Top Tech Jobs & Startup Jobs

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.

Prototype and productionize machine learning solutions using Python, PySpark, and Spark; design and maintain ETL pipelines; train models (including NLP/LLM methods); implement data science features in a production Scala codebase; collaborate with product and platform teams, run experiments, and support customer-focused POCs and deployments.