Technical Research Associate - AI
Keywords Studios53,840 - 60,720 USD/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data Science, Product ResearchIndustries
Requirements
Candidates should possess a strong interest in understanding user behavior, particularly how developers interact with new technologies, and demonstrate competence in coding, allowing them to experiment with and learn new tools, especially AI. They should have some experience in data analysis or data science, with the ability to conduct basic quantitative analysis and intelligently interpret data to solve problems, tell compelling stories, and drive decision-making. Furthermore, candidates should exhibit exceptional creativity and critical thinking skills, a passion for AI, and a willingness to learn quickly in a fast-paced environment.
Responsibilities
As an AI Product Researcher, you will analyze developer behavioral data related to AI coding assistants and agents to uncover key insights and trends, develop compelling narratives, presentations, and reports to support marketing, business development, and partnership initiatives, continuously track and evaluate new developments in the AI landscape, engage in rapid prototyping and create tech demos to showcase possibilities and inform product strategy, collaborate effectively with product managers, designers, engineers, and other stakeholders, and contribute to product strategy through explorations and rapid prototyping with AI technologies.
Skills
Data Analysis
Data Science
AI Technologies
Coding
Quantitative Analysis
Prototyping
Presentation
Communication
Cross-Functional Collaboration
Jellyfish
Platform for engineering intelligence and strategy
About Jellyfish
Jellyfish offers a platform that integrates business and financial strategies into the Software Development Life Cycle (SDLC). It provides insights into engineering efforts, helping businesses improve planning and decision-making while identifying bottlenecks to enhance operational efficiency. The platform also tracks deliverable progress and focuses on team health by combining quantitative data with qualitative feedback. Jellyfish aims to improve the effectiveness of engineering teams, ensuring they can deliver value efficiently.
Key Metrics
Boston, MassachusettsHeadquarters
2017Year Founded
$114MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees