Forward Deployed Engineer
CallMiner
Forward Deployed Engineer
CallMiner
Conversation analytics platform powered by AI
CallMiner · Prague, Czechia (Hybrid) · Full-time · Posted 2026-09-24
Workplace: hybrid
Department: Engineering
Job Summary
Forward Deployed Engineers take a defined use case from nothing to a working, production-grade system inside the customer's environment. That starts with knowing our platform deeply enough to combine its capabilities into solutions more complex than any single feature was designed for - and where a customer's specific needs call for something beyond the standard functionality, building that missing piece themselves. This is the role that builds the use case: not a prototype handed to someone else to production, but the system that goes live.
This is a customer-facing role. Understanding the customer's needs and the realistic possibilities of their technical environment - and working in close, daily collaboration with them - is what makes a deployment succeed. We're in daily working contact with the customer's engineers and executives, mostly online, with our team and theirs operating as one delivery unit with shared planning. Success is measured on the customer's numbers - resolution rate, containment, response latency, CSAT, cost per contact - and accountability continues past go-live.
Forward Deployed Engineering brings together two disciplines that used to sit apart: conversation design and integration engineering. An engineer who can build the technical logic behind a scenario; a conversation designer who can design the flow of the conversation itself - that is what an FDE is. We hire people who are genuinely strong in one of the two and want to grow the other - expert in both is a direction of travel, not an entry bar. The role is based in Prague and is part of a global function with teams in EMEA and North America.
Please note this is a hybrid role with significant customer on-site availability required.
Responsibilities
Own the solution design: translate a stated business problem into a technical architecture that fits the customer’s actual processes, constraints and systems.
Build the agent 0→1: design, build and iterate the first working version end to end - the system that goes into production, not a hand-off.
Close product gaps: build the custom extensions, integrations, services and tooling the deployment requires, without waiting for core roadmap prioritization.
Own the integration surface: systems of record, contact channels and data flows - and, for voice deployments, the telephony path from carrier to agent.
Evaluate, iterate, improve: define the workflow-specific tests that determine whether this deployment actually works, and iterate against real traffic until the numbers move.
Work as the customer’s technical counterpart: deploy alongside their engineers, monitor against the agreed KPIs, tune, and stay accountable past go-live.
Feed the platform: capture what you built as a reusable pattern and push recurring patterns toward the core product - the field is our sensing arm.
2+ years building and shipping software in a customer-facing role - solutions or forward-deployed engineering, professional services delivery, integration engineering, or product engineering with direct customer exposure.
Genuine depth in at least one of our two disciplines, and the appetite to grow the other: conversation and agent design (dialogue logic, prompting, flows, evaluation) or integration engineering (APIs, services, systems of record, data flows).
Strong hands-on coding in JavaScript/TypeScript, Python and/or C#/.NET - comfortable writing and maintaining production services, not only scripts.
Solid working experience of SQL, Linux and Docker - advantage just as important as the languages above.
Solid grasp of software architecture and API integration: authentication, webhooks, queues, error handling and failure modes.
Experience distributing data across critically loaded infrastructure, and the ability to account for race conditions, deadlocks and thread safety when designing systems.
Ability to work directly with customer engineers and executives - distil a complex system into a clear explanation, present a design, and defend a trade-off.
A track record of owning a complex project end to end, against real deliverables and real dates.
Comfort with ambiguity and with non-deterministic systems: forming a hypothesis, building the evaluation that tests it, and iterating to a number.
Willingness to travel.
Professional English, used daily with colleagues in EMEA and North America; Czech strongly preferred for work with regional customers.
Preferred Experience
Conversational AI or voice agents in production - flow and prompt design, retrieval, tool calling, and evaluation harnesses against real traffic.
Contact centre and CCaaS platforms (Genesys, Avaya, NICE, Five9, Amazon Connect) plus telephony fundamentals - SIP, DTMF, transfer, failover.
Integration with enterprise systems of record: CRM, ERP, data warehouses, custom internal APIs.
Cloud and container deployment (Azure, AWS, Docker, Kubernetes).
GDPR, ISO 27001, SOC 2 and data residency handled as architectural constraints, not paperwork.
Using AI tooling as a core part of how you build, not a side tab you open occasionally.
Additional Central European languages, particularly Slovak, Polish or German.
Does the possibility of using artificial intelligence to improve human connection excite you? We agree!
CallMiner is the global leader in AI-powered conversation intelligence and customer experience (CX) automation. Our industry-recognized platform captures and analyzes 100% of omnichannel customer interactions delivering the insights organizations need to improve CX, enhance agent performance, and drive automation at scale. By combining advanced AI, industry-leading analytics, and real-time conversation intelligence, we empower organizations to uncover customer needs, optimize processes, and automate workflows and interactions. The result: higher customer satisfaction, reduced operational costs, and faster, data-driven decisions. Trusted by leading brands in technology, media & telecom, retail, manufacturing, financial services, healthcare, and travel & hospitality, we help organizations transform customer insights into action.
CallMiner's core set of values – from maniacal customer focus and radical candor to team mentality and transparency – serve as a touchstone for what we strive to create in a workplace culture and weave through everything we do as a company. We believe that by building a team of brilliant, inspired people, we can truly accomplish amazing things together. We are committed to providing an inclusive and equitable workplace where everyone feels accepted, valued, and understood.
Our strong commitment to a positive environment continually earns us recognition as a top workplace, including Boston Globe Top Place to Work.
At CallMiner, we believe having a work-life balance is key to being able to deliver your best every day. Our perks are designed to enhance your daily work experience, promote your personal growth, and help you achieve a better work-life balance. From Maternity and Paternity Leave, ample Holidays, Fitness and Health Reimbursement, Tuition Reimbursement and more, we aim to provide an environment where you can thrive both professionally and personally.
We are an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, ancestry, disability, sexual orientation, marital status, veteran status, gender identity, or any other characteristic protected by applicable federal, state, or local laws.
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CallMiner provides an enterprise platform that uses AI and machine learning to analyze customer conversations across channels to produce actionable insights. It ingests audio or text, applies natural language processing and sentiment analysis, detects topics and patterns, and delivers dashboards and reports to guide business improvements. It differentiates itself with scalable, omnichannel conversation analytics across industries like retail, financial services, healthcare, and more, turning conversation data into concrete actions. Its goal is to help large organizations improve customer experience, optimize operations, drive growth, and enable transformational change through customer interaction data.
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