Solution Engineer
Primary stack
Job description
About the Position
Solution Engineer
Boston, MA
Sales – Sales Engineering
Full-Time
Hybrid
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
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: 2+ years of experience as a solution engineer, technical account manager (TAM), or DevOps 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.
If you’re excited to make an impact, take ownership, and help shape the future of AI-powered observability, we’d love to meet you.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
We Offer
- Competitive salary
- Opportunity to work in a cutting-edge AI and observability environment
- Collaborative and entrepreneurial team culture
- Professional development opportunities
About the Company
Logz.io is a leading provider of observability solutions, trusted by over 1,000 customers worldwide. Our platform helps engineering teams monitor, troubleshoot, and secure complex cloud environments. With the integration of OrionIQ, we are advancing towards AI-powered observability that not only detects problems but also helps teams understand and resolve them effectively.
© Logz.io. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Logz.iois a cloud observability platform for modern engineering teams. TheLogz.ioplatform consists of three products—Log Management, Infrastructure Monitoring, and Cloud SIEM — that work together to unify the jobs of monitoring, troubleshooting, and security. We empower engineers to deliver better software by offering the world’s most popular open-source observability tools in a single, easy to use, and powerful tool purpose-built for monitoring distributed cloud environments.AtLogz.io, we’ve adopted a culture that truly inspires our employees to dream, think, and do. We believe curiosity should be explored while keeping a humble disposition. Choosing to win as a team is what drives our momentum. We rely on each other and raise the bar with every new hire or promotion.Logz.iois on the rise, looking to hire employees who seek challenges, act with purpose, and put no end point on success.CLOUD OBSERVABILITY FOR ENGINEERS!The open source you love, at the scale you need.Powered by ELK & GrafanaWE’RE ON A MISSION.Unleashing the incredible value that machine data can bring toorganizations and people around the world.WHEN APPS ARE UP YOUR BUSINESS FLIES.Experience is now a strategic business metric. An app that goes down can take the whole business down with it. A top performing app makes a top performing business. That what makes continuous operations the fuel that powers continuous business growth.FOR ENGINEERS BY ENGINEERS.As engineers who live and breath DevOps, we understand what it takes to keep everything ticking in today’s insanely complicated environments. That’s why we builtLogz.io— to help engineers achieve what they need with the tools they love.We believe in open source and in community. That great things come from sharing knowledge and support whenever and however it’s needed. We’re here to help.WE LOVE OUR CUSTOMERS. ALL 700+ OF THEM.We’re honored to work with teams of all sizes, from hyper-growth startups to large enterprises. We help companies such as Dyn, CNN, and British Airways keep their apps performant and secure and their engineers happy and productive.JOIN OUR MISSION!Our mission is unleashing the incredible value that machine data can bring to the world. Our team is at the forefront of the latest breakthroughs in artificial intelligence and information analysis. We are looking for energetic, fun, and talented people who obsess over customers and aren’t afraid to show it.