Top Tech Jobs & Startup Jobs

As a Senior Data Analyst, you will analyze large datasets to support machine learning models, optimize AI implementations, and drive performance improvements. Responsibilities include data analysis, client onboarding, and working with cross-functional teams to enhance AI solutions.

Lead global quality engineering and testing practices for AI-driven SaaS products, enhance automation, and ensure high-quality releases through effective strategies and collaboration.

Build and maintain frontend UI modules for an analytics-focused team: translate designs into reusable components, own build/test systems, integrate with backend/Data Science/DevOps APIs, and optimize for performance and scalability.

Conduct formative and validation UX research for an enterprise agentic AI platform: recruit customers, run interviews and usability tests, synthesize findings, build repeatable research practices, and influence product and design decisions.

Lead end-to-end product design for foundational platform initiatives, especially a control tower for designing, governing, and monitoring AI agents. Drive PLG design (self-serve onboarding, in-product education), establish design systems and patterns, work directly with enterprise customers, and partner closely with Product, Engineering, and Customer teams to ship polished, scalable UX.

The SDET will test AI-based products, improve quality assurance processes, and provide feedback to enhance AI models. Responsibilities include manual and automation testing and API testing.

The Software Engineer will plan, design, and execute SOA backend platforms, focusing on Java development and DevOps on AWS. Responsibilities include defect tracking, maintaining performance, and collaborating within a multi-disciplinary team.

Design and architect scalable, low-latency backend systems for a high-throughput AI customer experience platform. Lead technical design, performance tuning, database optimization, caching strategies, distributed system design, and production readiness. Mentor engineers, drive architecture decisions around microservices, APIs, cloud infrastructure, and ensure reliability and observability.

Manage end-to-end employee lifecycle and HR operations, including onboarding/offboarding, HRIS data accuracy, payroll support, benefits administration, performance review coordination (Lattice), learning & development, employee engagement, HR analytics and compliance. Drive process improvements and deliver timely HR reporting and initiatives to improve engagement, retention, and operational accuracy.