Jobs at Harmonic Security

Own the full sales cycle across the United Kingdom, from prospecting and qualification through demonstrations, negotiation, and closing. Build territory pipeline, develop account strategies, conduct outbound prospecting, convert inbound leads, and manage complex enterprise sales involving CIOs and CISOs. Collaborate with Marketing, Product, and Customer Success, represent the company at customer meetings and industry events, and help establish repeatable sales processes and best practices.

Own the AI Surfaces product area end to end, setting product direction, prioritizing outcomes, defining success, and adapting strategy in a rapidly evolving market. Engage customers and prospects, including CISOs and CIOs, through sales calls and proof-of-value engagements. Collaborate with engineering, design, sales, and customer success while raising product management standards. Hands-on work includes exploring APIs, analyzing data, and testing solutions before committing development resources.

Owns Harmonic’s APIs, webhooks, MCP servers, and integrations as products. Responsibilities include prioritizing integrations, defining product strategy, collaborating with engineering, partnerships, sales, customers, and technical executives, evaluating API and authentication designs, testing integration flows, and producing clear technical specifications. The role also requires tracking AI-agent ecosystem developments and shaping the company’s integration strategy in a rapidly changing startup environment.

Build and maintain automated testing infrastructure across UI, browser extensions, endpoint agents, and backend services. Design cross-platform test environments, expand load testing, investigate bugs, integrate tests into GitLab CI/CD pipelines, establish quality gates, improve test reliability, and track coverage. Collaborate with engineers to resolve defects and shape the QA roadmap across Windows, macOS, and Linux.

Build production machine-learning features that transform raw AI usage data into customer-facing insights. Own classification, clustering, data pipelines, model deployment, evaluation frameworks, ground-truth datasets, error analysis, uncertainty quantification, and production reliability. Collaborate with customers, product, engineering, and security teams to shape insight experiences. Work primarily in Python across a polyglot Java, Spring Boot, and TypeScript stack deployed on AWS.

Own and evolve the platform security architecture (authN/authZ, secrets, encryption, multi-tenant isolation). Write production code to harden security patterns, run threat models and architecture reviews, set standards, and partner with Security and Platform teams to ship secure platform improvements.

Design, build, and own backend microservices and integrations for an AI-focused cybersecurity platform. Implement event-driven processing, ingest high-volume endpoint events, model and persist domain data, expose APIs and webhooks, and support analytics, reporting, and customer-facing visibility features.