Full-Time
Technical Customer Success Engineer
Posted on 9/17/2025
Logz.io
51-200 employees
Observability platform for logs, metrics, traces
No salary listed
Boston, MA, USA
Hybrid
2–3 days on-site per week in Boston
 Sales & Account Management |
|---|
- Customer-first mindset—required.
- Proven experience in one of the following roles: Technical Account Manager, Delivery/Implementation Engineer, Post-Sales Engineer, or Customer Success Engineer.
- Track record leading end-to-end, customer-facing engagements, including with C-level stakeholders in Global 5000 organizations.
- Excellent communication and presentation skills—able to explain complex concepts in a clear and engaging way.
- Strong domain knowledge in one or more of the following: SaaS and Cloud solutions (AWS, Azure, GCP); Log Management and Analysis; Big Data / Data Management; Business Intelligence or Web Analytics; Operational Intelligence / Threat Analysis / AI.
- BA/BS in Computer Science, Software Engineering, or equivalent experience.
- Self-starter with a positive attitude and willingness to go the extra mile.
- Strong written and verbal English communication skills.
- Availability to work onsite in our Boston office 2–3 times per week.
- Partner closely with our top customers to ensure successful adoption, value realization, and overall satisfaction.
- Serve as the focal point for all technical matters—owning progress and outcomes until customer needs are fulfilled.
- Lead onboarding, training, and coaching sessions to empower customers to succeed with our platform.
- Collaborate with sales on account planning and proactively identify opportunities for expansion.
- Define and manage success criteria, timelines, and milestones for customer projects.
- Advocate for customer needs internally and serve as their technical voice within Logz.io.
Logz.io provides a cloud platform for data analytics and observability. It ingests logs, metrics, and traces from applications and infrastructure by integrating OpenSearch, Prometheus, OpenTelemetry, and Jaeger into a single stack. Users can search logs, build dashboards, and trace requests across services, with features to reduce data volume and costs. The platform integrates with Azure and AWS, and aims to help organizations monitor, troubleshoot, and secure their systems efficiently while controlling data and infrastructure costs.
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$143.3M
Headquarters
Boston, Massachusetts
Founded
2014
Simplify's Take
What believers are saying
- AI Agents save 25,000 engineering hours monthly, equaling 12 full-time SREs.
- Over 200 customers deploy 2,000+ AI Agents across tech, finance, healthcare sectors.
- OrionIQ cuts troubleshooting time 70% and accelerates resolution 3-5x for users.
What critics are saying
- Datadog's native AI integrations cause 50-70% churn in 6-12 months.
- Grafana Cloud's free AI agents trigger 40% ARR decline within 12 months.
- OpenObserve open-source AI commoditizes log analytics, slashing renewals in 18-24 months.
What makes Logz.io unique
- OrionIQ launches April 2026 as agentic platform automating incident resolution.
- Open 360 delivers AI-first dashboards with machine-readable schemas for unified observability.
- Patented telemetry compression enables real-time AI analysis without rip-and-replace.
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Benefits
Hybrid Work Options
Growth & Insights and Company News
6 month growth
↑ 2%1 year growth
↑ 1%2 year growth
↑ 4%Unified Platform Experience: Dashboards are fully integrated with Logz.io's observability platform - built on the same scalable, secure architecture you already know and trust.
Compound Growth at 22.31% Signals a New Phase of Artificial Intelligence for IT Operations Market ExpansionMIDDLETON, Mass., April 14, 2025 /PRNewswire/ -- QKS Group, a premier market intelligence and advisory firm, has released its latest in-depth analysis of the global Artificial Intelligence for IT Operations (AIOps) Market, signalling a strong growth phase ahead. The new reports - 'Market Share: Artificial Intelligence for IT Operations (AIOps), 2024, Worldwide & Regional Report' and 'Market Forecast: Artificial Intelligence for IT Operations (AIOps), 2025-2030, Worldwide & Regional Report' - the market is expected to grow at a compound annual growth rate of 22.31% through 2030. This analysis equips businesses with the strategic intelligence needed to navigate the dynamic AIOps landscape and make informed decisions as the market continues to evolve.The Next Growth Frontier in AIOps PlatformsIn an era where IT environments are becoming increasingly hybrid, complex, and data-driven, AIOps has emerged as a mission-critical solution for modern enterprises aiming to streamline operations, enhance visibility, and ensure service reliability. By leveraging AI and machine learning, AIOps platforms automate root cause analysis, detect anomalies in real time, and proactively resolve incidents before they impact business outcomes. From banking to healthcare, enterprises are turning to AIOps to modernize infrastructure monitoring, reduce MTTR, and support digital transformation goals.According to Karun E S, Senior Analyst at QKS Group, "The AIOps market is rapidly evolving, with vendors focusing on integrating advanced AI and machine learning capabilities to streamline IT operations and improve overall efficiency. Vendors differentiate themselves through features like Generative AI, real-time data processing, predictive analytics, and automation of incident responses."Key Market Insights from QKS Group's ReportGlobal and Regional Market Analysis : A deep dive into worldwide and regional AIOps platform adoption trends, competitive landscapes, and future growth projections.: A deep dive into worldwide and regional AIOps platform adoption trends, competitive landscapes, and future growth projections
Ihash use Gemini is thrilled to announce that Logz.io received a Special Mention for Best Use of AI from the 2024 O11ys Awards, a celebration of innovation and excellence in observability.
Logz has introduced Trace Context support for .
In an effort to bring customers closer to unified, end-to-end observability, Logz.io has added a Trace Quickview feature to its Explore user interface.