Top Tech Jobs & Startup Jobs

Own and grow channel partnerships across the region: recruit, onboard, enable, and drive partner-sourced pipeline and events. Collaborate with Sales, Marketing, and Product to forecast opportunities, report partner ROI, and build repeatable partner enablement models to scale revenue and brand presence.

Lead and build the RevOps function end-to-end: forecasting, CRM and quoting architecture, deal desk, territory and quota design, GTM reporting, and AI-native workflow automation. Advise CRO/CEO, operationalize consumption pricing, fix sales inefficiencies, and grow a small team to scale GTM across the US and Europe.

Build and maintain backend services for Customer Engineering: triage and fix customer-reported bugs, deliver small feature requests, create automation and tooling to reduce manual work, debug microservices and event-driven pipelines, integrate identity providers and data security platforms, instrument and monitor systems, and partner with customers and stakeholders to prevent recurring issues.

As a Data Scientist, you will create and enhance detection models for secure Generative AI adoption, collaborate with teams on data curation, and drive continuous model improvement based on customer feedback.

Design, build, and automate scalable, highly available cloud infrastructure and CI/CD pipelines. Standardize IaC, manage GitLab CI/CD and Runners, container deployments (Docker/EC2/ECS), monitoring/logging, troubleshoot infra and web apps, and evangelize shift-left security and DevOps best practices.

The Solutions Architect role involves overseeing pre-sale technical activities, engaging with customers, translating needs into feedback, and contributing to technical assets while managing multiple engagements.

Lead the creation of Harmonic's first US engineering site: hire the initial team, be hands-on early, establish cross-site collaboration with the UK, build operational rhythms (planning, on-call, incident response), own US hiring and interview processes, and scale the organization toward customer engineering, platform, and product delivery.

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.