---
title: 'Solution Engineer at Logz.io'
canonical: 'https://feeny.ai/job/solution-engineer-logz-io-boston-44pwcmqka0q1'
type: 'job'
last_seen: '2026-10-28'
---

# Solution Engineer at Logz.io

- **Company:** Logz.io
- **Location:** Boston, MA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-22
- **Last confirmed live:** 2026-10-28
- **Apply:** https://jobs.lever.co/logz/35b7e1d1-19a8-4331-83f5-6451aeeaa72b

## Job 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. 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.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.

## About Logz.io

## Company Overview
- **One-liner**: Logz.io is an AI-powered, open-source-based observability platform that unifies logs, metrics, traces, and security data to help cloud-native teams troubleshoot faster and control costs.
- **Entity Type**: Private (Series E, total funding $149.9M)
- **Headquarters**: Boston, Massachusetts, United States (with offices in Tel Aviv, Israel)
- **Founded**: 2014
- **Founders**: Not publicly disclosed (founded by engineers with a passion for open source)

## Core Business
- **Primary industry**: Observability, Security, DevOps
- **Target customers**: B2B – DevOps, SRE, production engineers, and cloud-native teams in enterprises of all sizes
- **Mission**: Deliver simpler, optimized observability and security based on best-of-breed open source, reducing complexity and cost

## Products & Services
- **[Open 360 Platform](https://logz.io/)**: Unified observability platform combining logs, metrics, traces, and security in a single SaaS solution with AI-powered insights.
- **[AI Agent](https://logz.io/)**: AI-agent-first feature that automates root cause analysis, surfaces trends, and answers natural language questions, embedded in the workflow.
- **[Log Management](https://logz.io/)**: Fully managed log analysis based on OpenSearch, with intelligent noise reduction and cost controls.
- **[Infrastructure Monitoring (Metrics)](https://logz.io/)**: Real-time performance tracking based on Prometheus, with anomaly detection.
- **[Distributed Tracing](https://logz.io/)**: End-to-end tracing based on Jaeger for identifying performance bottlenecks in distributed systems.
- **[Cloud SIEM](https://logz.io/)**: Security monitoring and threat detection based on OpenSearch, delivered as a managed SaaS.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Annual Revenue $36.7M (LinkedIn estimate); Total Funding $149.9M across 8 rounds (Series A–E)
- **Notable Investors**: 83North (Series A lead), OpenView (Series C lead), General Catalyst (Series D lead), plus other investors
- **Growth Signals**: 
  - Named in Gartner’s Magic Quadrant for Observability
  - Recognized by AWS for Generative AI Excellence
  - 90 employees (down ~28% YoY, but active job postings up 200% YoY with 6 open roles)
  - 300+ integrations and a 4.7/5 product rating from 171 reviews

## Competitive Advantages
- **Open-source foundation**: Built on best-of-breed open-source tools (OpenSearch, Prometheus, Jaeger) – lower switching costs and community alignment.
- **AI-first architecture**: AI agent fully embedded in the workflow layer, not an add-on, enabling faster MTTR and automated root cause analysis.
- **Unified platform**: Combines logs, metrics, traces, and SIEM in one SaaS, reducing tool sprawl and complexity.
- **Cost intelligence**: Built-in tools to manage telemetry costs and optimize data strategy.

## Strategic Focus
- **AI-driven observability**: Deepen AI/ML capabilities (Open 360 AI) to further automate troubleshooting and reduce mean time to resolution.
- **Cost optimization**: Help customers control exploding observability costs while maintaining full visibility.
- **Platform expansion**: Continue unifying telemetry and security data, and extending integrations for modern cloud-native stacks (Kubernetes, microservices).

## Why Work Here
- **Culture**: Founded by engineers with a strong open-source ethos; deeply collaborative global teams committed to customer success and innovation.
- **Work environment**: Hybrid model in Tel Aviv (some roles listed as “Hybrid — Full-Time Tel Aviv”); offices in Boston, Tel Aviv, and other locations.
- **Growth & learning**: Access to Juno Journey learning platform, mentorship programs, regular promotions, and opportunities to build new skills.
- **Community & giving**: Employee volunteer opportunities, charitable giving initiatives, and support for open-source communities.
- **Perks**: Not explicitly listed, but employee reviews (4.0/5.0) highlight good work-life balance (4.3), culture (4.1), and compensation (4.0).

## Sources
1. [logz.io/careers/](https://logz.io/careers/)
2. [logz.io/about-us/](https://logz.io/about-us/)
3. [logz.io/](https://logz.io/)
4. [linkedin.com/company/logz-io](https://linkedin.com/company/logz-io)

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