
Dexory · Verda Park
Forward Deployed Engineer At Dexory, we believe that real-time data will revolutionise the logistics industry. We are building the ultimate data insights platf...
Forward Deployed Engineer
At Dexory, we believe that real-time data will revolutionise the logistics industry. We are building the ultimate data insights
platform that provides companies with unprecedented access to their operations through autonomous data capture and digital twins.
As a Forward Deployed Engineer at Dexory, you will sit inside the engineering organisation as an intelligent interface layer
between our various engineering teams. Dexory operates with a global fleet of autonomous robots, supported by a 24/7 first-line
support team. The Forward Deployed Engineer sits above that layer, taking ownership of complex, ambiguous issues and driving them
to resolution or to the right team. You will be one of Dexory’s first Forward Deployed Engineers, representing Dexory at the
highest level in customer environments and helping to define how this function operates as we scale.
This is a technically demanding role for someone who is as comfortable spotting patterns across weeks of telemetry data as they
are at supporting a new customer deployment on the ground. You will query data across logs, databases, and observability tooling,
interpret point cloud scan data, and navigate Grafana, AWS, and a range of robotics-specific tooling to investigate issues and
understand their root cause. Crucially, you will also use what you learn to improve things — identifying recurring failure modes,
feeding structured insights back into the engineering teams, and raising the platform’s reliability across our global fleet. You
will also support new customer deployments end-to-end, bridging WMS and network integration questions with robot operational and
perception configuration requirements.
The right person is defined by their investigative instinct and technical curiosity, not their robotics or logistics background.
Domain knowledge is built on the job through close collaboration with the engineering teams.
independently before routing to the relevant engineering teams. Query telemetry data, robot logs, AWS infrastructure, internal
tooling and databases — including scan and point cloud data where relevant — to narrow the blast radius of a problem and form a
view on root cause before pulling in specialist teams.
dashboards and alerting that improve visibility into system performance across deployed sites. Use telemetry data proactively
to identify issues before they surface as customer complaints.
end-to-end, covering WMS and ERP integration queries, network and connectivity requirements, robot operational setup, and
perception feature configuration. Act as the cross-functional point of contact who can answer or route questions across the
full Dexory system.
that when specialist engineers are brought in, they receive a well-structured summary of what has already been investigated,
what has been ruled out, and the most likely failure domain.
steady-state operation. Build strong, lasting relationships with customer engineering and operations stakeholders, proactively
identifying new opportunities to drive value throughout the lifecycle of an engagement. Run technical workshops and training
sessions that drive lasting adoption. Produce clear, professional documentation covering deployment architectures, integration
designs, and operational runbooks.
engineering feedback. Contribute to internal knowledge bases and runbooks that reduce investigation time for future issues.
reusable frameworks that improve the efficiency and consistency of the FDE function as the team grows.
customer setups and investigate and diagnose complex, multi-system problems independently.
from large, noisy datasets.
diagnose production issues.
pipeline tooling.
teams and customer stakeholders.
multi-system situations and driving issues to resolution without close direction.
job.
delivery.
Benefits
Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles:
Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting
world-changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the
future of logistics solutions through our products, our culture and our shared vision.
AAP/EEO Statement
Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and
harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected
veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of
employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence,
compensation and training
CSQ327R45 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * Extensive experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
ÜBER 8RETURNS 8returns ist ein etabliertes SaaS-Unternehmen aus Berlin, das einen der komplexesten Bereiche im E-Commerce neu denkt: Retouren. Unsere Plattform hilft Onlinehändlern, Retouren einfacher zu steuern, Prozesse zu automatisieren und aus Retourendaten bessere operative Entscheidungen abzuleiten. Wir arbeiten mit schnell wachsenden DTC-Brands wie 6PM, OACE und SNOCKS sowie etablierten Marken wie Tommy Hilfiger und Reebok. DEINE AUFGABEN * Du verstehst, strukturierst und bewertest technische Anforderungen unserer Kunden. * Du konzipierst und baust Integrationen zwischen 8returns und externen Systemen wie Shops, ERP-Systemen, 3PLs und Warehouse-Tools. * Du analysierst APIs, Webhooks und technische Dokumentationen, um Datenflüsse sauber umzusetzen. * Du begleitest Kundenanforderungen von der ersten technischen Einschätzung bis zur produktiven Lösung. * Du schätzt Machbarkeit, Aufwand und technische Risiken für Sales und Customer Success ein. * Du setzt kleinere Produktanpassungen, Automatisierungen und kundenspezifische Erweiterungen eigenständig um. * Du debugst Integrationsprobleme und entwickelst robuste Lösungen daraus. * Du erkennst wiederkehrende Integrationsmuster und übersetzt sie in wiederverwendbare Bausteine. WAS WIR SUCHEN * Technischer Background in Software Engineering, Solutions Engineering, Implementation Engineering oder vergleichbarer praktischer Erfahrung * Sehr gutes Verständnis von APIs, Datenmodellen, Webhooks, Authentifizierung, Logs und technischen Dokumentationen * Starke Builder-Mentalität: Du kannst offene technische Probleme strukturieren und eigenständig zu einer funktionierenden Lösung bringen * AI-native Arbeitsweise mit Tools wie Claude Code, Cursor, Agents oder ähnlichen Workflows * Deutsch auf muttersprachlichem oder vergleichbarem Niveau * Fähigkeit, mit Kunden klar und ruhig über technische Themen zu sprechen * Pragmatismus: Du willst Probleme lösen, nicht weiterleiten NICE TO HAVE * Erfahrung mit Shopify oder E-Commerce * Erfahrung mit ERP-, Warehouse-, 3PL- oder Order-Management-Systemen WARUM DIESE ROLLE SPANNEND IST Du arbeitest direkt mit den Gründern, bekommst viel Autonomie und hast direkten Einfluss auf Kundenprojekte und Lösungen für bekannte E-Commerce-Brands.
Attio is the CRM built for the AI era. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Solutions team is integral to how we build, grow, and deliver value. We help customers adopt Attio quickly, integrate it smoothly, and unlock lasting impact. With technical fluency and deep empathy, we guide teams through complex use cases, share insights that shape the product, and turn great onboarding into long-term success. We're looking for a Forward Deployed Engineer who is an expert Go To Market Engineer, opinionated, and deeply customer-obsessed — and wants to help reinvent how millions of people work. WHAT YOU'LL DO * Deploy into Attio's highest-value customers to architect, advice, and deploy a best-in-class GTM stack, with Attio at it's core * Design best-practice Attio configurations tailored to each customer's specific business model and GTM motion, from data architecture to integrations to cross-team rollout * Lead and execute time-boxed build projects, delivering real working product: data models, integrations, sequences, workflows, SDK apps * Build and architect custom API integrations and no-code automations (Zapier, N8n, Make, and equivalents) to connect Attio to the rest of a customer's stack * Collaborate with Customer Success Managers as a technical counterpart to jointly manage shared accounts * Identify where customers are blocked, under-adopted, or leaving value on the table * Bring customer insight back to our Product team, acting as a a direct line between our hiest value customers and our roadmap * Design a range of engagement models — from Expert referrals to self-serve playbooks — that match support to customer need, and continuously iterate on how Attio delivers world-class outcomes at scale WHAT YOU'LL BRING * 2+ years as a developer, GTM engineer, or in a technical solutions role * Deep hands-on experience with GTM tooling — you understand how sales, CS, and marketing teams operate and what actually matters to the people using these tools every day * Technical depth and ability to architect API integrations live in customer meetings * Hands-on experience building with AI coding platforms (Claude Code, Cursor, or equivalents) to ship JavaScript and create reusable internal tooling * A genuine curiosity about the AI landscape and a habit of experimenting early — you're not waiting for the use case to be obvious before you start building * Strong command of the no-code/low-code integration stack — N8n, Zapier, Make — and the ability to quickly form a credible opinion on an unfamiliar tool * Comfort with data infrastructure concepts: ETL, reverse ETL, CDPs, tools like Segment, Rudderstack, and Polytomic WHAT DOES THE HIRING PROCESS LOOK LIKE? 1. 30-minute introductory phone call with a member of our Talent team 2. 30-minute interview with our hiring manager 3. Case study interview 4. Panel interviews with relevant stakeholders 5. 30-minute closing conversation with our CEO 6. Offer stage