Solution Engineer
Logz.io
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- Location
- Boston, MA
- Work style
- Hybrid
- 3 days in office
- Job type
- Full time
- Posted
- Oct 22
- 2 days ago
Career path
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About the company
Logz.io
Computer software · 201 to 500 employees
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.
What you'll do
- 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 you need
- 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.
Key skills
Deep technical expertiseObservabilityAgentic AI technologies
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Read the full posting here
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.
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