Forward Deployed Engineer (AI Solutions) - DACH Market
As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers.
As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers.
& THE TEAM The Partner Tech Applied Science team acts as the engine behind Zalando’s growth, partnering with Zalando Partners as well as int
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
Design and ship innovative UX patterns for conversational interfaces and AI-driven experiences on iOS - Architect and build Swift-first, pro
We re a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things.
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
& THE TEAM The Marketing Science team acts as the engine behind Zalando’s growth, partnering with business units across the full marketing funnel.
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The website. Technical blogs, webinars, and product videos.
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Baut und betreibt AWS-Infrastruktur, die Agenten und LLM-Services sicher, beobachtbar und kostenkontrolliert von Prototyp in den Produktivbetrieb bringt.
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As a Forward Deployed Engineer for Key Accounts, you are the technical point of contact for a portfolio of Aircall s strategic customers.
Data sits at the heart of the company.
Leitet das End-to-End-Design von AI-Agent-Erlebnissen über Messaging, Voice und E-Mail, von Discovery bis Launch, und stimmt Muster mit anderen Designern ab.
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Role highlights: - Senior MLOps Engineer, ISR - Location: Berlin, Germany - Department: ISR Analytics - Reports to: VP of ISR Analytics - Em
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Warum dieser Job gelistet ist
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As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption. Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership
: - Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture. - Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors. - Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements. - Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics. - Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope. - Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent. - Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team. - Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team. - Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking. - Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas. - Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform. - Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings. - Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners. - Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies. What you ll bring: - 0-6+ years of experience in technical consulting, solutions engineering, or integration-focused project management. - Client facing experience required - Technical skills: - Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers. - Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring. - Tools experience: - Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce). - Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes. - Excellent communication and stakeholder management skills, translating between technical and business audiences. - A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability. - Nice-to-haves: - Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT). - Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake). - Exposure to scripting (JavaScript/Python) for light customization and debugging. What Success Looks Like: - Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes. - Shortened time-to-first-value and increased automation adoption across SMB customers. - Reusable frameworks, models, and templates actively used by peers and partners. - Strong collaboration with Engineering and Product to enhance platform capabilities. - Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence. - Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutions Why This Role is Unique This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter. If you’re motivated by making cutting-edge technology accessible and impactful — while continuously learning and helping others do the same — this is the perfect next step in your career. Why join us? Key moment to join Aircall in terms of growth and opportunities ♀️ Our people matter, work-life balance is important at Aircall Fast-learning environment, entrepreneurial and strong team spirit 45+ Nationalities: cosmopolite & multi-cultural mindset Competitive salary package &
DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another.
We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
Want to know more about candidate privacy? Find our Candidate Privacy Notice here. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Aircall is a unicorn AI-powered communications platform transforming how teams win with customers. For over a decade, we’ve believed voice builds the strongest business relationships. We bring voice, SMS, WhatsApp, and 250+ integrations together on one seamless workspace—so every customer conversation drives revenue, resolves issues faster, and builds trust.
Our AI Voice Agents handle routine interactions while your team leads the conversations that matter most. Used by 24,000+ businesses worldwide. We’re 600+ people from 40+ nationalities across Paris, London, Madrid, Berlin, New York, San Francisco, Seattle, Sydney, and Mexico City.
We’re ambitious, product-driven, and execution-focused—built for visible impact, fast decisions, and real growth. Come join us! About the Team Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows.
We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy.
You don’t need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates. About
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Zur Originalanzeige203 geprüfte Stellen bei 134 Arbeitgebern, 24 davon ortsunabhängig. 81 in der KI-Entwicklung, 63 in Integration & Automatisierung.