Varos is an AI Market Research firm, providing competitive intelligence, benchmarks and market research.

We sell to both Marketing Executives and Tech Executives.

For Tech Executives: Cutting through the AI chaos, we deliver clear, actionable insights & market research that drive real ROI for enterprise tech leaders.

Our proprietary approach—blending expert interviews, robust data analysis, and deep vendor insights—cuts through the noise and delivers the customized guidance you need to make faster, smarter AI decisions.

Backed by top-tier venture capital and steered by a team of former enterprise CIOs, Varos Research transforms market intelligence into tangible success.

For Marketing Executives: We have built the largest first-party data co-op in digital marketing, offering highly granular and real-time benchmarks & market trends in a give-to-get model.

Get an instant McKinsey-level audit of your account, benchmarked against 7,000+ companies, including many similar to yours for your Meta/Google Ads.

Overview

Varos just raised its latest VC round from one of the best investors in SF (still unannounced) and we are bringing on a senior engineer to join our small and mighty team. You’ll build features end-to-end and be actively involved in building the company into an empire. 

https://interviews.varosresearch.com/seniorsoftwareengineeryc – Begin your 10-minute qualitative AI interview.

Key Responsibilities

• Full Stack Development: Design, build, and optimize both front-end (React) and back-end (Python) components.
• AI Integration: Work alongside AI engineers to seamlessly integrate AI models and APIs into applications.
• Scalability & Reliability: Implement best practices for cloud deployments (AWS, Azure, or GCP), CI/CD pipelines, and container orchestration.
• Code Quality & Architecture: Maintain robust code, conduct thorough reviews, and architect solutions for performance.
• Cross-Functional Collaboration: Collaborate with design, product, and AI teams to deliver integrated, user-centric features.

Required Qualifications

• Extensive Experience: Proven track record of full stack development using Python and React in production environments.
• AI Awareness: Previous experience or strong familiarity with integrating AI/ML APIs and frameworks into apps.
• Cloud & DevOps: Hands-on experience with CI/CD, containerization (Docker/Kubernetes), and cloud infrastructure.
• Leadership & Communication: Ability to mentor junior developers and effectively communicate technical issues and solutions.

We have highly scalable data pipelines that process Terabytes of data every month, enrich data via integrations and enables zero latency queries all by maintaining data privacy. A large portion of the technical work is dealing with complex data normalization across companies and integrations, all in real-time.

Back-end mainly built with Python and SQL (using Snowflake and AWS). In the front-end, users gets a dashboard built in React.