Top Tech Jobs & Startup Jobs

Design, build, and maintain automated test suites and frameworks for web apps and APIs. Embed quality across the SDLC, run CI/CD validation, perform performance/security testing, analyze results, support releases, and mentor engineers on automation best practices.

Manage a portfolio of publisher accounts to support performance, retention, and revenue goals. Execute day-to-day account tasks, monitor campaign performance, communicate with partners and internal teams, identify trends, follow processes, and collaborate cross-functionally while building publisher strategy and monetization knowledge.

Produce actionable insights through statistical analysis, experimentation, and behavioral modeling to optimize lifecycle marketing, segmentation, pricing, and monetization. Partner with stakeholders, Analytics Engineering, and ML teams to define data foundations, design A/B tests, build propensity and scoring models, document learnings, and mentor junior analysts. Incorporate agentic analytics to automate recurring analyses.

Lead a centralized bid support and proposal function within Revenue Operations, overseeing end-to-end proposal delivery, feasibility validation, cross-functional deal support, and onshore/offshore team management. Drive process standardization, automation, CRM tracking, and performance metrics to improve win rates and ensure smooth onboarding and transition to delivery. Serve as escalation point for complex, high-value opportunities and coach teams to maintain quality and efficiency.

Design, build, and maintain scalable ETL pipelines and data models for analytics and ML. Ensure data quality, optimize performance, enforce governance and security, and collaborate with stakeholders to deliver reliable, production-ready data for reporting and data science.

Build responsive, high-performance front-end UI using React and Next.js. Convert designs to accessible, maintainable HTML/CSS/JS, write unit and integration tests, debug cross-browser issues, optimize performance, collaborate with back-end and designers, participate in code reviews, document changes, and help plan project deliverables.

Lead business-focused data science by performing rigorous analysis, experimentation, and modeling to drive lifecycle marketing, product, and monetization decisions. Build segmentation, propensity scores, and experimentation frameworks; collaborate with analytics engineering and ML teams to produce reliable features and reusable insights; mentor junior staff and document learnings to scale agentic analytics and measurement practices.

Lead a global consumer support organization to deliver member-first service by optimizing Zendesk, AI-driven automation, and self-service. Drive operational excellence through KPI ownership, governance for credits/escalations, voice-of-member insights, cross-functional influence, quality programs, and workforce planning to improve CSAT, deflection, SLA performance, and cost-to-serve.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

Design, build, and maintain version-controlled workflow automations and API integrations between CRMs and external systems. Implement testing (Playwright), error handling, monitoring, and robust debugging. Convert automations into GitHub repositories, write Node.js custom logic, optimize performance, ensure security/compliance, document workflows, and prepare the automation stack for LLM/AI integration.