AI Customer Engineer, LogicMonitor
$120.2-165.3k
Hybrid observability powered by AI
Open for applications
Hybrid observability powered by AI
1001+ employees
Open for applications
$120.2-165.3k
1001+ employees
Company mission
To expand what’s possible for businesses by advancing their technology.
Role
Who you are
- 2-3 years in a customer-facing technical role: solutions engineering, forward-deployed engineering, AI/ML ops, or applied research + deployment
- Strong solution architecture in design enterprise software systems and AIOps systems
- Hands-on experience with LLMs / generative AI / agent frameworks (prompting, retrieval, chaining, evaluation)
- Proficiency scripting in Python with AI/LLM tooling and system observability/integration workflows (e.g. API debugging with Postman) preferred
- Ability to design evaluation metrics, error analysis, and performance monitoring
- Strong communication: you can explain complex AI ideas to engineers, product folks, or non-technical stakeholders
- Comfortable working in ambiguity, balancing trade offs, managing multiple stakeholders
What the job involves
- We’re looking for an Applied AI Engineer who lives at the intersection of product, AI engineering, and customer success
- You’ll ensure AI capabilities are not just deployed, but adopted, robust, and deeply valuable in customer environments
- You’ll be a technical partner internally and externally, owning the loop from prototyping to metrics to insights to roadmap feedback
- This is not a traditional support or operations role. You’ll build reliable systems, define evaluation signals, influence model and product behavior, and scale AI adoption across customers
- Ensure customer success post-deployment: Drive adoption, measure value realization and provide best practices on maximizing impact of AI capabilities
- Act as technical owner: Serve as the go-to technical advisor for customers, designing custom configurations, integrations, and prompt or agent workflows tailored to their environments
- Prototype and evaluate: Build proofs-of-concept with customers, define evaluation metrics, run experiments, and analyze errors to improve model and feature quality
- Drive product improvements: Translate customer feedback and production learnings into clear, actionable requests for Product and Engineering
- Instrument reliability and observability: Develop health monitors, logging, and drift detection to ensure AI performance remains stable and measurable in production
- Resolve and automate: Investigate production issues across data, APIs, and model behavior; create durable fixes and automation to prevent recurrences
- Enable and educate: Lead workshops, demos, and internal enablement sessions to build confidence and understanding of Edwin AI’s capabilities
- Stay current: Explore and apply emerging techniques in LLMs, generative AI, agent frameworks, and evaluation methods to push the product forward
Our take
As businesses shift from reactive to proactive monitoring, there is a need for tools which empower them to make predictions and solve problems before they start. This is what LogicMonitor supplies, through an observability platform for hybrid environments.
The company's extensive product suite encompasses monitoring of all sorts, including but not limited to networks, virtual machines, databases, containers and SaaS. Each service supplies real-time insights and automated monitoring, complete with agentless architecture.
LogicMonitor is held in high regard by the industry, evidenced by its namechecking in the Visionary quadrant of the Gartner Magic Quadrant 2024. It has also seen significant funding, which will support further development and growth for the business.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Nov 2024
$400m
GROWTH EQUITY VC
Jun 2016
$130m
GROWTH EQUITY VC
Total funding: $543m
Company HQ
Santa Barbara Downtown, Santa Barbara, CA
Leadership
Board Member at Rapid7 and Founding LP at Operator Collective. Was also a Board Member at Poema Global, and CCO, VP and Global Head of Customer Success at Slack.
Salary benchmarks
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