-latency batch and streaming ingestion pipelines, ensure data quality/lineage/observability, support embedding/vector pipelines for generative AI, and manage deployment and CI/CD on Kubernetes while partnering with data science and product teams.