National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Associate Solutions Architect

LogicMonitor
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - (Azure/Databricks)

Azure Data Analyst

Associate Actuarial Data Scientist

Associate Director, AI Data Scientist

Associate Director, AI Data Scientist

Associate Director, AI Data Scientist

What You'll Do:

LM Envision, LogicMonitor's leading hybrid observability platform powered by AI, helps modern enterprises gain operational visibility into and predictability across their IT stacks, so they can continue to deliver extraordinary employee and customer experiences. LogicMonitor has a layered approach to intelligence, where AI and Machine Learning is baked into every facet of the LM Envision platform to help IT teams improve efficiency, minimize alert fatigue, proactively predict trends, and maximize enterprise growth and transformation. 

Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the sixth year in a row! 

In the professional services team, our mission is to be the trusted partner to the technical teams and strategic partner to the CIO. We aim to deliver a best-in-class observability platform powered by AI. We are committed to providing meaningful metrics that matter, enabling organizations to achieve unparalleled insights, drive innovation, and optimize performance in the dynamic landscape of information technology. We empower teams to optimize performance, enhance client satisfaction, and achieve an unparalleled view of their infrastructure thus allowing the nirvana of being proactive and resolving incidents before they become problems. We help enable insights into not only the infrastructure but also the business and its key value metrics.

The Associate Solutions Architect (A.SA) supports the Professional Services (PS) organization in assisting customers to implement the LM Envision platform, extend its capabilities through custom work, and help drive their business goals by providing a best-in-class service. The A.SA is responsible for working with pre-sales and post-sales teams to scope, design and deploy technical solutions and implementations for LogicMonitor's customers. The A.SA is a product expert that creatively solves business observability problems with LogicMonitor's LM Envision platform.

Here's a closer look at this key role:

Regularly interact with LogicMonitor prospective and existing customers to scope implementations, integrations and custom solutions that meet the customers requirements whilst working within the LM Envision platforms capabilities Technically assess the feasibility and approach for customer monitoring use cases and integrations Explores and researches new technologies to integrate and monitor with LogicMonitor Builds accurate estimates for services proposals, including hours effort, timeframe and pricing Works with Sales, CS and customers to develop detailed Statements of Work (SOWs) and design documentation Works collaboratively with the other Solutions Architects to peer review services proposals Regularly performs post-sales discovery and design of custom solutions with customers (requirements gathering, researching, prototyping and design documentation) Works collaboratively with the Project Managers and Solutions Architect teams to guide post-sales services delivery, aligning project teams to SOW deliverables, scope of engagement, and technical escalations (where necessary) Assists Solutions Engineer with deployment of tasks and solutions during PS engagements Regularly stays informed on product updates and consult with other SAs on services approach for new LogicMonitor platform features and enhancements Assists in development of new PS offerings and packages in line with customer common requirements and requests Works with product teams where appropriate to raise product issues and provide customer feedback to help drive the product roadmap Participates in product enablement sessions to learn how to best leverage new features and drive new feature enhancements adoption both internally and externally Follows Professional Services best practices Assists in developing and guiding customers on best practices as appropriate to the capabilities of the LM Envision platform

What You'll Need:

Click to read our International Applicant Privacy Notice.

#LI-KW1 #BI-Hybrid #LI-Hybrid

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.