The Senior Enterprise Account Executive will drive new business growth by identifying and engaging enterprise clients through targeted prospecting and strategic account planning. They will own the full sales cycle, from initial discovery and value articulation to contract negotiation and successful account transition.
You will design, develop, and optimize data models and transformation workflows using Snowflake and dbt while modernizing legacy Oracle-based ETL processes. Additionally, you will contribute to architectural decisions and collaborate directly with client stakeholders to implement scalable data solutions.
Implement and operate multi-region DynamoDB replication, observability, infrastructure as code, and failover and recovery processes, including testing against RTO and RPO targets. Build and validate CDC pipelines for monolith-to-microservices data extractions, coordinate cutovers with application and SRE teams, and produce design documents and runbooks for client handover.
You will build and maintain backend services for food search while performing end-to-end performance tuning and relevance optimization in Elasticsearch. You will also collaborate with cross-functional teams to design search experiments and implement data-driven solutions.
Plan, design, and execute test cases for both AI-powered components and traditional software features. Document defect reports, analyze AI model behavior, and collaborate with global engineering teams to ensure quality standards.
Lead identity-centered security strategy and automate onboarding, offboarding, and real-time security posture enforcement. Manage endpoint and SaaS security, implement Zero Trust access, DLP, and SSO controls, and maintain alignment with SOC 2, HIPAA, and GDPR.
You will define technical direction and reference architectures across cloud, infrastructure, and data platforms while shaping solution designs for enterprise clients. Additionally, you will lead technical discovery, mentor engineering teams, and implement AI-accelerated delivery patterns to ensure scalable and secure production outcomes.
The analyst will own customer data insights, monitor data quality, and perform CRM performance analysis across EMEA. They will bridge the gap between business and technical teams to ensure data accuracy and drive customer engagement through actionable insights.
Design, maintain, and execute automated and manual tests for iOS and Android applications using XCUITest and Espresso. Collaborate with cross-functional teams to integrate tests into CI/CD pipelines and ensure high-quality releases.
Design and develop high-performance, secure software components for enterprise-scale data collection and processing systems. Provide technical leadership through architecture discussions, code reviews, and mentoring of team members.
Design and own the end-to-end architecture for a workforce intelligence platform being built as a Snowflake Native App. Lead the Snowflake Security Review process and manage the platform's cloud-agnostic strategy across Azure, AWS, and GCP.
You will own features end-to-end, from API design and backend service evolution to building user interfaces with React. Additionally, you will participate in agile ceremonies and ensure code quality through unit and end-to-end testing.
You will own the end-to-end technical implementation of video, livestreaming, and player architecture for a high-traffic digital news platform. This includes managing adaptive playback, newsroom clipping tools, advertising integration, and conducting resilience testing for breaking-news events.
You will define and validate application security controls across the full lifecycle of a high-traffic digital news platform. This includes performing threat modeling, reviewing API and integration security, and coordinating vulnerability management efforts.
You will own the end-to-end configuration and development of the CMS and DAM layers for a new digital news platform. This includes designing content models, editorial workflows, and integrating the system with video, search, and distribution services.
The Cloud Engineer will lead the modernization of infrastructure as code by migrating CloudFormation to TypeScript and designing scalable, secure AWS architectures. They will also facilitate resilience testing and gameday exercises to ensure system reliability and performance.
Deliver end-to-end data science projects from exploration and modeling to deployment and performance tracking. Collaborate with stakeholders to translate business opportunities into data-driven solutions and support presales activities.
