Founding Technical Customer Success Manager at Artemis

<h2>Job Overview</h2><p style="min-height:1.5em">As Artemis's founding Technical Customer Success Manager, you'll own the post-sale lifecycle for a fast-growing book of enterprise security customers, onboarding → adoption → value realization → expansion → renewal. You'll take the handoff at the moment a proof-of-value converts and make sure the value we proved in weeks compounds for years.</p><p style="min-height:1.5em">This is a hands-on technical role. Our customers are SOC analysts, detection engineers, and CISOs, and our product is an AI-native security platform, you'll spend meaningful time in the portal, in the data, and in AI-driven workflows, not only in QBR decks. Think of it as the post-sales mirror of our Sales Engineering motion: technical, hands-on, and accountable for quantified customer value.</p><p style="min-height:1.5em"></p><h2>Responsibilities</h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Own the post-sale lifecycle for every closed-won customer across onboarding, adoption, value realization, expansion, and renewal, as the customer's single accountable owner inside Artemis</p></li><li><p style="min-height:1.5em">Run structured onboarding from contract signature to fully live: set a joint success plan with milestones, drive the remaining integrations and data connections, configure alerting and escalation paths, and treat time-to-value as a core metric</p></li><li><p style="min-height:1.5em">Own the customer health system: run recurring reviews across product engagement, outcome quality, integration health, AI adoption, and open risks, and act on regressions before the customer feels them</p></li><li><p style="min-height:1.5em">Deliver QBRs with quantified impact (dollars saved, coverage gained, gaps closed, analyst time returned), grounded in real usage data and outcome reporting, not anecdotes</p></li><li><p style="min-height:1.5em">Run a clear asks-and-risks process: convert customer requests into tracked internal work, route to the right owner, chase SLAs, and close the loop with the customer</p></li><li><p style="min-height:1.5em">Drive adoption of AI-native workflows across investigation, detection, and hunting, teaching analysts, assigning homework, and turning daily users into internal champions</p></li><li><p style="min-height:1.5em">Triage issues live on customer calls (integration failures, data gaps, product errors) and pull in engineering with full context when needed</p></li><li><p style="min-height:1.5em">Surface expansion signals (new data sources, new teams, growing usage) and partner with Account Executives on renewal and expansion motions</p></li><li><p style="min-height:1.5em">Serve as voice of customer, feeding structured field signal into the product roadmap and quality feedback into the teams that build and tune detections</p></li><li><p style="min-height:1.5em">Build the CS playbook (onboarding guides, health scorecards, QBR templates, renewal runbooks) that future CS hires ramp on</p>