Jobs at 9fin

Own strategy and execution for AI-powered products, including conversational AI, agentic workflows, legal document extraction, and covenant analysis. Partner with ML engineers, data scientists, legal experts, and customers to define roadmaps, evaluate probabilistic model outputs, improve data and feedback loops, and ensure accuracy, explainability, and responsible AI practices. Lead an engineering squad while translating technical capabilities into value for financial and legal professionals.

Build and maintain cloud infrastructure, infrastructure-as-code modules, CI/CD pipelines, developer portals, and DevOps tooling. Implement AWS multi-account infrastructure, apply cloud security best practices, improve observability and SLI/SLO reporting, and support incident management. The role focuses on enabling a strong DevOps culture and delivering an excellent developer experience through scalable, secure, and reliable platform solutions.

The Senior Product Designer will shape AI-native products for complex financial workflows, partnering with customers, product, engineering, data, and subject matter experts. Responsibilities include user discovery, product strategy, workflow design, AI insight interfaces, prototyping, high-fidelity UI, design-system contributions, and communicating design rationale. The role focuses on trustworthy, precise experiences for sophisticated users working with complex datasets and high-stakes debt-market information.

Build and scale 9fin’s sales enablement function through onboarding programs, sales methodology training, playbooks, persona-based content, sales technology training, change management, and career progression frameworks. Partner with Product and Sales to improve product knowledge, rep adoption, deal execution, and commercial team development across new business, account management, and customer success.

Build and evolve 9fin’s AI platform from the ground up, supporting generative AI, agentic AI, RAG, model serving, embeddings, vector search, and intelligent automation. Develop APIs, SDKs, orchestration layers, deployment pipelines, observability, evaluation, and governance capabilities. Partner with AI and backend engineers to establish scalable architecture, developer tooling, operational standards, and reliable production AI services.

Own the operational engine of 9fin’s Legal Affairs function, including Ironclad CLM, legal intake, playbooks, knowledge management, KPI reporting, outside counsel spend tracking, and legal technology. Partner with the General Counsel on business reviews and cross-functional initiatives such as M&A diligence, trademark management, and regulatory readiness. The role requires building scalable processes, managing projects, improving workflow adoption, and supporting stakeholders across the business.

Deploy 9fin’s AI platform within buy-side investment workflows, including sourcing, underwriting, portfolio monitoring, and relative value analysis. Map client processes, configure AI capabilities, drive user adoption, support champions, monitor usage, and identify expansion opportunities. Translate client feedback into product roadmap input, case studies, workflow evidence, and competitive intelligence. The role requires deep credit investing experience, familiarity with AI-native research tools, strong communication, confidentiality, and cross-functional collaboration.

Own planning, forecasting, reporting, financial modeling, KPI dashboards, SaaS metrics, and business partnering for 9fin. The role supports budgeting, headcount planning, board and investor reporting, variance analysis, commercial decision-making, and leadership communications. It also emphasizes AI and automation, including improving reconciliations, data validation, recurring analyses, reporting workflows, and finance systems. The analyst will partner with commercial, product, operational, talent, and finance stakeholders in a fast-growing SaaS business.

Senior backend engineer responsible for designing and delivering APIs, data processing, automation, and backend services. Leads systems design, proofs of concept, code reviews, mentoring, and cross-functional projects. Builds Python services using FastAPI, Flask, Pydantic, PostgreSQL, AWS Lambda, Docker, and AWS ECS, while improving code quality, documentation, testing, and developer experience.

Lead product strategy and execution for an AI-powered debt markets platform. Define product vision, conduct user discovery, prioritize initiatives, establish success metrics, and guide continuous improvement. Build collaborative squads, communicate technical and financial concepts effectively, influence stakeholders, and manage cross-functional relationships. The role requires an analytical, strategic, collaborative product leader with strong interest in AI and experience building products, preferably in FinTech or B2B SaaS.

Owns the organization’s most complex cross-team engineering problems, including financial data modeling, entity resolution, AI/LLM systems, distributed architecture, scalability, reliability, and observability. The Principal Engineer makes foundational architectural decisions, writes RFCs and production code, establishes engineering standards, identifies technical risks, and mentors senior engineers across Analytics, AI, Platform, and Product Engineering.

Develop high-yield bond covenant research and analytics by reviewing and analyzing bond documentation, writing market and thematic reports, answering client questions, expanding covenant databases, and collaborating with engineering and product teams. The role also involves delivering seminars and representing 9fin at industry events and in the press.

Own the 0-to-1 strategy and execution for 9fin’s external data products, including APIs, data shares, and future cloud delivery mechanisms. Define data packaging, schemas, developer experience, pricing, entitlements, SLAs, and compliance policies. Partner with engineering, analytics, domain teams, Sales, Legal, and enterprise clients to validate products through pilots and launch a solution-selling, usage-based commercial model.

Lead technical vision and architecture for the Core Markets engineering organization. Design scalable backend systems, APIs, and shared platform capabilities; guide architecture across multiple teams; lead cross-team initiatives; and improve reliability, scalability, observability, and developer experience. Partner with AI and Retrieval teams on search and RAG systems, contribute to critical code paths, mentor engineers, and influence technical direction without direct authority.

Design and build generative AI applications for complex financial and legal workflows. Lead the full model lifecycle from experimentation and training through testing, monitoring, and deployment. Apply advanced techniques across information retrieval, knowledge graphs, recommendation systems, statistical modeling, and GenAI. Collaborate cross-functionally, translate business problems into scoped initiatives, mentor teammates, promote AI adoption, and deliver production-ready solutions with strong product impact.

Backend Engineer responsible for designing systems, developing Python backend services, APIs, data processing, automation, and web application functionality. The role includes technical leadership on projects, code reviews, mentoring, experimentation, refactoring, documentation, and collaboration with product, financial, legal, and editorial teams. The engineer will work primarily with Flask, FastAPI, PostgreSQL, AWS, Lambda, Docker, and ECS.

Build production generative AI systems for complex financial and legal workflows. Responsibilities include document understanding, structured information extraction, model lifecycle management, retrieval and context engineering, data validation, evaluation, deployment, and monitoring. The role requires collaboration across teams, mentoring, product focus, and applying advanced AI research to convert legal and financial documents into reliable structured data.

Lead cross-functional engineering projects from system design through deployment, building backend services, APIs, data processing, automation, and web application functionality. Work across Python, TypeScript, React, AWS, and PostgreSQL while mentoring developers, conducting code reviews, improving developer experience, and collaborating with product, design, clients, and domain experts. Own features through iteration and contribute to AI-enabled financial data and workflow products.

Design and build generative AI applications for complex financial and legal workflows. Lead the end-to-end model lifecycle, including experimentation, training, evaluation, monitoring, and deployment. Apply machine learning, information retrieval, knowledge graphs, recommendation systems, and agentic AI techniques. Collaborate across teams, translate business problems into experiments, promote AI adoption, and mentor teammates while delivering scalable, production-ready systems on AWS.

Owns content analytics end to end, including engagement measurement, event instrumentation, audience analysis, content classification, competitive coverage tracking, and editorial attribution. Builds dbt models in BigQuery or similar warehouses and maintains the Omni semantic layer for trusted self-service reporting. Partners with editors to diagnose performance drivers, prioritize coverage, and translate complex analysis into actionable editorial strategy.