Full-Time
Manager – Success Engineers
Technical GTM
Posted on 9/4/2025
Logz.io
51-200 employees
Observability platform for logs, metrics, traces
No salary listed
Boston, MA, USA
Hybrid
Hybrid: in-office 3 days/week (Tue-Thu) at Boston Seaport office.
 Engineering Management (1) |
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- Management experience: 3+ years leading customer-facing technical teams (CSE/TAM/SE/PreSales/Delivery).
- Deep domain expertise: 5+ years in observability and/or infrastructure (logs/metrics/traces, APM, RUM, profiling). Hands-on with ELK/OpenSearch, Prometheus/Grafana, OpenTelemetry, Kubernetes, containers, networking, and cloud (AWS/Azure/GCP) is an advantage.
- Hands-on skills: Able to instrument services, write dashboards/queries, analyze traces, and debug distributed systems. Scripting (e.g., Python/Bash), SQL, and CI/CD familiarity is an advantage.
- Executive communication: Comfortable presenting technical strategy to C-level stakeholders and guiding change management.
- Customer presence & travel: Ability to travel for customers on-sites across the US (as needed).
- Collaboration & Ownership: Strong judgment, bias to action, and excellent written/verbal English.
- Startup mentality: Thrives in ambiguity and constraints; builds MVPs, iterates fast, and rolls up sleeves to unblock the team; pragmatic and resourceful with time and tooling.
- Lead & develop the CSE team: Lead and develop a team of Customer Success Engineers to achieve customer satisfaction and value realization goals.
- Be the technical mentor: Model best-practice troubleshooting, build dashboards, craft queries, instrument services, and reproduce issues. Establish playbooks, patterns, and internal enablement.
- Lead the technical success cycle: discovery, value mapping, tailor made demos, design POC success criteria, guide architecture, and drive POC win rate.
- Own postsale outcomes: Oversee onboarding, integration, adoption, and expansion; define success plans; run QBRs and executive readouts; mitigate risk and drive NRR.
- Customer engagement: Translate technical depth to strategic impact for senior stakeholders; lead roadmap conversations, architecture reviews, and operational maturity workshops.
- Strategic customer engagement: Regular, proactive involvement with our strategic customers such as on-site workshops, executive reviews, and more to build trusted relationships and drive measurable outcomes.
- On-site customer presence: Visit customers across the US for POCs, workshops, training, and executive sessions.
- Cross-functional leadership: Partner with Sales on account strategy; with Product/R&D on feedback and escalations; with Marketing on Webinars and technical content, with Support on incident handling, RCA and post-mortems.
- Operational excellence: Track and improve KPIs (time-to-value, POC win rate, adoption, health score, expansions, NRR); forecast capacity; refine processes and tooling.
- Experience at an observability, security, or infra platform vendor; OpenTelemetry contributor/advocate; Terraform/Helm; data pipelines; SRE/Incident Response practices; working with global teams/time zones.
- Proven experience partnering with highly technical stakeholders (DevOps, SRE, platform and software engineers) across all levels—from individual contributors to senior leaders.
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.