Top Tech Jobs & Startup Jobs

Lead AI strategy, integration, and productization across research, consulting, and corporate workflows. Support AI product development, testing, vendor due diligence, documentation, training, and internal advisory to scale AI-driven tools and ensure ethical, effective adoption across teams.

Translate behavioral science frameworks into AI agent logic and prompts; design and QA agent workflows; test and validate AI outputs; partner with engineering to spec requirements; build playbooks and train consultants; deliver behavioral consulting during sprints.

Lead data analysis, reporting, and storytelling for Health Insurance clients. Design studies and surveys, ensure questionnaire quality, analyze results, collaborate with client teams, and produce clear, actionable deliverables on schedule.

Design, build, and maintain Python-based AI applications and intelligent workflows. Integrate AI/ML models and LLM APIs, implement APIs and microservices, optimize data pipelines, ensure scalability, security, CI/CD, and collaborate across teams to deliver production-grade AI features.

Design, build, and maintain scalable, secure cloud infrastructure across AWS and Azure using Terraform, Docker, and CI/CD. Manage production environments, monitoring, security, IAM, secrets management, automation, cost optimization, and collaborate with dev/DevOps teams to ensure high availability and reliability.

Lead UX research with a behavioral science lens: design and run generative and evaluative studies, analyze and synthesize insights, present recommendations to senior stakeholders, build client relationships, create internal frameworks and training, support business development, and explore AI applications for research.

Develop, deploy, and maintain AI-powered applications and intelligent workflows using Python in cloud-native environments. Build APIs, microservices, and data pipelines; integrate LLMs and ML models; implement retrieval/prompt-driven experiences and CI/CD; optimize performance, security, and scalability; collaborate cross-functionally and troubleshoot model and system issues.

The Senior Data Scientist will lead advanced quantitative analytics, manage complex data workflows, and translate business needs into analytical strategies while collaborating with client teams to deliver actionable insights.

Support lead consultants on client projects by moderating online communities, designing research activities, conducting qualitative and desk research, synthesizing findings into clear recommendations, writing client-facing reports, and helping nurture client relationships and presentations.