Top Tech Jobs & Startup Jobs

Own production machine learning environments and MLOps infrastructure. Design and maintain pipelines for data ingestion, feature engineering, model training, deployment, and monitoring. Productionize ML and GenAI services, manage feature stores and search infrastructure, automate CI/CD, and implement observability, security, patching, and cost optimization. Collaborate with development, QA, operations, and data science teams while participating in 24x7 on-call support.

Design, architect, and deliver scalable full-stack software from concept through production. Partner with Product to shape technical solutions, solve ambiguous problems, integrate AI and LLM capabilities, and maintain high standards through testing, observability, refactoring, code reviews, and deployments. The role requires strong TypeScript and Node.js expertise, deep React and Next.js frontend experience, and backend architecture skills with SQL and PostgreSQL at scale.

The Senior Data Scientist will conduct product analysis, build advanced models and analytics tools, evaluate A/B tests, develop automated dashboards, and generate recommendations for product strategy. The role partners with business stakeholders and Engineering to improve data infrastructure and governance, communicate statistical insights, and support data-driven decisions across Product, Marketing, and Finance.

Design and develop scalable Python browser automation services using Kubernetes, Playwright, Chromium, and stealth browsing technologies. Build web scraping solutions, messaging integrations, caching systems, and monitoring metrics while optimizing performance and reliability. Debug complex issues, improve code quality through testing and reviews, collaborate cross-functionally, document architecture, and ensure security and privacy compliance.

Leads technical design and development for scalable .NET platform services. Responsibilities include requirements analysis, coding, architecture, testing, documentation, design and code reviews, mentoring developers, selecting frameworks and design patterns, coordinating across teams, managing development tools, and communicating project risks. The role requires strong experience with C#, MVC, SQL Server, RESTful services, Web API, database design, web concepts, and software development leadership.

Architect, develop, and maintain scalable data warehouses and ETL processes. Integrate business and third-party data using Python and Airflow, support dimensional modeling, optimize SQL queries, and maintain reliable business intelligence infrastructure using enterprise data warehouse and visualization platforms.

Leads security across a multi-product portfolio spanning AWS, Azure, Kubernetes, APIs, applications, edge infrastructure, and AI/LLM features. Builds security architecture, secure engineering practices, detection and incident response, AI assurance, compliance controls, and third-party risk programs. Owns the security tooling budget, directs penetration testing and bug bounty efforts, and leads a multidisciplinary security team while communicating risk to engineers, executives, and enterprise clients.

Lead onboarding, ongoing training, coaching, and enablement content for a B2B Sales team. Develop playbooks, messaging, call guides, and objection-handling resources; identify skill gaps using performance data; align programs with Sales, Marketing, and Operations; and measure impact through win-back results and sales program win rates.

Own and scale Bold’s affiliate marketing channel by managing approximately 3,000 partners across Impact.com, Commission Junction, and Everflow. Build onboarding, reporting, review, and communication processes; analyze performance KPIs; recruit and reactivate partners; improve partner results; support platform decisions; and use AI tools for analysis, reporting, communication, and automation. The role requires independent ownership, cross-functional collaboration, quarterly industry event attendance, and transition of channel management in-house.

Analyze and optimize systems, workflows, data models, and platform integrations across business units. Translate requirements into technical specifications, coordinate integration projects with offshore teams and vendors, troubleshoot operational incidents, lead UAT, develop reporting and documentation, and provide technical insights that support business growth and platform scalability.