{"id":3067440,"url":"https://alion.io/job/logz-io-solution-engineer","title":"Solution Engineer","company":{"id":49225,"name":"Logz.io","domain":"logz.io","url":"https://alion.io/company/logz-io","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":217000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":441},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"OpenTelemetry","optional":false}],"status":"live","first_seen_at":"2026-10-22T07:19:33Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-25T08:57:06Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"At Logz.io, we’re redefining observability for the age of AI. Trusted by 1,000+ customers worldwide, our platform helps engineering teams monitor, troubleshoot, and secure complex cloud environments. Now, with OrionIQ, we’re taking the next step toward AI-powered observability that doesn’t just detect problems, but helps teams understand and resolve them.\nThe 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.\nIn 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.\nLocation: Hybrid (3 days from the office)\n\nWorkweek: Monday-Friday\n\nResponsibilities\nArchitectural Ownership: Manage all technical touchpoints for strategic customers, driving deep-tech onboarding, advanced enablement, architectural workshops, and complex issue resolution.\n\nValue Optimization: Analyze customer data pipelines and infrastructures to develop and execute technical strategies that maximize observability value and ROI.\n\nTechnical Stakeholder Management: Build deep technical peer relationships with DevOps, SRE, and Engineering leaders, diagnosing complex infrastructure challenges and designing production-ready solutions.\n\nPOCs & 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.\n\nTechnical 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.\n\nAdvanced Deployment: Ensure a frictionless, deeply integrated onboarding process for enterprise customers, managing complex log/metric/trace routing and agentic AI deployments.\n\nAdoption Analytics: Monitor deep-tech adoption patterns and infrastructure usage, proactively debugging systemic bottlenecks, scaling friction, or implementation barriers.\n\nWhat Your Day-to-Day Will Look Like\nManage customer technology interactions: Support technical discovery, solution demonstrations, POCs, onboarding, integration, enablement, implementation assistance, and AI use case adoption.\n\nAutomating Integration Workflows: Design and implement automated, scalable onboarding pipelines and configuration workflows to guide enterprise environments through seamless setup.\n\nProactive 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.\n\nTelemetry & Infrastructure Audits: Analyze customer data volume, telemetry pipeline health, and behavioral patterns to catch underperforming configurations or indexing issues before they impact the customer.\n\nFeedback Integration: Gather technical feedback, feature gaps, and product limitations from engineering stakeholders to advocate for and collaborate with internal product and R&D teams.\n\nTechnical 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.\n\nRequirements\nExperience: 3+ years of experience as a solution engineer, technical account manager (TAM), or DevOps/SRE engineer with strong customer-facing capabilities.\n\nDomain 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.\n\nTechnical 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.\n\nLanguage Skills: Exceptional written and verbal professional communication skills in English.\n\nMindset: Driven, self-starter technical professional with a passion for problem-solving and a desire to constantly push boundaries in AI and observability technology.\n\nEducation: 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 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