JUPUS

• You identify key influencers and networks in the German law-firm market • You develop strategic partnerships that generate reach, trust and qualified leads for JUPUS • You build long-term relationships with relevant market stakeholders • You develop new referral and growth channels in the legal market • Establish and prioritize a relevant partner landscape in the German legal market • Identify and approach potential partners such as law-firm software providers, legal IT service providers, regional and national bar associations, and law-firm–adjacent service providers • Develop concrete cooperation models and joint go-to-market initiatives • Build robust relationships with decision-makers and key referrers • Plan and implement initial pilot partnerships and referral models • Participate in relevant industry events and networking formats • Closely collaborate with Sales, Marketing and Leadership • Maintain CRM, track performance and continuously develop existing partnerships

• Own the quality of the Platform: you have clear ownership over platform quality across squads and therefore are functionally responsible for Quality in the entire Engineering department, meaning you take care of Quality as a discipline in terms of prioritization, standards, processes, mentoring, reviews, roadmap execution, etc. • Customer Care: you own the quality of the platform beyond manual or automated tests. You are aware of customer success metrics and are able to gather customers feedback and are able to prioritize it and bring suggestions on action points. • Own and evolve Quality Engineering initiatives: You take ownership of existing QE initiatives such as traceability, quality metrics, defect observability, CI improvements, and testing processes, iterating on them so they become useful, reliable, and actionable. • Make software quality visible: You turn quality data into clear insights, dashboards, and signals that help teams understand the health of the application and act on issues before they affect users. • Improve end-to-end test automation: You design, implement, and continuously improve E2E test automation to increase confidence in releases and reduce manual effort across the engineering organization. • Strengthen testing across the stack: You improve integration testing, support better unit testing practices, and ensure testing is effectively embedded into CI and development workflows. • Own the Quality Engineering roadmap: You identify what is business-critical, what is slowing teams down, and where quality risks are highest, then translate those insights into a practical QE roadmap. • Collaborate with Engineering teams: You work across the engineering organization to improve quality processes while keeping shipping speed high. • Build a Quality Assistance culture: You help developers own quality by enabling better testing practices, improving feedback loops, and creating processes that support teams rather than acting as a gatekeeper. • Lead and support the QA chapter: You manage and mentor the existing QA team, helping them grow while setting clear standards for how Quality Engineering should operate at JUPUS.

• Development and implementation of our partnership strategy for Germany in a prioritized plan • Identification of relevant partner groups in the legal ecosystem – e.g., IT service providers, service providers, associations, multipliers, and relevant events • Development of concrete GTM motions, pilot projects & cooperation models for viable partnerships with real market and revenue impact • Market and partner mapping in the German legal ecosystem • Building and prioritizing a partner pipeline • Development of cooperation & incentive models • Independent outreach, relationship building & negotiation • Establishment of pilot partnerships and GTM test runs • Definition of a scalable partnership operating model • CRM management, performance tracking & feedback loops • Building local referral networks • Close collaboration with sales, leadership & internal stakeholders

• Define and execute the AI roadmap across all AI products • Lead, mentor, and grow the AI team, fostering a high-performance, execution-focused culture • Architect and implement production-ready generative AI systems across voice, chat, and document workflows • Contribute hands-on (≈40%) to core AI systems, including architecture, implementation, and optimization • Design and oversee agentic workflows, RAG systems, and LLM-based architectures across products • Establish and scale evaluation, testing, and observability frameworks for AI systems • Define and enforce best practices for AI development, deployment, and iteration • Ensure reliable delivery and fast iteration within a small, high-impact team • Partner closely with product, design, and engineering teams to integrate AI into real product workflows • Translate complex AI capabilities into clear, practical product features • Act as the AI authority within the company, supporting teams in adopting and applying AI effectively • Communicate AI strategy and progress clearly to both technical and non-technical stakeholders

• Own and drive complex features and systems across our Application • Lead implementation of high-impact technical initiatives end-to-end • Be on the forefront of technical guidelines and code quality • Improve system architecture, performance, and scalability • Work closely with AI Engineers to bring AI systems into reliable production environments • Build and maintain backend services, APIs, and frontend applications • Identify and resolve performance bottlenecks across application and database layers • Maintain strong testing practices including unit, integration, and end-to-end testing • Collaborate across teams to drive technical decisions and execution • Implement and evangelize internally best practices, new technologies and techniques

• Develop, expand, and optimize our tech and tool landscape (especially HubSpot) across the entire revenue funnel, from initial marketing leads to contract renewals • Work closely with your team members and the Head of Data to enable teams, enhance functionality and automation for scalable processes • Build and further develop efficient RevOps processes, acting as the interface between Customer Success, Sales, and Marketing • Identify and implement best practices for scaling • Analyze, streamline, and continuously improve existing processes and systems • Collaborate closely with cross-functional teams (Sales, CS, Marketing) to ensure an excellent customer experience

• We’re seeking a driven AI Engineer to join one of the fastest-growing legal tech companies in Europe as we expand our core AI team delivering ‘Marie’, our AI phone assistant. • This role focuses on applied generative AI for voice products in a production environment, building and extending voice based systems systems through telephony systems, agentic workflows, and many further AI features used directly by lawyers. • Reporting to the AI Lead, you’ll work hands-on from architecture to implementation, collaborating with the Head of Engineering and product teams to ship reliable AI functionality while improving our voice and AI infrastructure, observability, and evaluation workflows. • For an engineer with practical experience building and deploying generative voice AI systems, this is an opportunity to take technical ownership of Marie, ship quickly, and shape how AI evolves across the company. • Your primarily goal will be to maintain and expand our Phone AI system. Expect strong technical ownership, fast iteration, and a clear focus on building practical AI systems that improve productivity for law firms. • Architect and implement production-ready generative voice AI solutions within our product suite • Develop voice-based AI systems, integrating speech technologies such as ASR/STT and TTS into conversational workflows • Design and optimize real-time voice agent workflows, balancing latency, reliability, and conversational quality • Implement evaluation, testing, and observability for AI systems to ensure reliability and continuous improvement • Establish best practices for AI development, testing, and deployment across products • Handle AI development hands-on as a core technical contributor within a small, fast-moving team where engineers own problems end-to-end and ship quickly. • Work closely with product, design, and engineering teams to integrate AI capabilities into real product workflows. • Translate complex AI concepts into practical product features and communicate them clearly to both technical and non-technical stakeholders.

• Build product features for Marie, particularly within the user-facing dashboard and workflows • Develop self-service capabilities that allow customers to manage and configure their AI phone assistants • Implement new features involving AI and ASR together with an AI Engineer • Turn product ideas into quick proof-of-concepts and production-ready features • Work across the stack using Python/Django, cloud infrastructure, and Vue.js • Maintain strong testing practices including unit, integration, and end-to-end testing • Optimize out systems in terms of reliability, performance, and cost • Collaborate closely with Product and AI Engineering to ship features quickly and improve the product experience