Forward Deployed Engineer

As a Forward Deployed AI Engineer at ifs1 in London, the focus is on working closely with clients to deliver tailored AI solutions that drive real results. This role adapts ifs1’s products to meet unique client needs, drawing on a solid background in artificial intelligence and strong analytical skills. Key Responsibilities Work directly with clients to identify and understand their operational challenges. Deploy and configure AI-driven products for practical, real-world applications. Customize solutions to align with specific client goals and requirements. Use AI expertise to address and solve business problems. Location This position is based in London.

AI Engineer - Forward Deployed Engineer (All Levels) Req ID: CSQ426R186 Our Mission The AI Forward Deployed Engineering (AI FDE) team at Databricks is a specialized, customer-centric group focused on delivering exceptional AI solutions. We engage with our clients to develop and implement innovative AI applications that are cutting-edge and tailored to their unique needs. Our collaborative environment allows us to work closely with engineering, product management, and developer relations, as well as support our internal subject matter experts. We seek passionate individuals who thrive on customer interaction, teamwork, and a desire to stay ahead of the latest trends in Generative AI, LLMOps, and machine learning. Your Impact Design and develop groundbreaking Generative AI solutions utilizing the latest advancements from our Mosaic AI research to address client challenges. Lead the deployment of consumer-facing and internal Generative AI applications into production. Act as a trusted technical consultant to clients across various industries. Represent Databricks as a thought leader at industry events such as the Data + AI Summit. Work collaboratively with product and engineering teams to shape strategic priorities and influence the product roadmap. What We Value in You Proven experience in developing Generative AI applications, including retrieval-augmented generation (RAG), multi-agent systems, Text2SQL, and fine-tuning, with tools such as HuggingFace, LangChain, and DSPy. Strong background in deploying production-grade Generative AI applications, including evaluation and optimization techniques. Several years of hands-on experience in data science, utilizing common tools such as pandas, scikit-learn, and PyTorch. Experience in building scalable machine learning deployments on cloud platforms like AWS, Azure, or GCP. A graduate degree in a quantitative field (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience. Ability to communicate and teach technical concepts effectively to both technical and non-technical audiences. A genuine passion for collaboration, continuous learning, and leveraging AI to drive business success. [Preferred] Familiarity with the Databricks Intelligence Platform and Apache Spark™ for processing large-scale distributed datasets.

Company OverviewCommerceIQ is at the forefront of transforming online sales through its innovative AI-driven digital commerce platform. Our comprehensive e-commerce management solutions provide brands with the tools they need to make informed, rapid decisions through actionable insights. These insights optimize digital presence, enhance retail media ROI, and drive additional sales across leading global marketplaces. With a robust network of over 900 retailers, our platform empowers over 2,200 prestigious brands to enhance their marketing, supply chain, and sales strategies, effectively increasing their market share in more than 50 countries. We proudly serve 10 of the top 12 CPG brands, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez. Backed by more than $200M in funding from notable investors like SoftBank and Insight Partners, we invite you to learn more at commerceiq.ai.The Role:As a Forward Deployed Engineer, you will collaborate directly with our founders and AI Product Managers to design and implement AI-driven solutions that address our clients' most critical challenges. This high-impact engineering role reports directly to the Head of AI Strategy and Outcomes. You will work alongside members of the executive team at our Mountain View headquarters, partner with our engineering team in Bangalore, and interact frequently with enterprise clients. Your contributions will be pivotal in defining our engagement with key clients, establishing the company's inaugural forward deployed engineering function, and advancing our mission of empowering brands in the AI-driven e-commerce landscape.Location / Travel:This role is based in our London office, with approximately 50% travel required to client locations. We are currently considering candidates located in the London, UK area only.

Supported by visionary investors such as Sequoia Capital, Magentic is at the forefront of AI innovation, combining elite engineering talent from OpenAI, Meta, and AWS with procurement specialists from McKinsey & Company and ABInBev.We are in search of exceptional Forward Deployed Engineers to enhance our team at Magentic. Our mission is to redefine the AI landscape with cutting-edge agentic systems capable of overseeing entire workflows, focusing on the lucrative $3 trillion market within supply chains and procurement.Our goal is to fortify global manufacturing supply chains against the uncertainties of the modern world while leveraging the transformative power of generative AI, ensuring ethical deployment and safety at the forefront of our efforts.Your RoleAs a Forward-Deployed Engineer, you will play a vital role at the nexus of product design, engineering, and customer success. You will work closely with client teams to diagnose their challenges and harness their data, empowering our product engineers to create impactful features. Your insights will be pivotal in developing solutions and proposing innovative features for our enterprise clients while you enhance your AI skills in a pioneering AI-centric environment.Key ResponsibilitiesEstablish strong connections with our key clients—renowned names in the manufacturing sector.Analyze extensive, unstructured data sets—identify hidden value for our customers and assist in configuring our product to highlight these insights.Engage directly with executives and operators—facilitate brainstorming sessions, transform vague requirements into actionable specifications, demonstrate our product, and provide user training.Influence our product roadmap—collect feedback from customers to prioritize new features and product developments.

Polaron, a pioneering spin-out from Imperial College London, was founded by Dr. Isaac Squires, Dr. Steve Kench, and Dr. Sam Cooper. Our mission is to leverage engineering, artificial intelligence, and materials science to create the next generation of materials that will shape the future.We aspire to lead at the intersection of AI and materials science, merging scientific rigor with practical engineering to foster sustainable, high-performance materials. Our work addresses not just intellectual challenges but the immediate and significant impact of advancing material technologies. From powering electric vehicles with cutting-edge batteries to optimizing alloys for turbines and reducing aircraft weight with innovative composites, our contributions are vital to contemporary life.By accelerating the development, design, and manufacture of these materials, we enhance the global capacity to cultivate a sustainable future.We are in the process of developing a cloud-based SaaS platform that enables materials engineers to seamlessly utilize advanced image-based AI, facilitating insightful analysis and rapid innovation with ease.Key Highlights:A dynamic team of 12, rapidly expanding.Located in East London (Shoreditch Exchange, Hoxton).Supported by groundbreaking research and robust industry partnerships.What We Are Creating:At Polaron, we are crafting state-of-the-art tools that empower materials scientists and manufacturers to utilize advanced AI vision models directly from their web browsers.Our application features:A data-intensive visual interface for exploring, interacting with, and analyzing complex datasets (including high-resolution image data) in a browser optimized for performance and scalability.Interactive visualization and analysis tools that integrate 2D, 3D, and graphical data representation.A computational orchestration layer that seamlessly connects user experiences with machine learning models, enabling sophisticated analyses and simulations.Scalable AI infrastructure for training, serving, and executing complex machine learning workflows across distributed environments.Why We Are Hiring:We are entering a phase of rapid product adoption and platform scaling, with our technology being deployed in real-world research settings.

Join Anthropic as the Manager of Forward Deployed Engineering in our Applied AI division. In this pivotal role, you will lead a team of skilled engineers who are at the forefront of deploying innovative AI solutions. Your leadership will be crucial in driving technical excellence and fostering collaboration between cross-functional teams. You will work closely with product management and research teams to ensure our AI systems are effectively integrated into real-world applications.

At Intercom, we are pioneering the future of customer service with our cutting-edge AI technology. Our mission is to empower businesses to deliver exceptional customer experiences.Our advanced AI agent, Fin, is the most sophisticated customer service AI available, enabling businesses to provide seamless, around-the-clock support. It can be integrated with our Helpdesk to create the Intercom Customer Service Suite, a comprehensive solution for handling more intricate customer inquiries that necessitate human intervention.Established in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is redefining the customer service landscape. Guided by our core principles, we are committed to pushing boundaries, fostering innovation, and delivering outstanding value to our customers.What’s the Opportunity?Recently, we have seen a surge in demand for software engineers dedicated to working alongside our most strategic clients, helping to align their business objectives with our AI Agent for Customer Service, Fin.As a Staff Forward Deployed Engineer, you will collaborate directly with these clients and our Go-To-Market team to thoroughly understand their use cases. You will design, develop, and implement tailored solutions, operating with a high degree of autonomy and being entrusted to set direction, take ownership of outcomes, and represent Intercom in high-stakes customer interactions. Your contributions will be vital in transforming how our clients scale their support operations, resulting in significant business impact.Additionally, you will lead by example, serving as a cross-functional force multiplier who influences product direction through field insights and helps define the essence of Forward Deployed Engineering at Intercom.If you seek a role that offers ownership, creativity, and the opportunity to guide R&D and Go-To-Market teams in a dynamic environment, this position is for you.

About Our TeamAt OpenAI, our Forward Deployed Engineering team collaborates closely with clients to transform groundbreaking research into robust production systems. We function at the pivotal intersection of customer delivery and core platform innovation.About the RoleAs a Forward Deployed Engineer (FDE), you will spearhead intricate, end-to-end deployments of cutting-edge models in collaboration with our most pivotal clients. You will be responsible for the entire process from discovery and technical scoping to system design, construction, and production rollout, working hand-in-hand with client engineering and domain teams.Your success will be measured through the adoption of production systems, tangible workflow improvements, and evaluation-driven feedback that shapes product and model development. You'll engage closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.This opportunity is based in London, utilizing a hybrid work model of three days in the office each week. We provide relocation assistance and require travel of up to 50%.Your ResponsibilitiesLead technical delivery across multiple deployments, from initial prototype to stable production.Develop full-stack systems that deliver significant customer value and enhance our learning processes.Work closely with client teams, understanding their requirements, and driving the adoption of the solutions you create.Plan tasks, prioritize delivery, and proactively eliminate obstacles.Balance trade-offs between scope, speed, and quality; adapt plans to safeguard timely delivery.Contribute directly to code when necessary for progress or clarity.Document effective working practices in tools, playbooks, or reusable components for team use.Provide feedback from the field to assist Research and Product in identifying model strengths and areas for enhancement.Ensure teams remain aligned and productive through clear communication and follow-through.Ideal Candidate ProfilePossess 5+ years of engineering or technical deployment experience, including customer-facing roles.Demonstrated ability to scope and deliver complex systems in dynamic or ambiguous environments.Proficient in writing and reviewing production-grade code across frontend and backend technologies, including Python and JavaScript.

About HappyRobotHappyRobot is an innovative, AI-native operating system designed for the real economy. Our platform bridges the gap between intelligence and action, empowering enterprises to manage complex, mission-critical operations autonomously. By leveraging real-time insights, specialized AI workers, and orchestrated intelligence, we enable businesses to enhance resilience, agility, and continuous improvement in their operations.Our AI OS constantly learns, optimizes, and evolves, focusing initially on supply chain and industrial-scale operations. We aim to free human resources to concentrate on strategic, creative, and high-value tasks. Discover more about our vision in our Manifesto. HappyRobot has successfully raised $62M to date, including a recent $44M Series B funding round in September 2025. Our esteemed investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10, all of whom share our commitment to revolutionizing enterprise operations. We are dedicated to building a world-class team characterized by relentless drive, exceptional problem-solving capabilities, and a passion for pushing boundaries in a fast-paced environment. If this resonates with you, we invite you to join us at HappyRobot.Role OverviewWe are in search of a dynamic and proficient Forward Deployed Engineer to enhance our team. This role requires a blend of robust technical skills and exceptional communication abilities, as you will work directly with clients to maximize the value derived from HappyRobot’s AI platform. Your responsibilities will encompass onboarding, implementation, and ongoing support, alongside contributions to product development and innovation.

Join V7: Pioneering AI SolutionsAt V7, we are committed to building advanced AI platforms that empower individuals to achieve exceptional results at unprecedented scale and speed. Our mission is to transform human expertise into reliable AI systems, enhancing the efficiency, intelligence, and precision of complex tasks. With robust backing from esteemed investors and AI innovators, including the visionary creators behind Transformers and Gemini, we are on an accelerated growth trajectory.About Our ProductV7 Go equips finance and teams with a powerful toolkit for deploying and constructing custom no-code AI agents. By harnessing multi-modal data, we provide verifiable outputs alongside transparent AI logic to ensure accuracy and compliance.Unlike traditional AI agents that often operate as opaque systems, V7 Go Agents are engineered to be predictable, transparent, and auditable at every stage. Our platform supports cutting-edge models such as GPT, Claude, and Gemini, delivering optimal accuracy and performance. Check out our V7 Go keynote to learn more about our innovative solutions.Your Future Team and ImpactYou will join our dynamic go-to-market team as the second Solutions Engineer based in London, collaborating closely with a dedicated group of six professionals at the intersection of sales and product, serving clients across finance, insurance, and real estate sectors.Last year, V7 Go quadrupled its revenue, achieving over 160% upsell within existing accounts. Your role will be crucial in accelerating this growth by ensuring that every client derives substantial value from our solutions.We foster a lean, high-trust environment where you will work directly with Account Executives, engineers, and product teams to close intricate deals and cultivate new clients into long-term advocates.Your contributions will directly influence how enterprises engage with agentic AI for the first time, shaping their perception and trust in the technology.Your Responsibilities from Day OneConduct technical discovery sessions, design customized solutions, and lead Proof of Concept (POC) initiatives alongside Account Executives to secure deals, followed by managing customer onboarding to facilitate rapid realization of value.Develop and implement workflows within V7 Go, integrating prompt engineering, data pipelines, and solutions to address real customer challenges in document processing and beyond.Serve as the primary technical liaison for accounts, tackling complex issues and identifying opportunities for expansion.

Role Overview Databricks is looking for a Senior Forward Deployed Engineer based in London, United Kingdom. This role focuses on connecting Databricks technology with customer goals, helping organizations get the most from the Databricks platform. What You Will Do Guide customers through integration and deployment of Databricks solutions Work with internal teams to spot areas for improvement in customer projects Support clients as they adopt and scale Databricks technology Contribute technical expertise to ensure customer success Collaboration This position involves close collaboration with product, engineering, and customer teams. The goal is to identify needs, solve problems, and help customers realize value from Databricks products.

Join Anthropic as a Forward Deployed Engineer (FDE) on our Applied AI team, where you'll engage directly with strategic customers to drive transformative AI adoption. You'll collaborate closely with client teams to deliver advanced AI applications that address real-world business challenges while ensuring safety and reliability. As a founding member of our FDE team, you'll operate autonomously, thrive in dynamic environments, and represent Anthropic's mission at the highest level. Your role will involve building production applications using Claude models, delivering technical artifacts, and providing premium deployment support in enterprise settings. You'll maintain an up-to-date knowledge of AI developments and cultivate long-term relationships with customers to identify new deployment opportunities.

About Chalk Chalk is revolutionizing the data platform landscape to empower the next generation of machine learning applications. We simplify complex processes, eliminate latency, and scale challenges that have historically limited ML potential. Our platform offers Rust-speed performance combined with user-friendly tools that developers appreciate. Leading organizations trust Chalk to tackle a variety of challenges, from preventing fraudulent credit card transactions to identity verification and optimizing clean energy capture. Recently, we secured a $50 million Series A funding round, spearheaded by Felicis. About the Role As a talented software engineer, you will craft tailored technical solutions and collaborate with machine learning teams to enhance Chalk’s proprietary infrastructure. You will engage with Chalk’s clients to develop streamlined feature pipelines addressing challenges in healthcare, finance, and recommendation systems. This role provides a unique opportunity to work directly with clients, gathering requirements and engineering solutions for applications such as cancer detection, fraud prevention, and product recommendations. Join us in-person as an early team member and make a meaningful impact at a rapidly growing startup. Responsibilities Develop and implement Chalk technology for our customers and prospects, familiarizing yourself with Chalk's infrastructure to optimize integration across various environments. Collaborate closely with our Engineering and Sales teams. Serve as the primary technical contact for clients during pre-sales and post-sales phases, especially during onboarding and ongoing support. Advise clients on new products as their business needs evolve. Participate in interviewing and expanding the Engineering team. Qualifications Strong technical foundation with experience in software development or building machine learning models. Minimum of 2 years of professional experience in backend software engineering. Proficiency in Python and SQL. Demonstrated ability to work effectively within teams comprising both technical and non-technical members. Exceptional written and verbal communication skills, along with strong problem-solving, storytelling, and analytical capabilities.

About SmartcatAt Smartcat, we are redefining the future of work by merging human intelligence with advanced digital teammates, creating productivity enhancements that can range from 10x to 1000x for the world's foremost enterprises.We stand at the forefront of a groundbreaking innovation: Agentic AI. Our mission is to empower organizations to develop high-efficiency hybrid workforces comprised of both human talent and AI agents. Unlike generic assistants, our AI agents are meticulously trained to learn from your top performers, your proprietary content, and your strategic goals—ready to contribute from day one.Our platform seamlessly integrates generative AI, human-in-the-loop processes, and a dynamic Enterprise Skill Graph that continuously evolves and improves. Whether it’s launching a global product, onboarding new team members, translating educational materials, or coordinating legal teams across borders, Smartcat transforms knowledge into actionable solutions and scales them effectively.With over 1,000 businesses, including 20% of the Fortune 500, trusting Smartcat to expand their global reach—accurately and in every language—we are a rapidly growing Series C company committed to investing in individuals eager to shape the future of work alongside us.Join us in unlocking global potential, one human and AI collaboration at a time.Forward Deployed Engineering MissionAs a Forward Deployed Engineer within Smartcat’s Go-To-Market organization, you will take ownership of technical success throughout the entire customer journey—from the initial pre-sales workflow analysis to implementation, adoption, and ongoing expansion. FDEs play a pivotal role in driving Annual Recurring Revenue (ARR) by delivering quantifiable outcomes and constructing AI-infused workflows that enhance Agent Platform adoption, elevate multilingual quality, and optimize long-term value. You will collaborate closely with Sales, Customer Experience, Product, and Engineering teams to translate business objectives into effective solutions (integrations, prompts, and AI agents), lead client go-lives, and extract customer insights that will shape product direction and roadmap priorities for our most significant clients.Role OverviewThe Forward Deployed Engineer (FDE) at Smartcat is a senior, client-facing technical delivery role responsible for converting business objectives into active AI-driven localization workflows—ensuring these workflows achieve measurable results.This is not a backend implementation role. You will be the primary contact and trusted advisor for our largest clients, accountable for their delivery and success.It is a forward-facing, outcome-oriented position that demands a high level of technical expertise and a commitment to client success.

Join Us as a Forward Deployed Software EngineerAt Ameba, we are revolutionizing traditional industries with innovative software solutions. This is an exceptional chance to engage directly with customers, developing groundbreaking software that transforms the supply chain narrative—from raw materials to finished products. If the intricacies of supply chains intrigue you, we invite you to be part of this journey!Our startup is powered by seasoned entrepreneurs who have successfully raised over $160 million and a dynamic team of builders from top tech companies like Meta, Palantir, Microsoft, and UnlikelyAI. With robust backing from prominent investors in Europe, we have secured over $9 million in funding since our inception just over a year ago.Role OverviewAs a Forward Deployed Software Engineer, you will work directly with our key clients, tackling complex challenges and delivering production-ready software solutions in a matter of days. This is not a conventional back-office position; you will be on the front lines with high-tech manufacturers and global fashion leaders, analyzing workflows, identifying enhancement opportunities, and swiftly creating tools that enhance operational efficiency.You will engage with the entire technology stack: developing backend applications in Kotlin, designing user interfaces with React/TypeScript, managing infrastructure deployments on AWS, and fine-tuning machine learning agents. You will enjoy complete autonomy in taking ideas from inception to deployment and will collaborate closely with our CTO and engineering team to ensure successful Ameba deployments.Life at AmebaWe offer competitive salaries and generous equity packages to recognize our talented team members. Our focus is on building a small, highly skilled team, and we aim to reward their contributions accordingly.Enjoy collaborative office work five days a week, fostering high-quality interactions. We offer flexibility for remote work as needed, but our priority during this growth phase is to cultivate a strong in-office culture.We provide 28 vacation days annually and a complete shutdown over the holiday season for two weeks, allowing our team to recharge.We offer four months of maternity and paternity leave at 100% pay to support our employees during significant life events.

Join Our Recruiting TeamAt OpenAI, our Recruiting team serves as the entry point to a forward-thinking organization that prides itself on a mission-driven approach and meaningful relationships in hiring. We collaborate closely with various teams within the company to attract, engage, and support individuals who will contribute to the future of artificial intelligence. Our commitment lies in developing safe artificial general intelligence (AGI) for the benefit of all humanity.As a pivotal part of OpenAI's mission, the Recruiting team focuses on sourcing and hiring exceptional talent that embodies our core values and cultural aspirations. We strive to set standards of excellence and innovation in recruitment, matching remarkable candidates with opportunities that shape the AI landscape.About the RoleWe are seeking a seasoned Recruiter to enhance our Forward Deployed Engineering organization, overseeing the entire hiring process for a team dedicated to translating research breakthroughs into practical production systems. You will develop hiring strategies in partnership with business leaders, manage the sourcing and evaluation process, ensure an exceptional candidate experience, and collaborate with teams such as HRBP, Legal, and Compensation to foster a seamless and compliant recruitment procedure.Your Responsibilities Include:Oversee complete recruitment cycles for our Forward Deployed Engineering team, encompassing sourcing, managing the hiring process, and finalizing offers.Collaborate directly with business leaders to comprehend departmental needs and formulate proactive recruitment strategies that align with organizational objectives.Employ advanced sourcing techniques and tools to attract and engage elite candidates.Guarantee an outstanding candidate experience throughout the recruitment journey.Partner with internal teams such as HR, Legal, and Compensation to ensure compliance and operational excellence throughout the recruitment lifecycle.Offer expert guidance and assistance to hiring managers on best practices for interviewing, candidate evaluation, and employer branding.You Will Succeed in This Role If You Have:7+ years of full-cycle recruiting experience, specifically within in-house settings at rapidly growing firms.A proven track record of attracting top 1% talent.A high degree of adaptability in fast-paced, evolving environments, effectively balancing strategic vision with hands-on execution.Exceptional communication skills and the ability to engage effectively with diverse stakeholders.

About UsAt Supermodular AI, we empower enterprises to embark on their AI transformation journeys. We believe that true strategy is born from execution.While most organizations recognize the transformative potential of AI, they often face challenges in translating their aspirations into tangible operational changes. The hurdles frequently lie not with the technology itself, but with integrating AI into complex systems, workflows, and engineering teams that have developed over time. We assert that AI transformation cannot be confined to strategy documents; it requires practical implementation and operation within the organization.That’s why we collaborate closely with enterprise IT and software teams to design and deploy AI systems in real-world scenarios. We facilitate engineering organizations in adopting innovative AI-native development practices, frameworks, and technical assets that revolutionize how teams develop and operate software. Additionally, we develop tailored AI systems that resolve challenging modernization or harmonization efforts where traditional methods have faltered.Our team boasts a proven track record of constructing impactful AI systems and scaling engineering teams within intricate enterprises. If you thrive on addressing complex enterprise challenges and transforming ambitious concepts into operational systems, you will find your place at Supermodular AI.Your RoleAs a Senior Forward Deployed Software Engineer at Supermodular AI, you will engage directly with enterprise IT and software teams to translate AI into operational systems.You will be integrated into actual enterprise environments, collaborating with engineers and technical leaders to grasp current system operations and identify how AI can generate significant impact. A substantial portion of your time will be devoted to navigating complex system landscapes, pinpointing opportunities, devising practical solutions, and constructing systems that bring them to fruition.Your responsibilities will encompass the entire engagement lifecycle. You will influence technical strategies early on, design architectures that accommodate enterprise constraints, and implement systems that yield genuine operational enhancements.Many challenges you will face may not be clearly defined from the outset. Your mission is to clarify these environments by proposing practical solutions and developing systems that advance the organization. Ultimately, this role is centered around one core objective: building systems that convert AI ambitions into functional capabilities.

As a Senior Forward Deployed Engineer at Databricks, you will play a critical role in deploying our cutting-edge data analytics solutions to our clients. You will work closely with customers, providing technical expertise and support to ensure successful implementation and utilization of our platform. Your role will involve collaborating with various teams to address complex customer challenges, enhance user experience, and drive product adoption.

YOUR MISSION: As a Senior Forward Deployed Engineer (f/m/d) at Parloa, you will play a pivotal role in driving the adoption of cutting-edge enterprise AI technology. Your mission is to lead comprehensive deployment projects, focusing not only on implementing existing solutions but also on crafting innovative engineering strategies that ensure success at an enterprise level. As a Forward Deployed Engineer (FDE), you will be our in-field product engineer, tasked with creating solutions that have yet to be developed. You will adapt architectures to meet the unique realities of enterprise environments and engineer integrations across various systems and APIs to facilitate successful deployments. This hands-on role requires a coding-first approach, as you will actively build, debug, and engineer solutions directly in the field. Your contributions will not only drive deployment success but will also shape the customer experience with Parloa and influence the evolution of our product. Your focus will not be on maintenance; instead, you will be engineering what is necessary for success in production, adhering to real-world enterprise constraints, and delivering results at speed and scale. IN THIS ROLE YOU WILL: Own deployment engineering projects: Lead the technical execution, including product engineering, of Parloa’s deployments within large, complex enterprise environments. Design for scale and resilience: Architect deployment solutions that fulfill enterprise-grade requirements for performance, reliability, and security. Engineer solutions where none exist: Develop custom extensions, integrations, and configurations to address product gaps and meet enterprise demands. Work across systems & stacks: Collaborate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery. Partner with enterprise teams: Collaborate directly with customer engineering organizations to navigate constraints and deliver measurable outcomes. Guide and mentor others: Provide technical guidance and support to junior in-field engineers. Influence at senior levels: Engage with enterprise architects and senior technical stakeholders to discuss solutions and architectures in depth, ensuring alignment and credibility. Debug under pressure: Quickly resolve issues in mission-critical environments to ensure customer success. Shape the product: Serve as the feedback loop between the field and our core engineering teams, converting deployment insights into platform improvements.