About AnacondaBe at the center of AIAnaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more athttps://www.anaconda.com.
Summary:We're establishing our first dedicated APAC operations presence to support a strategic enterprise customer deploying our Enkrypt AI guardrails platform. You'll own the day-to-day technical relationship with this customer's cyber security and AI infrastructure teams, ensuring their production deployment runs smoothly and meets contracted service levels. This role is the foundation for building out broader APAC coverage as our regional footprint grows.What You'll Do:Own guardrails policy tuning, incident triage, and root-cause analysis for a security-sensitive AI deployment in a regulated industryServe as the primary technical point of contact for the customer's cyber security and AI infrastructure teams, building trusted working relationshipsMonitor performance dashboards, triage alerts, and respond to on-call escalations within contract SLAsLead weekly customer check-in calls and coordinate periodic red-team engagements to validate guardrails effectivenessMaintain test suites and observability infrastructure to catch issues before they impact productionDocument operational patterns, incident learnings, and troubleshooting playbooks to build a knowledge base for future APAC team growthCollaborate across timezones with Anaconda engineering and product teams to surface field signals and drive platform improvementsYour Impact Will Be Measured Through:Meeting contracted SLA targets for on-call response times and incident resolutionMaintaining a healthy guardrails deployment with minimal security incidents and policy misconfigurationsQuality of root-cause analyses and effectiveness of preventive measures implementedStrength of working relationship with customer teams, measured through customer feedback and engagementCoverage and effectiveness of red-team test suites in identifying guardrails gapsWhat You Need:5+ years experience with containerized deployments using Docker and Kubernetes in production environmentsHands-on experience with cloud infrastructure, particularly AWS, including observability and alerting toolingProven track record in incident response, root-cause analysis, and operational support for production systemsDeep expertise in either security operations OR AI/ML systems, with demonstrated interest and working knowledge of the other domainExperience tuning policies or configurations for AI systems, including understanding of LLM integrations and guardrails conceptsDirect customer-facing experience managing technical relationships and communicating about complex incidentsComfortable working autonomously as a sole regional owner with high judgment and minimal local supportYou embody our values of Clarity, Care and CandorYou care deeply about fostering an environment where people of all backgrounds and experiences can flourishWhat Will Make You Stand Out:You have experience in both security operations and AI/ML, able to bridge these domains naturally when evaluating guardrails effectivenessYou've supported customers in regulated or high-sensitivity industries like mining, critical infrastructure, or OT-adjacent environmentsYou've participated in or led red-team or adversarial testing exercises specifically targeting AI systemsYou're energized by building something new rather than inheriting established processes, and you document as you go so others can followYou've worked in fast-paced startup environments where you owned customer outcomes end-to-end with minimal handoffsYou have experience with open-source AI or data science tools and communities, and understand enterprise adoption patternsYou embody our values: 'Curious by Default', 'Build Together', 'Own It', and 'Lead with Guts and Heart', and our behaviors: Clarity, Care and CandorYou care deeply about fostering an environment where people of all backgrounds and experiences can flourishWhy You'll Like Working Here:You'll thrive in a high-performance environment where results are recognized and rewardedYour work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise.You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor.You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth.In addition to base salary, we offer a comprehensive benefits package that includes:Flexible Vacation PolicyMedical, Dental, and Vision InsuranceShort Term and Long Term DisabilityPaid Parental LeaveMonthly Wellness StipendEmployee Assistance Program and Mental Health ResourcesAn Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.By clicking “Submit Application”, you acknowledge you have read ourPrivacy Policyand that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine.Anaconda is an EEO/AA employer M/F/V/D.