CloudLinux is the maker of Imunify360 — a suite of security products protecting millions of websites across the web hosting industry. Our email security line covers both sides of the email problem for hosting providers: an inbound anti-spam engine integrated with hosting control panels, and an outbound SMTP gateway that protects sender reputation and keeps legitimate mail out of the spam folder. We are looking for a Product Owner to run the team that builds and operates this product line. You will lead a small, senior, fully remote squad (currently 7–8 people: Go and Python engineers, a deliverability engineer, an anti-spam engineer, and data analysis/annotation) and be accountable for what the team ships, how reliably it runs, and how the people on it grow. This is a hands-on lead role , not a pure people-management role. Expect roughly 60% leadership (delivery, technical direction, coaching, incident command) and 40% hands-on engineering (design reviews, code review, spikes, production debugging). If you have led engineers in an adjacent technical domain — infrastructure, networking, security, messaging, anti-abuse — and have a track record of getting deep into complex technical territory fast, we will teach you the email side. Outbound gateway: a Halon-based SMTP relay with per-domain warm-up ladders, rate limiting, quarantine, feedback-loop (ARF) processing, and a customer portal — Go services on bare metal. Panel integrations: cPanel/WHM, Plesk, DirectAdmin, plus Debian/Postfix deployments for large hosting partners. Data plane: Elasticsearch, Redis, Grafana dashboards and alerting, corpus and annotation pipelines feeding model training. Delivery: GitLab, Jenkins, Jira, weekly release cadence, blameless post-mortems within 24 hours. Turn the product backlog into a credible,



sequenced engineering plan — estimates, dependencies, and a release train the team actually hits. Own engineering quality gates for model releases: no detection model ships without a measured catch rate and false-positive deltas against the previous model, and a rollback path. Report delivery status and risk to engineering leadership weekly; Own the architecture of the email stack together with the architecture group: review designs, write and approve ADRs, and make build-vs-buy calls with explicit trade-offs. Review code and designs on the critical path — mail flow, rate limiting, quarantine, authentication — and set the bar for tests, observability, and safe rollout. Own production health: Act as incident commander for product-impacting events: coordinate remediation across teams, keep partners informed, and author the post-mortem within 24 hours with named owners and dates. Lead a distributed team across the globe: 1:1s, goal setting, performance reviews, and career development. Set the working agreements that make async work — written decisions, public-by-default communication, durable artifacts over meetings. AI-augmented engineering: We evaluate engineers here partly on how effectively they work with coding agents. As the lead you are expected to model and coach this: prompt specificity, review quality on agent-generated code, tool-boundary awareness, context provision, iteration effectiveness,



error recovery, and end-to-end task completion. The team has already scaffolded its repositories for agent-assisted development; Present a technical roadmap for the email stack agreed with the PO and the architecture group, including a debt-paydown line item and a staffing recommendation. 5+ years as a software engineer, with 2+ years leading a team of engineers (team lead, tech lead with people responsibility, or engineering manager) in a product company. ~ Strong Linux proficiency at a software engineer (user) level; comfortable reading and reviewing production code in a modern high-level programming language (Python, Go, etc.), Track record of shipping and operating a distributed backend service under real production load — you have carried a pager and run incidents. ~ Practical fluency with observability and data tooling to judge quality yourself, not via reports (Grafana, Kibana/Elasticsearch, Redash or equivalents). ~ Demonstrated people leadership: 1:1s, performance conversations, hiring, and growing engineers. ~ Experience working in an agentic / AI-assisted development workflow. ~ Understanding of ML-driven systems, including model quality evaluation, training, and production operations. ~ Professional proficiency in English, written and spoken. ~ Experience with open-source mail stacks — Rspamd, SpamAssassin, Postfix, Exim, Halon — or the web hosting ecosystem (cPanel/WHM and other control panels). Exposure to the ML model lifecycle: training data quality, evaluation metrics, and the trade-offs in tuning detection systems. A focus on professional development Interesting and challenging projects Fully remote work with versátil

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📌 Product Owner (España)
🏢 CloudLinux
📍 España