3+ years as a solution engineer, technical account manager, or DevOps/SRE engineer with customer-facing skills.
Hands-on experience with SaaS infrastructure and cloud architectures (AWS/Azure/GCP).
Expertise in observability solutions including log management, APM, tracing, and OpenTelemetry.
Strong technical communication skills for training and resolving complex issues.
Exceptional written and verbal communication skills in English.
BA/BSc in Computer Science, Software Engineering, or equivalent experience.
Responsibilities
Manage technical interactions for strategic customers, ensuring deep-tech onboarding and issue resolution.
Analyze customer data pipelines to maximize observability value and ROI.
Build relationships with DevOps, SRE, and Engineering leaders to diagnose infrastructure challenges.
Execute technical POCs and validate customer use cases to support purchasing decisions.
Identify upsell and cross-sell opportunities by uncovering new use cases and customer needs.
Ensure seamless onboarding for enterprise customers, managing complex deployments.
Monitor adoption patterns and proactively address systemic bottlenecks.
Benefits
Hybrid work model (3 days in office).
Collaborative and entrepreneurial team culture.
Opportunity to work with cutting-edge AI and observability technologies.
Full Job Description
The Solution Engineer is a highly technical, core member of the sales and customer success organization, aligning our cutting-edge observability and agentic AI technologies with our enterprise customers' architectures. We are customer-obsessed, highly technical, and foster a team culture that is entrepreneurial, professional, and fun.
In this role, you will partner closely with Sales and Account Managers, bringing deep technical expertise to customer engagements, POCs, and solution validation. You will play a key role in demonstrating product value, driving successful adoption, and identifying technical opportunities for upsell and cross-sell, helping expand customer usage and drive revenue growth.
Location: Hybrid (3 days from the office)
Workweek: Monday-Friday
Responsibilities
Architectural Ownership: Manage all technical touchpoints for strategic customers, driving deep-tech onboarding, advanced enablement, architectural workshops, and complex issue resolution.
Value Optimization: Analyze customer data pipelines and infrastructures to develop and execute technical strategies that maximize observability value and ROI.
Technical Stakeholder Management: Build deep technical peer relationships with DevOps, SRE, and Engineering leaders, diagnosing complex infrastructure challenges and designing production-ready solutions.
POCs & Technical Validation: Partner with Sales to execute technical POCs, validate customer use cases, demonstrate product value, and address technical blockers to support purchasing and expansion decisions.
Technical Expansion & Upsell: Identify technical opportunities for upsell and cross-sell by uncovering new use cases, increased usage potential, and customer needs for additional modules, including agentic AI solutions. Partner with Sales to validate these opportunities and demonstrate their technical value.
Advanced Deployment: Ensure a frictionless, deeply integrated onboarding process for enterprise customers, managing complex log/metric/trace routing and agentic AI deployments.
Adoption Analytics: Monitor deep-tech adoption patterns and infrastructure usage, proactively debugging systemic bottlenecks, scaling friction, or implementation barriers.
What Your Day-to-Day Will Look Like
Manage customer technology interactions: Support technical discovery, solution demonstrations, POCs, onboarding, integration, enablement, implementation assistance, and AI use case adoption.
Automating Integration Workflows: Design and implement automated, scalable onboarding pipelines and configuration workflows to guide enterprise environments through seamless setup.
Proactive Architecture Reviews: Conduct deep-dive engineering check-ins around critical milestones (e.g., post-onboarding, scaling peaks, or architecture reviews) to ensure optimal system performance.
Telemetry & Infrastructure Audits: Analyze customer data volume, telemetry pipeline health, and behavioral patterns to catch underperforming configurations or indexing issues before they impact the customer.
Feedback Integration: Gather technical feedback, feature gaps, and product limitations from engineering stakeholders to advocate for and collaborate with internal product and R&D teams.
Technical Upsell Engineering: Analyze data ingestion and infrastructure usage to engineer custom product/feature recommendations tailored to the customer's specific technical scale, with a focus on agentic workflows.
Requirements
Experience: 3+ years of experience as a solution engineer, technical account manager (TAM), or DevOps/SRE engineer with strong customer-facing capabilities.
Domain Expertise: Extensive hands-on technical experience in SaaS infrastructure, cloud architectures (AWS/Azure/GCP), observability solutions (log management, APM, tracing, and OpenTelemetry), and agentic solutions.
Technical Communication: Strong customer-facing engineering skills-expert at training engineering teams, whiteboarding complex cloud topologies, resolving technical roadblocks, and translating deep-tech architectures into clear business value.
Language Skills: Exceptional written and verbal professional communication skills in English.
Mindset: Driven, self-starter technical professional with a passion for problem-solving and a desire to constantly push boundaries in AI and observability technology.
Education: BA/BSc degree in Computer Science, Software Engineering, or equivalent deep technical experience.f you're excited to make an impact, take ownership, and help shape the future of AI-powered observability, we'd love to meet you.
