> Markdown version of [/jobs/ext/2801107-product-support-engineer](https://www.wearedevelopers.com/jobs/ext/2801107-product-support-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Support Engineer - **Company:** Mosaic - **Location:** London, UK - **Salary:** £93,500.0 - £140,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Databases, Relational Databases, Software Debugging, Github, Hardware Design, Python (Programming Language), LabVIEW, PostgreSQL, MATLAB, MySQL, Standard Sql, Technical Data Management Systems, Datadog, Grafana, Pandas, Build Tools, Codebase, Vertica - **Published:** September 9, 2026 - **Apply:** https://www.collegerecruiter.com/job/2852293228-product-support-engineer ## About the Role * Strong Technical Fluency: Comfortable with APIs, relational databases like Postgres, MySQL, or ClickHouse, and observability tools like Datadog. You can write Python, navigate a codebase, and work comfortably in GitHub. * A Builder Mindset: You enjoy figuring things out yourself. You don't need a perfectly documented playbook and are comfortable digging into unfamiliar systems to find the answer. * Customer Empathy: You like working directly with technical users and can translate a customer's problem into a clear technical issue or product opportunity. * Debugging Instincts: You know how to follow a problem through logs, data, APIs, and code to get to the root cause rather than stopping at a workaround. * Product Thinking: You can recognize when a customer issue points to a deeper product problem and advocate for changes that improve the experience for more than one customer. * Cross-Functional Strength: You can work seamlessly with engineering and product, communicate technical context clearly, and keep issues moving without waiting for someone else to take ownership. * Clear Communication: You can explain complex technical problems simply, whether you're talking to an engineer, a customer, or an executive. * Hardware Curious: Experience with hardware development, testing, measurement, validation, or other engineering environments is a strong plus. * Familiarity With Technical Data: Experience with tools or formats like LabVIEW, MATLAB, MCAP, or HDF5 is a plus. * Data Skills: Strong SQL and Python skills, including experience with Pandas or similar data analysis tools., To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. ## Description * Own Technical Problems End-to-End: Take ownership of complex customer issues from initial investigation through resolution. You'll dig into the problem, identify the root cause, and drive it to closure. * Work Directly With Engineers: Partner closely with highly technical customers to understand how they use Nominal, troubleshoot issues, and help them get the most out of the product. * Debug the Real Thing: Dive into logs, APIs, databases, code, and production systems to understand what's happening. You won't just be routing tickets, you'll be solving problems. * Partner With Product & Engineering: Bring customer problems directly to the teams building the product. Help distinguish bugs from product gaps, influence priorities, and push issues toward lasting solutions. * Turn Support Into Product Improvements: Identify recurring patterns across customers and use those insights to improve the product, documentation, tooling, and overall customer experience. * Build the Knowledge Base: Create technical documentation, troubleshooting guides, and internal tools that make the team and our customers more self-sufficient. * Use AI to Work Smarter: Leverage AI to accelerate debugging, investigate issues, automate repetitive workflows, and build tools that make technical support more scalable. * Own High-Impact Moments: When something breaks or a customer is blocked, you'll be the person who jumps in, figures out what's happening, and keeps everyone moving. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Grappling With Clunky Old Software? 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