
501 - 1000 employees
Founded 2013
⚡ Productivity
🏢 Enterprise
☁️ SaaS
Productivity • Enterprise • SaaS
Notion is a versatile productivity platform designed to help individuals and teams organize their knowledge, manage projects, and collaborate efficiently. It offers a range of integrated features such as AI assistants, centralized wikis, project management tools, calendars, and integrations with other software. Notion provides customizable templates and collaborative tools for various use cases, including document creation, note-taking, knowledge management, and task management. It caters to a diverse audience, from personal users and students to businesses of all sizes, including startups and enterprises. With a focus on personalized workflows and AI-assisted functionalities, Notion aims to enhance productivity and streamline information management.
🔥 13 hours ago
🇺🇸 United States – Remote
⏰ Full Time
🟠 Senior
🛠️ Implementation Specialist
🦅 H1B Visa Sponsor
👻 Ghost score 12%
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501 - 1000 employees
Founded 2013
⚡ Productivity
🏢 Enterprise
☁️ SaaS
Productivity • Enterprise • SaaS
Notion is a versatile productivity platform designed to help individuals and teams organize their knowledge, manage projects, and collaborate efficiently. It offers a range of integrated features such as AI assistants, centralized wikis, project management tools, calendars, and integrations with other software. Notion provides customizable templates and collaborative tools for various use cases, including document creation, note-taking, knowledge management, and task management. It caters to a diverse audience, from personal users and students to businesses of all sizes, including startups and enterprises. With a focus on personalized workflows and AI-assisted functionalities, Notion aims to enhance productivity and streamline information management.
• Serve as the primary technical advisor for enterprise customer accounts with moderate to high technical complexity • Independently lead customer deployments, migrations, upgrades, health reviews, and performance optimization initiatives • Conduct deep technical reviews of application architecture, query behavior, driver configurations, infrastructure sizing, replication strategy, and operational best practices • Proactively identify technical risks, performance bottlenecks, and adoption opportunities • Lead troubleshooting for complex customer technical issues involving performance degradation, infrastructure constraints, latency anomalies, scaling concerns, cluster instability, and operational surprises • Act as a senior technical escalation resource within the Customer Engineering team • Coordinate with Support, Engineering, Product, Customer Success, and Cloud Operations to drive issue resolution • Maintain technical leadership during customer-facing production incidents • Lead implementation and migration efforts, including production modernization initiatives and migrations from Cassandra, DynamoDB, or related platforms • Drive production readiness planning and operational best practices with customer technical teams • Mentor Customer Engineers through technical coaching, knowledge sharing, and collaborative problem solving • Develop troubleshooting guides, technical playbooks, architectural best practices, and internal enablement materials • Identify repeatable technical challenges and opportunities for process improvement or automation • Partner with Customer Success Managers on account health, adoption planning, technical risk mitigation, and expansion opportunities • Support Sales and Solutions Engineering with technical diligence, customer transitions, and strategic customer engagements • Provide field feedback to Product and Engineering teams • Contribute to technical enablement programs, Scylla University content, customer workshops, documentation, blogs, and technical presentations
• 6+ years of experience in customer-facing technical roles such as Customer Engineering, Solutions Architecture, Professional Services, Site Reliability Engineering, or Distributed Systems Engineering • Strong experience supporting enterprise customers in complex post-sale technical environments • Hands-on expertise with distributed databases including ScyllaDB, Cassandra, or Datastax Enterprise • Strong troubleshooting experience across database performance, infrastructure, distributed systems behavior, and customer production environments • Experience leading customer migrations, upgrades, performance tuning initiatives, or architectural modernization efforts • Strong Linux systems knowledge and hands-on scripting/programming capability in Python, Java, C++, or similar languages • Strong understanding of IP networking, cloud infrastructure, and distributed application architectures • Hands-on experience with AWS, GCP, and/or Azure • Excellent written and verbal communication skills with the ability to work directly with customer engineering teams and technical leadership • Demonstrated ability to mentor peers and contribute to broader technical team effectiveness • Strong autonomous execution, problem solving, and sound judgment in ambiguous situations • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience • Deep operational knowledge of ScyllaDB, Cassandra, or similar distributed data platforms • Experience with DynamoDB, Redis, MongoDB, Kafka, or related large-scale data technologies • Experience with Kubernetes, Docker, and containerized infrastructure • Public cloud certifications (AWS/GCP/Azure) • Experience building technical automation, operational tooling, or observability solutions • Experience supporting SaaS or managed cloud environments • Experience delivering technical workshops, enablement sessions, or customer-facing technical presentations
• Remote work in the USA • Opportunity to work with a global Customer Engineering team • Mentoring and technical leadership opportunities • Contribution to Scylla University content, customer workshops, documentation, blogs, and technical presentations • Exposure to enterprise customers and technically demanding distributed database environments
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