Lead and develop a team of Mid-Market Customer Success Managers and Implementation Specialists to drive onboarding, adoption, and retention. Accountable for key metrics including GRR and NRR while improving operational workflows and customer lifecycle experiences.
CompanyCam
9 Remote Job Openings at CompanyCam
Own the strategy, systems, and analytics that power demand generation and pipeline growth. Manage the marketing technology ecosystem and partner with Sales, RevOps, and Finance to align execution with revenue goals.
Design and maintain scalable event-driven data pipelines from Ruby on Rails backend systems to Snowflake. Serve as the technical bridge between engineering and analytics teams to ensure reliable real-time data flows.
The analyst will manage the Vanta Professional instance and drive alignment across NIST CSF 2.0 and SOC 2 Type II frameworks. They will also handle risk reporting, vendor security assessments, and act as a liaison between technical teams and leadership.
Lead and develop a team of Product Data Analysts and Data Scientists to transform the function into a scalable system for product intelligence. Partner with Product and Engineering leaders to drive data-informed strategies and improve experimentation rigor.
Build and maintain AWS infrastructure solutions to ensure the reliability, security, and scalability of web and mobile applications. Collaborate with product engineers to deploy new features and optimize database and search infrastructure.
Maintain and upgrade existing integrations while building new features and enhancements based on customer data. The role involves triaging support requests and debugging issues using monitoring tools and AI assistance.
Design, build, and scale the systems and automations that power the go-to-market organization, focusing on Salesforce and the broader GTM tech stack. Partner with stakeholders to translate business requirements into technical solutions that drive operational efficiency across Sales, Marketing, and Customer Success.
You will design, train, and deploy computer vision models while owning the full machine learning pipeline from data preprocessing to production. You will also collaborate with cross-functional teams to integrate these solutions into the platform and establish observability benchmarks.