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SaaS Application Security , including experience with security principles, role-based security approach, and identity management practices. Hands-on experience securing business applications like Salesforce, Netsuite, Coupa, Workday, Snowflake, and other SaaS and Cloud applications.
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Drive strategy & approach for data lake & supporting integrations architecture in a multi-SAAS environment (i.e., Workday, Dayforce WFM, Docebo, Avature); driving prioritization / sequencing to optimize against investment opportunities and deliver on key business objectives while rapidly maturing our people/workforce data capability.
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Understanding of SaaS, iPaaS and Data platforms like Salesforce, NetSuite, Boomi, Apigee, Snowflake, Azure Data Platform etc. Working experience in few of these technologies e.g., Dell Boomi, Snap Logic, MuleSoft, APIGEE, AWS, Microsoft Azure, SQL/DB, Salesforce, Java/JavaScript, BI/Analytics etc.
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Experience with Marketo, Salesforce, B2B SaaS marketing, data analysis, and process optimization. 3-5 years in product marketing or related experience, global marketing experience, excellent writing skills, passionate about marketing technology and SaaS, data-driven mindset.
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At ChartMogul, we're building the leading Subscription Analytics Platform for growing SaaS businesses. Our core product is a Ruby on Rails backend with Vue.js and TypeScript frontend. We're on AWS using Docker and Kubernetes.
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We are building a brand-new platform, which is intended to become a SaaS-platform and serve all the needs of managing real estate companies and their clients: location & lease management; management of amenities inside and outside an apartment; handling tenants’ requests; processing payments; housekeeping; rate & occupancy management; IoT devices management.
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Knowledge for ETL/ELT tools like Informatica, IBM DataStage, or SaaS ETL tools is a plus. Knowledge for ETL/ELT tools like Informatica, IBM DataStage, or SaaS ETL tools is a plus. Experience working directly with data analytics to bridge business requirements with data engineering.
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20.0m Series C on 2023-12-13 CRM Artificial Intelligence (AI) SaaS Analytics Information Technology. 8-10 years of experience in architecting, developing, and deploying enterprise applications, very strong data management solution experience, certified solution architect in at least one public cloud, hands-on knowledge of designing and implementing data solutions and cloud environments and services, experience with hybrid-cloud and multi-cloud migration projects, experienced in Agile and Scaled Agile Delivery, hands-on Dev-Ops exposure, knowledge of emerging and trending digital technologies.
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