Own enterprise customer accounts end-to-end: onboard and integrate customers, drive product adoption and retention, troubleshoot integrations (APIs, Python), collaborate with engineering/product, and create technical enablement assets.
Description
We're looking for a Customer Success Engineer to own enterprise customer accounts end-to-end, driving adoption, demonstrating product value, and delivering tangible security outcomes. This role blends account management with technical delivery: ensuring smooth deployments, operational readiness, and long-term success. Ideal candidates have a strong technical foundation, experience with identity solutions, infrastructure, and API-driven environments, and thrive in early-stage companies. You'll partner with customers, engineers, and product teams to turn business requirements into successful implementations.
What you’ll do:
- Onboard new customers of Linx in complex enterprise environments by driving seamless integrations and accelerating time to value.
- Build and maintain strong relationships as the main point of contact by delivering tailored deployment and adoption plans aligned with their architecture, goals, and risk posture.
- Drive product adoption and help customers maximize the product value by optimizing adoption KPIs, usage patterns, technical health scores and using them to proactively monitor and drive customer value.
- Manage renewals and reduce churn through proactive engagement.
- Serve as a hands-on technical partner - supporting integrations, applying practical troubleshooting skills (e.g., Python, scripting, API analysis) to resolve issues, and escalating when needed).
- Collaborate closely with Engineering and Product to triage technical blockers, surface customer feedback, and influence roadmap decisions.
- Align with Sales and GTM teams to ensure customer success is tightly integrated with business objectives and strategic outcomes.
- Develop and maintain technical assets including integration guides, configuration templates, and implementation playbooks to enable repeatable success.
What you’ll bring:
- Proven experience in a technical, customer-facing role, ideally at an early-stage startup in IAM or cybersecurity.
- Strong problem-solving skills with a customer-first mentality and a passion for delivering exceptional service and ensuring long-term success.
- Strong understanding of IAM technologies (e.g., Okta, Ping, ForgeRock), protocols (e.g., SAML, OAuth, SCIM), and cloud platforms (SaaS, PaaS, IaaS).
- Proficiency with APIs and scripting tools like Python, with the ability to support integrations, troubleshoot issues, and lead deployments in complex environments.
- Strong ability to define and implement success metrics to measure customer engagement and retention.
- Experience working with cross-functional teams to align customer success efforts with sales, product, and executive leadership.
- A proactive and adaptable approach, with the ability to scale the Customer Success function as Linx grows.
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead post-sales relationships for strategic enterprise customers, ensuring successful deployment, adoption, and value realization of Dynatrace products. Mentor and coach other CSEs, advocate for customers with support and product teams, prepare business reviews, document best practices, and resolve complex technical issues across customer infrastructures.
Top Skills:
AjaxAndroid WebkitAnsibleApacheAWSAzureBmcChefCloud FoundryCSSDynatraceGCPHTMLIisiOSJava ServletsJavaScriptJbossJenkinsKubernetesOpenshiftOpenstackPHPPuppetReactSAPServicenowWeblogicWebsphere
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Serve as a trusted post-sales technical advisor for strategic customers: drive Dynatrace deployment and adoption, troubleshoot complex integrations, provide training and coaching, advocate customer needs to support and product teams, conduct business reviews, and document best practices.
Top Skills:
AjaxAndroid WebkitAnsibleApacheAWSAzureBmcChefCloud FoundryCSSDynatraceGCPHTMLIisiOSJava ServletsJavaScriptJbossJenkinsKubernetesOpenshiftOpenstackPHPPuppetSAPServicenowWeblogicWebsphere
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
Lead the post-sales technical relationship for Rubrik Agent Cloud: onboard, deploy, operationalize, and drive adoption. Lead deployments, validate features with customers, create success plans and enablement materials, train PS/Support, and act as the senior technical escalation and field SME to transition customers from incubation to scale.
Top Skills:
Agentic AiAmazon BedrockAugmentAWSAws Bedrock GuardrailsAzureAzure Ai FoundryClaudeCopilot 365CortexCurserGCPGithub CopilotGoogle GeminiGoogle Model ArmorKongLangchainLitellmMcp GatewaysMcp ServersMicrosoft Agent 365Microsoft Copilot StudioMicrosoft PurviewN8NPortkeyReplitRubrik Agent Cloud
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

