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Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead supply chain strategy and warehouse automation projects for clients, optimizing logistics, distribution, and inventory. Analyze supply chain data, design integrated business planning solutions, manage budgets, and recommend transformation initiatives. Coach and mentor teams, oversee client relationships, and drive process improvements to enhance operational efficiency and profitability.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Advise clients on supply chain strategy and execution, focusing on logistics, inventory, procurement, warehouse automation, and connected operations. Analyze complex business issues, implement supply chain management solutions, mentor junior staff, and drive operational improvements to enhance performance and profitability.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design and build data infrastructure, pipelines, integrations, and transformations using Azure Data Factory and Databricks. Develop data models, validate data quality, optimize database performance and security, and support client analytics initiatives. Collaborate with teams, mentor junior staff, and translate data into actionable insights to inform strategy.
Top Skills:
AzureAzure Data FactoryDatabricks
At Logz.io, we’re redefining observability with AI. Our Open 360™ Observability Platform transforms observability from a high-cost burden into a smarter, faster, and easier way to troubleshoot faster, reduce risk, and optimize costs.
Engineering teams rely on Logz.io to quickly detect, understand, and resolve issues across their distributed environments—without the complexity or cost of traditional solutions. With AI-powered insights, automation, and a seamless experience across logs, metrics, and traces, we help teams move faster and innovate with confidence.
We’re building the future of observability, and we’re looking for passionate, driven individuals to join us. If you’re excited about solving complex engineering challenges, shaping the next generation of AI-powered observability, and making an impact—come build with us!
About the Role
As a Technical Customer Success Engineer, you’ll play a critical role in our Post-Sales organization, helping customers realize the full value of Logz.io’s observability solutions. This is a hands-on, technical, and customer-facing role where you’ll:
· Act as a trusted advisor for top enterprise accounts.
· Guide architecture decisions and integration best practices.
· Troubleshoot complex technical issues.
· Drive long-term success and adoption across customer environments.
· You’ll combine deep technical expertise with strong relationship-building skills to ensure customers achieve measurable outcomes and stay ahead in their observability journey.
What You’ll Do
- 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.
What We’re Looking For
- Customer-first mindset—passionate about driving continuous value.
- 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/BSc 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.
Logz.io offers both competitive cash and equity compensation. We have a generous vacation policy as well as paid parental leave, health, dental, vision, retirement and commuter benefits.
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on “protected categories,” Logz.io also strives to prevent other, subtler forms of inappropriate behavior from ever gaining a foothold in our company. Whether blatant or hidden, barriers to success have no place at Logz.io.
Reach out if you want to be a part of what we are building.
Logz.io Boston, Massachusetts, USA Office
253 Summer St, Boston, MA, United States, 02210
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
