Jobs at Quantifind

Design user interfaces and workflows for enterprise, data-heavy SaaS products. Own feature surfaces from research through high-fidelity specs, run customer sessions, iterate on designs, and scale a design system. Partner with Product and Engineering to ensure technical feasibility and consistent reusable components. Leverage AI tools to accelerate research and prototyping.

Manage and automate infrastructure as code for datacenter and cloud deployments. Build, deploy, and maintain scalable, secure Linux-based systems using containers, orchestration, configuration management, monitoring, and release engineering tools. Collaborate with platform, data science, security, and product teams to improve reliability, performance, and deployment practices.

Design, build, and operate scalable, secure infrastructure using IaC principles. Automate deployments, manage on-prem and cloud fleets, improve observability and performance, and collaborate with cross-functional teams to productionize services and ML modules.

Manage and automate infrastructure for on-prem and cloud deployments using infrastructure-as-code. Build, deploy, and operate services (containers, orchestration, fleet management), improve observability and availability, support security practices, and collaborate with cross-functional teams to scale and operationalize ML and web applications.

Define and build Quantifind's sanctions compliance product: conduct customer discovery, set product strategy and MVP, prioritize roadmap, write requirements, work with engineering and data science, support sales enablement, and ensure solutions meet regulated compliance workflows and auditability needs.

Serve as primary technical contact for customer issues, troubleshoot APIs, UI, platform and data problems, own ticket lifecycle, perform regression testing and release validation, collaborate with Product and Engineering, develop documentation, and shape support workflows and SLAs.

Serve as a client-facing VP advising on financial crime strategy, sanctions screening, payments risk, and solution design. Support complex sales, shape product roadmaps, produce thought leadership, and enable GTM by translating market needs into scalable offerings and driving revenue outcomes.

Perform end-to-end data science work: exploratory analysis, feature engineering, training and validating ML models (including NLP and LLM-assisted tasks), writing data pipelines in Python/PySpark, and productionizing models in a Scala codebase while collaborating with product and engineering teams.

Lead solutions marketing for financial-crime risk management SaaS: craft messaging and positioning, build solution-to-market plans, create sales collateral and thought leadership, run multi-touch campaigns, set KPIs and track performance, collaborate with product, sales, and analysts to drive adoption and pipeline.

Own, build, and optimize the company website as a growth channel: publish pages, maintain CMS and components, drive SEO/AEO and search discoverability, monitor performance and Core Web Vitals, ensure security and SOC 2 alignment, integrate with Salesforce and marketing systems, improve UX and conversion, manage backlog and projects, and coordinate cross-functional stakeholders.

Serve as a pre-sales technical expert bridging Quantifind's AI SaaS platform and client needs. Design and present AML/KYC risk solutions, build business cases, lead discovery and workshops, map implementations, coordinate with Product and Engineering, provide product feedback, engage C-suite stakeholders, and support deals through production while maintaining domain and ML knowledge.

Build and maintain Quantifind's Apache Spark batch pipeline and platform services to generate risk signals from diverse data. Design scalable algorithms and data structures, implement ETL pipelines, microservices and REST APIs, deploy on Kubernetes, collaborate with Data Science, DevOps and Product, and ensure robust automated unit and integration testing of distributed systems processing terabytes daily.

Build and maintain platform data services and ML infrastructure powering a SaaS product. Work on Hadoop/Spark pipelines, real-time services, Kubernetes/Docker containerized microservices in Scala/Python, design scalable algorithms and ETL pipelines, write automated tests, and collaborate with data scientists, DevOps, front-end engineers, and product managers.

Work directly with government and enterprise clients to architect, integrate, and deploy secure, compliant AI-enabled cloud environments. Build microservices and APIs, manage IaC, CI/CD, containers/orchestration, observability, and platform uptime across commercial and government clouds while meeting accreditation standards.

Support go-to-market execution for AI-driven risk intelligence: develop messaging, create sales enablement and thought-leadership content, execute multi-touch campaigns, maintain marketing operations and reporting, and support product launches and cross-functional alignment.

Translate real-world problems into quantitative formulations and develop NLP and ML solutions (entity resolution, document classification, embeddings, topic modeling, knowledge graphs). Prototype and productionize scalable ML pipelines, work with product and engineering teams, and present technical findings to technical and non-technical stakeholders. Support client-facing engagements at financial institutions to detect financial crime.

Rapidly prototype and develop AI-driven applications across backend, frontend, data, and cloud. Collaborate with stakeholders and clients, perform QA and TDD, evolve prototypes to production, and use agentic and multi-agent AI workflows responsibly in regulated fintech environments.

Design, build, and maintain Quantifind's Apache Spark batch pipelines and backend platform that generate risk signals from diverse data sources. Implement scalable algorithms, data services, ETL pipelines, and microservices; deploy on Kubernetes and optimize storage/caching and distributed processing. Collaborate with Data Scientists, DevOps, Product, and Sales to deliver performant, testable systems processing terabytes daily.

Design and own product surfaces and features for an enterprise, data-heavy SaaS platform. Conduct research and customer sessions, produce high-fidelity specs, scale the design system, create reusable components, and collaborate with Product and Engineering to deliver user-centric, technically feasible workflows while leveraging AI tools to accelerate design.

Coordinate end-to-end recruiting logistics including complex interview scheduling and ATS upkeep; manage on-site office operations and vendor relationships; plan and execute company events, offsites, and travel logistics; provide executive administrative support; support onboarding, compliance, and people operations initiatives to create positive employee experiences in a fast-paced startup.