MAIA

• Full ownership of platform engineering. • Operate and improve infrastructure. • Own CI/CD pipelines and deployment workflows. • Maintain observability stack and improve security fundamentals. • Implement technical controls for ISO 27001 certification.

Role Description We are looking for someone ready to take full ownership of platform engineering for the first time at company scale, as our first dedicated Senior DevOps / Platform Engineer (f/m/x). This is a step up role for someone who has spent the last few years owning infrastructure inside a small engineering team and is now ready to be the person who runs the entire platform area independently. - Make MAIA's platform reliable, secure, auditable, and developer-friendly. - Take full ownership of our infrastructure: Hetzner first, AWS, GCP, and Azure for selected services. - Own our CI/CD pipelines (GitHub Actions) and deployment workflows. - Build, improve and maintain our observability stack (Grafana, Loki, Sentry, PostHog). - Operate and improve our self-hosted Postgres setup. - Implement and maintain our security fundamentals: IAM, secrets management, TLS, vulnerability scanning, and patch management. Qualifications - Solid experience running production systems on Linux servers. - Strong working knowledge of Docker and Docker Compose in production. - Hands-on PostgreSQL operations experience. - Proven experience with CI/CD pipelines and Infrastructure as Code. - Working experience with an observability stack such as Grafana and Loki. - Strong security fundamentals. - Fluent in English; German is a plus. Requirements - Strong ownership mentality. - People enjoy working with you due to your interaction style. - Pragmatic builder who improves systems without unnecessary complexity. - AI is part of how you work and you actively explore it. - Prioritize based on risk and business impact. - Comfortable in a fast-moving startup environment. - Clear communication with both technical and non-technical stakeholders. Nice to have - Experience with Hetzner specifically. - Experience with self-hosted Supabase and Postgres-based platforms. - Experience with ISO 27001 implementation. - Experience with NixOS. - Experience with SRE practices. - Familiarity with multi-cloud usage patterns. Benefits - The opportunity to build and own an entire platform engineering discipline. - Short decision-making paths and real ownership. - Direct impact on product reliability, security posture, and company growth. - Flexible working hours and fully remote. - Access to a WellPass fitness membership. - Competitive salary of 75,000 to 85,000 EUR and VSOP participation opportunities. - Remote-first company culture with team events and planning sessions. Company Description MAIA is the AI platform built for industrial companies, focusing on integrating with real engineering workflows and understanding complex technical documents. - Our team consists of structured organizational talents, creative minds, and technology-enthusiastic engineers. - We are driven by our passion for innovation.

• Build and evolve MAIA's core product capabilities • Focus on backend and AI systems, including RAG pipelines and LLM integrations • Collaborate closely with Product, DevOps, and customer-facing teams • Design, implement, and ship features from discovery through production rollout

• You build and evolve MAIA's core product capabilities. • Your primary focus is backend and AI systems - RAG pipelines, retrieval strategies, agentic workflows, and LLM integrations. • You also implement the frontend changes needed to ship features end-to-end, while backend remains your main area of work. • You design, implement, and ship features from discovery to production rollout, with a strong focus on backend and AI functionality. • You build and iterate on RAG pipelines, retrieval strategies, and LLM integrations, making pragmatic tradeoffs across quality, latency, and cost. • You build evaluation approaches for LLM features - quality gates, regression detection, and observability that makes non-deterministic systems debuggable. • You implement frontend changes needed to ship features end-to-end - simple, intuitive UI work that unblocks delivery, typically a small portion of total effort. • You proactively scout new technologies and approaches, translate findings into production-ready solutions, and push the team's understanding of what is possible. • You collaborate closely with Product, DevOps, and customer-facing teams to turn requirements into high-quality, maintainable software.

• Build and evolve MAIA's core product capabilities • Focus on backend and AI systems, RAG pipelines, and LLM integrations • Design, implement, and ship features from discovery to production rollout • Build and iterate on evaluation approaches for LLM features • Scout new technologies and push the team's understanding • Collaborate closely with Product, DevOps, and customer-facing teams

• Build and evolve MAIA's core product capabilities • Focus on backend and AI systems • Design, implement, and ship features from discovery to production rollout • Build evaluation approaches for LLM features • Implement frontend changes needed to ship features end-to-end • Scout new technologies and approaches • Collaborate closely with Product, DevOps, and customer-facing teams

Role Description We are looking for an Applied AI Engineer (f/m/x) to join our engineering team - someone who ships production-grade AI features end-to-end, from retrieval pipelines and agentic workflows to the APIs that power them. - Build and evolve MAIA's core product capabilities with a focus on backend and AI systems. - Design, implement, and ship features from discovery to production rollout, emphasizing backend and AI functionality. - Build and iterate on RAG pipelines, retrieval strategies, and LLM integrations, making pragmatic tradeoffs across quality, latency, and cost. - Build evaluation approaches for LLM features, including quality gates, regression detection, and observability. - Proactively scout new technologies and approaches, translating findings into production-ready solutions. - Collaborate closely with Product, DevOps, and customer-facing teams to turn requirements into high-quality, maintainable software. Qualifications - Strong backend engineering skills in TypeScript or another strongly typed language (Go, Java, Rust). - Proven experience building and shipping production REST APIs. - Strong SQL skills, ideally with PostgreSQL in production. - Hands-on experience building or operating LLM applications, ideally with exposure to RAG systems and retrieval concepts. - Commercial experience with at least one relevant LLM framework and at least one vector database. - Practical experience debugging production systems using observability tooling (logs, metrics, tracing). - Foundational understanding of cloud and DevOps concepts. - Ability to follow secure development best practices in day-to-day engineering work. - Fluent in English; German is a plus. Requirements - Strong ownership mentality - take responsibility end-to-end without needing to be managed. - People enjoy working with you due to your interaction style. - AI is part of how you work; you actively explore and experiment with models, prompts, agents, and workflows. - Pragmatic builder - ship solutions at the right level of complexity for the stage. - Prioritize based on business impact and customer value. - Comfortable working in a fast-moving startup environment with ambiguity and shifting priorities. - Clear communication with both technical and non-technical stakeholders. Nice to have - Experience with Supabase. - Experience with document analysis pipelines and preprocessing for retrieval. - Experience with automated evaluation and testing for LLM features. - Experience with LLM tracing and analytics. Benefits - A central role in the engineering team of a well-funded, fast-growing AI startup. - Short decision-making paths, real ownership, and a trusted team. - Direct impact on product quality, AI capability, and company growth. - Flexible working hours and fully remote in Germany. - Access to a WellPass fitness membership for physical and mental wellbeing. - Competitive salary of 75,000 - 85,000 EUR and VSOP (Virtual Stock Option Plan) participation opportunities. - Remote-first company culture with team events and planning sessions covered. Hiring Timeline We are aiming to have this role filled by May 2026. The process consists of three stages: an intro call (30min), a technical interview (90min), and a final conversation with leadership. If this role sounds like the right next step for you, we would love to hear from you.

Role Description We are looking for a Fullstack Applied AI Engineer (f/m/x) to join our engineering team - someone who ships production-grade AI features end-to-end, from retrieval pipelines and agentic workflows to the APIs and UI changes that bring them to life. - Build and evolve MAIA's core product capabilities with a primary focus on backend and AI systems. - Design, implement, and ship features from discovery to production rollout, emphasizing backend and AI functionality. - Build and iterate on RAG pipelines, retrieval strategies, and LLM integrations, making pragmatic tradeoffs across quality, latency, and cost. - Build evaluation approaches for LLM features, including quality gates, regression detection, and observability. - Implement frontend changes needed to ship features end-to-end, focusing on simple, intuitive UI work. - Proactively scout new technologies and approaches, translating findings into production-ready solutions. - Collaborate closely with Product, DevOps, and customer-facing teams to turn requirements into high-quality, maintainable software. Qualifications - Strong backend engineering skills in TypeScript or another strongly typed language (Go, Java, Rust) with solid TypeScript fundamentals. - Proven experience building and shipping production REST APIs. - Strong SQL skills, ideally with PostgreSQL in production. - Hands-on experience building or operating LLM applications, ideally with exposure to RAG systems and retrieval concepts. - Commercial experience with at least one relevant LLM framework and at least one vector database. - Practical experience debugging production systems using observability tooling (e.g., Grafana, Sentry, PostHog). - Solid React fundamentals and the ability to implement and maintain frontend components with good engineering quality. - Foundational understanding of cloud and DevOps concepts. - Ability to follow secure development best practices in day-to-day engineering work. - Fluent in English; German is a plus. Requirements - Strong ownership mentality - take responsibility end-to-end without needing to be managed. - People enjoy working with you due to your interaction style. - AI is part of how you work; you actively explore and experiment with models, prompts, agents, and workflows. - Pragmatic builder - ship solutions at the right level of complexity and explain your choices. - Prioritize based on business impact and customer value. - Comfortable working in a fast-moving startup environment with ambiguity and shifting priorities. - Communicate clearly with both technical and non-technical stakeholders. Nice to have - Experience with Supabase. - Experience with document analysis pipelines and preprocessing for retrieval. - Experience with automated evaluation and testing for LLM features. - Experience with LLM tracing and analytics (e.g., Langfuse). - Technical leadership: mentoring, setting standards, or leading cross-cutting initiatives. Benefits - A central role in the engineering team of a well-funded, fast-growing AI startup. - Short decision-making paths, real ownership, and a trusting team environment. - Direct impact on product quality, AI capability, and company growth. - Flexible working hours and fully remote in Germany. - Access to a WellPass fitness membership for physical and mental wellbeing. - Competitive salary of 75,000 - 85,000 EUR and VSOP (Virtual Stock Option Plan) participation opportunities. - Remote-first company culture with team events and planning sessions covered. Hiring Timeline - Aiming to fill this role by May 2026. - The process consists of three stages: an intro call (30min), a technical interview (90min), and a final conversation with leadership. - We move quickly and will keep you informed at every step.

• Du verantwortest den gesamten New Business Sales Cycle – von der Outbound-Akquise über Discovery, Demo und Proof of Concept bis zur Verhandlung und dem Abschluss von Jahresverträgen. • Du baust deine eigene Pipeline von Grund auf: proaktiver Outbound über LinkedIn, E-Mail, Telefon und Events. • Inbound-Leads und SDR-Unterstützung sind ein Bonus – keine Voraussetzung. • Du führst strukturierte Discovery- und Qualifizierungsgespräche nach MEDDPIC, navigierst komplexe Buying Center im industriellen Mittelstand und verschaffst dir Zugang zu Economic Buyers. • Du entwickelst überzeugende Business Cases auf Basis von Value Selling – ROI, Zeitersparnis und Produktivitätsgewinne für deine Prospects klar und nachvollziehbar. • Du verantwortest den PoC-Prozess: eigenständige Organisation und Durchführung als strukturierter Schritt auf dem Weg zum Abschluss. • Du gestaltest MAIAs Sales Motion aktiv mit. Prozesse, Playbooks, Messaging - du baust es auf Basis dessen, was im Markt wirklich funktioniert. • Du bist die Brücke zwischen Markt und Produkt: Einwände, Feature-Gaps, Wettbewerbssignale, Positionierungserkenntnisse – du bringst sie zurück und machst sie verwertbar.

Role Description Werde Teil unseres Teams und baue mit uns die führende Plattform für KI-gestütztes Wissensmanagement in der europäischen Industrie! Wir suchen eine erfahrene Persönlichkeit, die unser Team als Founding AE (w/m/x) verstärkt. Deine Mission: MAIA vom Founder-led Sales hin zu einer skalierbaren, wiederholbaren Go-to-Market-Bewegung zu führen. - Du verantwortest den gesamten New Business Sales Cycle – von der Outbound-Akquise über Discovery, Demo und Proof of Concept bis zur Verhandlung und dem Abschluss von Jahresverträgen. - Du baust deine eigene Pipeline von Grund auf: proaktiver Outbound über LinkedIn, E-Mail, Telefon und Events. - Du führst strukturierte Discovery- und Qualifizierungsgespräche nach MEDDPIC. - Du entwickelst überzeugende Business Cases auf Basis von Value Selling. - Du verantwortest den PoC-Prozess: eigenständige Organisation und Durchführung. - Du gestaltest MAIAs Sales Motion aktiv mit. - Du bist die Brücke zwischen Markt und Produkt. Qualifications - Muttersprachliche Deutsch (C2) – unverzichtbar für den Vertrieb an Mittelstands- und Industrieunternehmen im DACH-Raum. - Fließendes Englisch für die Teamkommunikation und internationale Kunden. - Mehrjährige Erfahrung im B2B-SaaS-Vertrieb, idealerweise in einem Startup oder Scale-up. - Mehrjährige Erfahrung mit B2B SaaS Frameworks wie MEDDPICC. - Nachgewiesene Erfolge beim Abschluss fünfstelliger Jahresverträge. - Erfahrung in der Steuerung komplexer Sales Cycles mit mehreren Stakeholdern. - Starke Kommunikationsfähigkeiten und sicheres Auftreten auf C-Level. - Erfahrung mit erklärungsbedürftigen, komplexen Produkten. Requirements - Du wartest nicht auf Leads oder Anweisungen – du handelst proaktiv. - Menschen arbeiten gerne mit dir zusammen. - Strukturiert und datengetrieben: Du arbeitest mit klaren KPIs und pflegst ein sauberes CRM. - KI ist Teil deiner Arbeitsweise. - Du priorisierst nach Business Impact und Kundenwert. - Du arbeitest souverän in Ambiguität. Benefits - Echte Ownership: Die Möglichkeit, MAIAs gesamte Sales-Maschinerie von Grund auf aufzubauen. - Kurze Entscheidungswege: Direkter Zugang und Zusammenarbeit mit den Gründern. - Direkter Impact: Auf Revenue, Produktausrichtung und Unternehmenswachstum. - Attraktive Vergütung: Attraktives OTE 70/30 Fix-Variable-Split, ungedeckelt. - WellPass-Mitgliedschaft für Sport, Fitness und mentale Gesundheit. - Team-Events: Wir bringen das gesamte Team mehrmals im Jahr zusammen. - Flexibilität & Remote-first: Flexible Arbeitszeiten & Remote-Mitarbeitende sind ein selbstverständlicher Teil unserer Arbeitsweise.