Role Description You own NaroIQ's commercial relationships across the entire ETF value chain. On the demand side, you open and grow relationships with fund initiators and ManCos who want to enter the ETF market. On the supply side, you build and deepen partnerships with custodians, market makers, and distribution platforms: the counterparties every ETF depends on. This is a rare combination. Most commercial roles in finance cover either client sales or partnerships with intermediaries. Here, you own both, because at NaroIQ, growth and value chain development are two sides of the same motion: every new ManCo we onboard needs to plug into a working set of ETF counterparties from day one, and every partner relationship we deepen compounds the value we can offer the next ManCo. You will gain deep exposure to the full ETF value chain, translate what you learn back into our platform, and build the commercial playbook for a market that is still being defined. Qualifications - 3–6 years of experience in Commercial, partnerships, or business development roles; ideally in ETFs, capital markets, fund operations, or FinTech infrastructure. - Fluency in the ETF value chain or the appetite and ability to build it quickly across ManCos, APs, MMs, custodians, and brokers. - Strong commercial instinct: ability to run a structured sales cycle, qualify opportunities, and close. - Equally strong relationship instinct: ability to hold long-term partnerships with senior counterparties on both sides of the value chain. - Structured, self-directed working style; comfort operating with ambiguity and high ownership. - Willingness to travel for in-person relationships across European markets. - Fluent in English and German; additional languages are highly welcomed. - Existing network in the financial services industry. Requirements - Map and prioritize the European ManCo and fund initiator landscape; build and run a targeted outbound motion that consistently opens new conversations together with our marketing colleague. - Own the full sales cycle for new ManCo relationships; from first contact, through structured discovery and outreach, to signed commercial agreements. - Run sharp discovery: understand each ManCo's product strategy, operating model, and internal constraints and translate that into a concrete path to launching ETFs on NaroIQ. - Take end-to-end ownership of relationships with custodians, market makers, APs, distribution platforms, and exchanges, from first contact to ongoing partnership. - Run discovery with counterparties: identify bottlenecks in the current ETF value chain, understand their economics, and structure partnership models that work for both sides. - Negotiate commercial terms and integration roadmaps; operationalize partnerships so every new ManCo we onboard plugs into a working value chain from day one. - Identify the processes that sit between issuers and value chain partners, and structure their commercial and distribution potential. - Build deep, structured knowledge of ManCos, APs, MMs, custodians, and distribution platforms, their business models, technical interfaces, and regulatory constraints. - Translate partner and customer requirements into concrete product input: write clear briefs, prioritize with Product, coordinate delivery, and close the loop with counterparties. - Represent NaroIQ externally at industry events, counterparty meetings, and customer reviews. - Contribute to strategic projects that shape NaroIQ's position in the European ETF market. Benefits - High Ownership: Full responsibility for your work with freedom and accountability. - No Bullshit, No Ego: Focus on doing the right thing without politics or competing agendas. - Flexibility: Remote-friendly work environment allowing for personal time management. - Real-life moments: Opportunities for quarterly offsites or in-person team sessions. - Hire for Spikes: Building a team of experts in diverse areas. - Customers First: Commitment to thoughtful engineering for user experiences. - Default to Rethink: Encouragement to challenge the status quo and innovate. - Personal Treats: Up to €50/month for personal enjoyment through hrmony. - Learning Investment: €1,000 per year for courses, books, coaching, or personal growth. Company Description NaroIQ | Your Partner to Access the ETF Market. At NaroIQ, we are on a mission to empower the European ETF ecosystem. Combining deep fund-market expertise with modern, scalable infrastructure, we enable capital management companies and ETF initiators to embrace the ETF shift without losing control over their existing value chain. We ensure smooth ETF operations through fully automated, end-to-end data management. This lets you focus entirely on product strategy and distribution while we handle the operational complexity.

• Extend the existing AIOps platform to better integrate, observe, and analyze the public cloud environment • Architect, build, and maintain the solution • Validating the solution with the client (demo) • Fixing discovered bugs efficiently and effectively • Working in the agile methodology and collaborating with a team • Supporting teammates • Attending standups with Customer

• Extend the existing AIOps platform to better integrate, observe, and analyze the public cloud environment • Architect, build, and maintain the solution • Validating the solution with the client (demo) • Fixing discovered bugs efficiently and effectively • Working in the agile methodology and collaborating with a team • Supporting teammates • Attending standups with Customer

Role Description Are you a Senior Backend Engineer passionate about building scalable AI-driven systems? Join us at Sigma Software to work on a cutting-edge platform that transforms how large-scale engineering organizations manage and analyze complex technical data. This is a remote position with flexible locations across Europe, Ukraine, and LATAM. You will be part of an innovative team leveraging AI, semantic graphs, and distributed processing to deliver impactful solutions. We are developing a next-generation AI-powered Knowledge Base and Gap Analysis platform for SysML-based engineering environments. The system enables large-scale engineering organizations to ingest, structure, analyze, and reason over complex MBSE artifacts and technical documentation. It supports both cloud and secure classified environments, improving traceability, identifying gaps, and enhancing decision-making in mission-critical projects. - Design and develop scalable AI-powered backend systems for SysML-based engineering environments - Build and maintain distributed data ingestion and ETL pipelines for large-scale engineering artifacts and technical documentation - Develop and optimize LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution - Implement AI agents and multi-agent orchestration workflows - Design and improve RAG-based architectures and semantic retrieval pipelines - Develop graph-based knowledge representation and traceability analysis solutions - Work with graph databases, graph processing libraries, and semantic relationship modeling - Build and optimize distributed data processing workflows using Apache Spark - Collaborate with cross-functional engineering teams to integrate AI capabilities into platform services - Design scalable and high-performance APIs and backend services - Improve system reliability, scalability, observability, and performance across distributed environments - Participate in architecture discussions and technical decision-making processes - Contribute to cloud-native infrastructure and deployment workflows - Support deployments in secure, air-gapped, or classified environments when required - Create and maintain technical documentation and engineering best practices Qualifications - At least 5 years of commercial experience in software engineering, Data Engineering, or AI systems development - Strong production experience with Go, Rust, or Scala - Hands-on experience building distributed and scalable systems - Practical experience with LLM-based applications and AI integrations - Experience building AI agents and multi-agent systems - Strong understanding of RAG architectures and semantic retrieval workflows - Hands-on experience with graph technologies, graph libraries, or graph databases - Experience with Apache Spark and distributed data processing - Strong understanding of ETL pipelines and large-scale data ingestion workflows - Experience with cloud-native infrastructure and distributed environments - Practical experience with backend platform development and API integrations - Good understanding of semantic search, entity resolution, and metadata extraction - Experience working with highly scalable and high-performance systems - Strong problem-solving and communication skills - Upper-Intermediate level of English Requirements - Background in Data Engineering - Experience with Knowledge Graphs and graph-based semantic modeling - Familiarity with MBSE or SysML environments - Experience supporting air-gapped or classified environments - Experience with vector databases and embedding pipelines - Experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure Benefits - Analytical mindset with strong problem-solving skills - Ability to work independently and in a distributed team - Adaptability to secure and classified environments - Strong communication and collaboration abilities - Passion for AI-driven engineering solutions