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Logz.io is seeking a Solution Engineer to serve as the technical bridge between the company and strategic enterprise customers. You will own all technical touchpoints for key accounts, driving deep-tech onboarding, architectural workshops, and complex infrastructure problem-solving.
Key Responsibilities:
• Architectural Ownership: Manage technical relationships with strategic customers, conducting advanced enablement sessions, architectural workshops, and resolving complex technical issues.
• Value Optimization: Analyze customer data pipelines and cloud infrastructures to develop technical strategies that maximize observability ROI and platform adoption.
• Technical Stakeholder Management: Build peer relationships with DevOps, SRE, and Engineering leaders at customer organizations. Diagnose complex infrastructure challenges and design production-ready solutions.
• POCs & Technical Validation: Partner with Sales to execute technical proof-of-concepts, validate use cases, demonstrate product capabilities, and remove technical blockers to support deal progression and expansion.
• Technical Expansion: Identify upsell and cross-sell opportunities by uncovering new use cases, increased usage potential, and needs for additional modules including agentic AI solutions.
• Advanced Deployment: Ensure frictionless onboarding for enterprise customers, managing complex log/metric/trace routing and agentic AI deployments at scale.
• Adoption Analytics: Monitor technical adoption patterns and infrastructure usage, proactively identifying and debugging systemic bottlenecks, scaling friction, or implementation barriers.
Day-to-Day Activities:
• Support the full customer lifecycle: technical discovery, solution demonstrations, POCs, onboarding, integration, enablement, and AI use case adoption.
• Design and implement automated, scalable onboarding pipelines and configuration workflows for enterprise environments.
• Conduct deep-dive engineering reviews at critical milestones (post-onboarding, scaling peaks, architecture reviews) to ensure optimal system performance.
• Perform telemetry and infrastructure audits, analyzing data volume, pipeline health, and behavioral patterns to catch underperforming configurations before they impact customers.
• Gather technical feedback and feature requests from customer engineering teams to advocate internally with product and R&D.
• Engineer custom product and feature recommendations based on customer data ingestion and infrastructure usage patterns, with focus on agentic workflows.
Requirements:
• 3+ years of experience as a Solution Engineer, Technical Account Manager (TAM), or DevOps/SRE engineer with strong customer-facing capabilities.
• Extensive hands-on technical experience in SaaS infrastructure, cloud architectures (AWS/Azure/GCP), observability solutions (log management, APM, tracing, OpenTelemetry), and agentic solutions.
• Expert customer-facing engineering skills: ability to train engineering teams, whiteboard complex cloud topologies, resolve technical roadblocks, and translate deep-tech architectures into clear business value.
• Exceptional written and verbal professional communication skills in English.
• BA/BSc degree in Computer Science, Software Engineering, or equivalent deep technical experience.
• Driven, self-starter mindset with passion for problem-solving and desire to push boundaries in AI and observability technology.
