• Leading four Regional Solutions Engineering Managers directly (AMER, EMEA North, EMEA South, Channel/SMB), with matrix functional oversight of emerging-markets SE capability in LATAM and APAC • Designing and executing the global SE operating model: AE-aligned coverage by segment and a clear career path from IC through senior management • Partnering with global leaders in Customer Success, Revenue, R&D, Engineering, and others to drive KPIs and achieve OKRs • Developing the SE teams to facilitate technical storytelling and drive the narrative during our pre-sales cycle • Owning accountability for all aspects of the technical evaluation starting in the discovery stage (SS2), progressing through evaluation (SS3), and all the way to business close — for new bookings, expansion, and renewal • Driving the shift to consultative selling: proactive discovery, solution design mapped to customer outcomes, quantified ROI, and post-sale optimization through Customer Success • Championing and leveraging AI to drive SE team productivity including AI coding tools, automated demo and PoC generation, and AI-assisted discovery and solution design to accelerate ramp, improve deal velocity, and free SE capacity for high-judgment work • Strategizing on driving business objectives through our Value Engineering process, which leverages real quantitative customer data • Partnering with our Demo Engineering team to build compelling examples that showcase what our technology has to offer and prove out ROI • Supporting quarterly quota attainment by achieving technical wins on net new business • Implementing best practices and data-driven programs to improve results, including win rates, sales cycle, product adoption, as well as the efficiency of our revenue support functions • Enforcing operational best practices on the team by maintaining consistent communication with customers and partnering with account teams to accurately forecast technical wins • Recruiting, developing, and retaining senior SE talent and a strong management bench • Being a trusted advisor and consultant internally and externally.

Role Description Als AI Solutions Architect nimmst du bei uns eine Schlüsselposition ein: Du bist das entscheidende Bindeglied zwischen unserer strategischen Beratung und der technologischen Umsetzung. Als eine:r der ersten dedizierten Engineering-Hires gestaltest du den Aufbau unserer technischen Umsetzungskraft maßgeblich mit und legst das technische Fundament für Kundenprojekte und Produktentwicklung, mit der klaren Perspektive, daraus mit wachsendem Unternehmen ein Engineering-Team aufzubauen und strategisch zu leiten. Da wir ein junges Unternehmen sind, gibt es bei uns kein starres Silodenken. Deine Rolle lebt von einer dynamischen Aufteilung, die sich mit uns weiterentwickelt: - Architektur & Prototyping (~50%): - Systemarchitektur: Du entwirfst skalierbare End-to-End-Architekturen für KI-Anwendungen (z. B. RAG-Pipelines, Multi-Agenten-Systeme) und planst deren Integration in bestehende IT-Landschaften. - Funktionale Prototypen (PoCs): Du konzipierst und baust Prototypen eigenhändig, um komplexe Use Cases schnell greifbar zu machen und Kundengremien zu überzeugen. - Produktentwicklung: Du gestaltest das technische Konzept und den logischen Aufbau unserer eigenen Software-Tools für Gute Arbeit mit. - Technische Beratung & Delivery (~30%): - Technologie-Evaluierung: Du bewertest Tech-Stacks unabhängig (z. B. kommerzielle APIs vs. self-hosted Open Source, EU-Hosting vs. Hyperscaler) und machst Trade-offs für Entscheider:innen verständlich. - Schnittstelle & Kunden-Steuerung: Du nimmst in den Projekten den technischen Lead ein, übersetzt fachliche Anforderungen in Blueprints und steuerst die Kommunikation mit den internen IT-Fachbereichen der Kunden. - LLMOps & Governance: Du verantwortest Konzepte für Testing, Monitoring und Guardrails und verankerst sie – gemeinsam mit Ethik- und Rechtsexpertise – nach dem Prinzip Compliance by Design (EU AI Act, Datenschutz). - Pre-Sales & Tech-Strategie (~20%): - Sales-Enablement & Scoping: Du begleitest das Gründerteam bei Pitches, übersetzt Kundenwünsche in machbare Tech-Konzepte und steckst die Grenzen dessen ab, was wir technologisch leisten können und wollen. - „Make-or-Buy“-Entscheidungen: Du behältst den Überblick über unsere technische Schlagkraft. Du entscheidest fundiert, wann wir Lösungen selbst entwickeln, wann wir externe Dienstleister oder Tools einkaufen und ab welchem Punkt ein fester interner Teamausbau strategisch notwendig ist. - Tech-Leadership als Perspektive: Du bist der fachliche Sparringspartner für das Gründerteam und gestaltest bei fortschreitendem Unternehmenswachstum das Hiring und die Struktur unseres zukünftigen Engineering-Teams mit. Qualifications - Mindestens 5 Jahre in Software-Engineering, Systemarchitektur oder Data-/ML-Engineering, davon nachweisbare Praxis mit produktiven GenAI-Systemen. - Nachweisbare, praktische Erfahrung mit dem produktiven Einsatz von GenAI (LLMs, RAG-Architekturen, agentische Patterns) in den letzten Jahren. - Du bist absolut sicher im Umgang mit Python sowie modernen Frameworks wie LangChain, LlamaIndex, LangGraph und MCP. - Du entwirfst Architekturen nicht nur auf dem Whiteboard, sondern baust funktionierende Prototypen selbst. - Du kennst dich mit Cloud-Infrastrukturen (AWS, Azure, GCP) ebenso aus wie mit On-Premise-Setups. - Du hast bereits Erfahrung in der Mandatsarbeit oder engen Kundenzusammenarbeit. - Du kannst komplexe Deep-Tech-Themen für das C-Level, Fachabteilungen und Gremien verständlich übersetzen. - Du sprichst Deutsch und Englisch verhandlungssicher. - Du hast ein Gespür für Machbarkeit, kannst Ressourcen richtig einschätzen und hast Lust, perspektivisch die Führung eines wachsenden Engineering-Teams zu übernehmen. - Echter innerer Antrieb für unser Leitbild „Gute KI. Gute Arbeit.“, digitale Souveränität, faire Verteilung von Produktivitätsgewinnen und Mitbestimmung. Requirements - Erfahrung in regulierten oder sensiblen Kontexten. - Tiefere MLOps-Erfahrung. - Erfahrung im Pre-Sales / in der Solution-Strategy für Pitches. - Open-Source-Beiträge oder relevante Publikationen. Benefits - Ein Arbeitsumfeld, das technologische Innovation mit gesellschaftlicher Verantwortung und nachhaltigen Werten verbindet. - Mandate mit Top-Stakeholdern aus Politik, Wirtschaft und Gewerkschaft, hohe persönliche Sichtbarkeit. - Flache Strukturen, die bewusste Abwesenheit von Mikromanagement und echte Verantwortung für deine Accounts und Themen. - Remote-first mit einem Kernteam in Berlin sowie flexiblen Arbeitszeiten, die zu deinem Leben passen. - 30 Tage Urlaub, ein eigenes Weiterbildungsbudget und modernste Arbeitsausstattung. - Ein transparentes Gehaltsband von 90.000 bis 110.000 € brutto p.a. auf Basis einer 40h Woche (je nach Erfahrung). - Die Stelle ist aufgrund unserer agilen Startup-Phase zunächst auf ein Jahr befristet. Eine Entfristung wird bei entsprechender Geschäftsentwicklung ausdrücklich angestrebt.

Role Description We are seeking an experienced and strategic Enterprise Architect and Technical Team Lead to serve as the technical "Mastermind" and primary technical leader for large-scale projects. This role requires exceptional expertise in technical architecture and solution design across diverse software technologies, combined with proven team leadership skills necessary to guide large, multi-disciplinary project teams from concept through successful delivery. Key Responsibilities - Enterprise Solution Architecture - Define the technical vision, strategy, and roadmap for large projects, ensuring alignment with overall enterprise goals and architecture standards. - Lead the design and architecture of highly scalable, secure, and resilient solutions across various software technologies (e.g., Cloud, Microservices, Integration Platforms, automation, Data/AI, etc.). - Act as the subject matter expert and decision-maker on architecture choices, evaluating and selecting the most appropriate technologies for specific business needs. - Establish and enforce architecture governance, design patterns, and development standards to ensure consistency and quality across all development efforts. - Own architecture decision records (ADRs) and ensure technical decisions are documented and traceable. - Technical Team Leadership - Lead and manage large project teams, providing clear technical direction, motivation, and mentorship to senior developers and technical leads. - Oversee the technical implementation and delivery process, ensuring adherence to the architectural design and driving timely completion of project milestones. - Establish review processes and ensure the team maintains high standards for performance, security, and maintainability. - Act as the escalation point for technical challenges, providing hands-on assistance and strategic guidance to unblock the team. - Manage technical debt proactively — balance delivery speed with long-term maintainability. - Foster a culture of engineering excellence through code reviews, pair programming, and internal tech talks. - DevSecOps & Quality Engineering - Champion CI/CD pipelines, automated testing strategies, and Infrastructure-as-Code practices. - Define SLAs, SLOs, and observability standards (logging, monitoring, alerting). - Strategic Business & Delivery Alignment - Work with business and IT stakeholders to translate business objectives and digital service requirements into clear, executable technical specifications. - Guide the team in designing the digital services that enhance the end-user experience and achieve optimal delivery outcomes. - Define the best implementation and deployment strategies. - Proactively identify technical risks, dependencies, and bottlenecks across the entire delivery lifecycle and implement mitigation strategies. Qualifications - Fluent in both Arabic and English. - Extensive experience (15+ years) in software development and solution architecture. - Experience in designing architectures using modern software technologies. - Experience in Networking and System related to software deployment and architecture design. - Proven track record of successfully leading and managing large technical projects. - Demonstrated ability to connect business strategy, technical implementation, and operational delivery across diverse projects. - Communication, negotiation, and stakeholder management skills, with the ability to articulate complex technical ideas to both technical and non-technical audiences. - Hands-on experience with at least one major cloud platform (AWS/Azure/GCP) — ideally certified. - Experience with architecture frameworks (TOGAF, Zachman, or equivalent). - Familiarity with agile/SAFe delivery at scale. - Experience in government or enterprise systems integration projects is a plus. Education - Bachelor’s or Master’s degree in computer science, or a related field. - Relevant professional certifications are highly desirable. Engagement Details - Engagement: Full-time, Permanent - Location: Remote (Egypt/other) - This position is fully remote and supports Dubai, UAE operations. Candidates must be available to work in alignment with UAE business hours. - Language: Arabic, English (Proficiency C1 and C2 Levels)

Title: Staff Software Architect – Mechatronics Infrastructure Location: Milford, Michigan, United States of America Warren, Michigan, United States of America Hybrid Full time job requisition id JR-202612628 Job Description: The Role: GM is seeking a Staff Software Architect to lead architecture, requirements, and verification strategy for mechatronics infrastructure software that underpins our next-generation vehicle electrical architecture and software-defined vehicle platform. This role owns technical direction for one or more strategic infrastructure domains such as communications, diagnostics, controller safety, cybersecurity, programming, or data management. You will translate high-level system needs into clear, scalable, and testable software requirements, guide implementation across teams, and ensure solutions are validated through strong automation. You will also help drive adoption of AI and LLM-based tools to improve design quality, accelerate requirements and test creation, streamline debugging, and increase engineering productivity. What You’ll Do - Lead technical direction and architectural decisions for key mechatronics infrastructure capabilities - Translate ECU and system-level needs into clear software architecture, interface definitions, and verification-ready requirements - Drive traceability from system intent through solution and POD-level requirements, automated tests, and delivered results - Partner across systems, software, validation, and leadership teams to align scope, resolve issues, and guide execution - Define verification strategy and support scalable automation using modern frameworks, CI/CD practices, and reusable patterns - Review requirements, design artifacts, software, and test content to improve quality, testability, and maintainability - Mentor engineers and raise the technical bar through standards, coaching, and reusable methods - Evaluate and scale new tools, frameworks, and AI-enabled workflows that improve coverage, quality, and speed Your Skills & Abilities (Required Qualifications) - Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience - 8+ years of relevant experience in embedded, infrastructure, platform, or automotive software - Strong C++ proficiency and experience with test automation, tooling, or framework development - Deep understanding of embedded software architecture, requirements decomposition, and modern verification practices - Working knowledge of AUTOSAR Classic or similar embedded platforms - Experience with CAN, LIN, Ethernet, UDS, and DoIP, plus familiarity with distributed or service-oriented software concepts such as SOME/IP, DDS, or REST - Proven ability to lead cross-functional technical work, drive complex issues to closure, and communicate clearly with technical and non-technical stakeholders - Experience using AI or LLM tools to improve engineering efficiency, requirements quality, test creation, debugging, or workflow speed What Can Give You A Competitive Edge (Preferred Qualifications) - Master’s degree in a related field - 10+ years of experience in automotive, embedded platform, or software-defined vehicle environments - Experience owning architecture or technical strategy for a major software subsystem or platform capability - Experience scaling test automation frameworks, metrics, dashboards, and CI/CD integration - Familiarity with bench, HIL, SIL, and vehicle test workflows - Experience with diagnostics, flash programming, cybersecurity, controller safety, or core infrastructure platform development - Experience coaching senior engineers or leading across multiple Agile teams - Strong practical use of AI and LLM tools for requirements generation, test development, debugging, and faster development cycles GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.