Manager, Success Engineers (Technical GTM) at Logz.io

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SaaS, ObservabilityIndustries

Requirements

3+ years leading customer-facing technical teams (CSE/TAM/SE/PreSales/Delivery)
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
Big Advantage: 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

Responsibilities

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

Skills

Observability

Infrastructure

Troubleshooting

Dashboards

Queries

Instrumentation

POCs

Architecture

Onboarding

QBRs

Customer Success Engineering

Logz.io

Data analytics and observability platform

About Logz.io

Logz.io provides a platform for data analytics and observability, allowing businesses to analyze their data quickly and efficiently to enhance troubleshooting. The platform utilizes popular open-source monitoring tools like OpenSearch for log analytics, Prometheus for metric analytics, and OpenTelemetry and Jaeger for trace analytics. It caters to a diverse clientele, from small businesses to large corporations, including tech companies, financial institutions, and healthcare providers, all of whom require real-time data monitoring and analysis. Logz.io operates on a subscription or usage-based pricing model, generating revenue through high-performance log analytics, centralized metrics monitoring, and security event investigation. A key feature of the platform is its ability to filter out unnecessary data, which helps reduce costs and saves engineering time. Additionally, Logz.io is compatible with various cloud services, making it easy to integrate into existing systems.

Boston, MassachusettsHeadquarters

2014Year Founded

$119.9MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Enterprise Software, CybersecurityIndustries

51-200Employees

Risks

Increased competition from new entrants like Finout focusing on cloud cost management.

Complex AI-driven features may require significant user adaptation and training.

Departure of key financial personnel could disrupt financial operations and strategic planning.

Differentiation

Logz.io integrates AI-driven anomaly detection to enhance user experience and service reliability.

The platform combines ELK and Grafana for scalable machine data analytics and observability.

Logz.io offers a unified platform for log, metric, and trace analytics using open-source tools.

Upsides

The enterprise monitoring market is projected to reach $80.26 billion by 2029.

Logz.io's AI Agent simplifies monitoring, potentially reducing operational costs and improving reliability.

O11y GPT upgrade leverages generative AI for advanced insights and operational efficiency.

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